Analytics Analyst Resume Samples

4.5 (121 votes) for Analytics Analyst Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the analytics analyst job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Resume Builder
CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.
USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.
SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Create a Resume in Minutes
RF
R Fritsch
Ruthe
Fritsch
8478 Saul Corner
San Francisco
CA
+1 (555) 992 8052
8478 Saul Corner
San Francisco
CA
Phone
p +1 (555) 992 8052
Experience Experience
Dallas, TX
Analytics Analyst
Dallas, TX
Lowe Group
Dallas, TX
Analytics Analyst
  • Work collaboratively with project managers, developers, and end-users to deliver working solutions and analytics in an Agile and Iterative manner
  • Working collaboratively with Project Managers, Developers and End-users to deliver working solutions and analytics in an Agile and Iterative manner
  • Assisting with adhoc site and performance optimization efforts through analyzing, reporting, and providing recommendations from a variety of data sets
  • Working with other Analysts to develop and implement data analytics procedures and best practices
  • Work with other analysts to develop and implement data analytics procedures and best practices
  • Create visualisation solutions for presentation to and use by senior management
  • Provide guidance and education to development teams regarding T-SQL best practices and design patterns for analytics solutions
San Francisco, CA
Business Analytics Analyst
San Francisco, CA
Braun, Rath and Marquardt
San Francisco, CA
Business Analytics Analyst
  • Assist manager in developing and driving adoption of exception based reporting
  • Manage the standardized reporting rhythm of published business performance metrics and divisional Key Performance Indicators
  • Perform correlation studies that determine what additional data sources, including External Economic Indicators, can be leveraged to improve processes
  • Work with business leaders, to identify and prioritize high value actions that can be taken or improved using data-driven decisions
  • Support new product development process using what-if scenario analysis based on past performance, market trending and relevant research data points
  • Provide analytics and improvement recommendations related to rep/agent productivity, sales metrics, process efficiencies and strategy forecasts
  • Create ad hoc reports
present
Chicago, IL
Advanced Analytics Analyst
Chicago, IL
Parisian, Heathcote and Mueller
present
Chicago, IL
Advanced Analytics Analyst
present
  • Provides analytical insights to support business solution development based on quality, use, cost and other key drivers
  • Identify areas where data analysis could reveal hidden value and work with management to explore it
  • Applies Agile development methodologies to projects of various sizes
  • Knowledge and applied use of data science, statistical learning, machine learning, and operations research techniques identified for predictive and prescriptive modeling for business applications
  • Provide timely analysis of outcomes and participate in the development of new opportunities
  • Develops methodology to measure clinical, utilization and financial outcomes of a program/initiative; conducts in-depth research to address challenging issues in measuring outcomes
  • Provide leadership to effectively communicate results of analytical solutions using visual storytelling to broad audience, including business partners and executive leadership
Education Education
Bachelor’s Degree in Interaction With Internal Partners Including Staff Members
Bachelor’s Degree in Interaction With Internal Partners Including Staff Members
Brigham Young University
Bachelor’s Degree in Interaction With Internal Partners Including Staff Members
Skills Skills
  • Highly motivated individual who is able to learn quickly and execute independently
  • Strong attention to detail
  • Good knowledge of Microsoft Office Suite
  • Good knowledge of software development life cycle methodology
  • Basic proficiency in results interpretation
  • Strong analytical, problem solving, and process improvement skills with a passion for quality
  • Good presentation skills with excellent verbal and written communication skills
  • The ability to prioritise key deliverables
  • Good verbal and written communications skills with experience in relating complex concepts to non-technical users
  • Highly organized LI-HD#DES
Create a Resume in Minutes

15 Analytics Analyst resume templates

1

Metrics & Analytics Analyst Resume Examples & Samples

  • Excellent analytic, problem solving & interpersonal skills
  • Very good communication and presentation skills
  • Basic research skills
  • Solid knowledge of Microsoft Office suite, and/or other relevant applications Desired
  • Opportunity to exercise creativity when developing reports or providing information to internal clients
2

Market Risk Department Risk Analytics Analyst Resume Examples & Samples

  • The position requires the ability to undertake research and analysis to ensure ongoing compliance with regulatory requirements, as well as the ability to communicate effectively
  • The position will include understanding the Counterparty Valuation Adjustment (CVA) regulatory capital framework, including the production, maintenance, documentation and continuous enhancement of the capital process
  • The role will require the ability to analyze and understand changes to the CVA risk metrics to ensure that the capital results are as expected
  • Responsibilities also include responding to audit, regulatory requests on a timely and accurate basis and working closely with other Market Risk departments
  • Masters in a quantitative field such as Finance, Economics or Mathematics, or equivalent
  • Strong communication, leadership and project management skills (role requires effective collaboration and consensus-building across a range of functional groups)
  • Analytical thinking and problem solving skills
  • Attention to detail and the ability to work thoughtfully and independently and manage multiple projects
  • Experience using tools like R and Matlab for statistical and econometric analysis and be familiar with database query languages, proficient in Excel and VBA
3

Private Banking Workplace & Analytics Analyst Resume Examples & Samples

  • Working with IT, gathering business requirements, analyzing, and presenting findings to Management. Analyzing gaps in current platform and processes and determine solutions
  • Acquiring data from a number of sources including working directly with databases
  • Preparing ad-hoc data analyses and reports as required by management, especially excel and tableau (or similar) modeling. Presenting and explaining analyses to management and teammates
  • Developing powerpoint presentations for and on behalf of RM Strategy and Analytics team
  • Performing monthly tasks associated with compensation for 300+ Relationship Managers
  • Supporting compensation head in answering calls/questions from RMs on a daily basis
  • Creating models to calculate and analyze pricing impacts on compensation
  • Overseeing RM loan program reporting and collection
  • 3-5 years experience in data analysis, research, wealth management, or consulting
  • Experience working with IT as a business analyst or project manager
  • Advanced Excel Modeling and Powerpoint skills
  • SQL and/or Tableau experience is a plus
  • Excellent teamwork, interpersonal and conflict resolution skills
  • Knowledge of financial markets, esp CFA interest/candidacy is a plus
  • Ability to present ideas and concepts in a concise manner in front of a larger group
4

Business Analytics Analyst Resume Examples & Samples

  • Despite the ongoing challenging global and regional economic circumstances, the business continues to present a resilient performance. Going forward, CMB is keen to deliver on its strategy to attract the right customers who benefit from our international connectivity and strengthen our reputation as the leading international trade and business bank. A key priority will be driving balance sheet and revenue growth while maintaining absolute focus and execution of Global Standards, Risk & Compliance to ensure that our conduct matches our values
  • The role holder is expected to be a key member of the analytics community, reporting to the Business Analytics Manager NAM / Senior Business Analytics Manager NAM Manager Business Analytics NAM. The role holder is expected to use keen business judgment and analytical tools in driving the best results, while leveraging a highly technical environment using a range of software and programming languages to access multi terabyte data warehouses and files. S/he would support the line manager to devise & deliver an agreed & planned program of work supporting business objectives and working with analytical teams across different functions and multiple sites
  • The role holder is expected to liaise with Marketing team on building a best-in-class analytical capability as a driver of incremental business value and P&L growth. The role holder also has a responsibility to contribute towards enhance application of analytics to more sophisticated and complex campaigns
  • Proven problem solving skills with ability to consider alternative and innovative solutions
  • Understanding of the principles of data management and information security
  • University Degree/College Diploma in finance/IT preferred
5

Client Analytics Analyst Resume Examples & Samples

  • Assess current workflow and propose improvements and efficiencies through the use of technology and automation
  • Build and maintain analytical tools and reports for the Client Interface Group
  • Provide analytical support for client-driven research projects
  • Produce the monthly Pre-IC packets
  • Qualitative and quantitative review investment-related content. Must be capable of assessing content and preparing information for client distribution
  • Prepare monthly and quarterly deliverables to clients and consultants
  • Assist in preparation for client meetings
  • Participate in process improvement projects and contribute innovative ideas to enhance client servicing
  • Review qualitative responses provided in RFPs and RFIs
  • BA/BS from a competitive college or university
  • MA/MS in a related degree program from a competitive university
  • Excel VBA, SQL
  • 1-3 years of experience in capital markets (hedge fund and hedge fund strategy experience a plus)
  • Ability to manage multiple tasks with changing priorities
  • Strong organizational skills and ability to meet tight deadlines
  • Candidates should be highly motivated, dedicated, energetic, flexible, independent and proactive
  • LI-N
6

Speech Analytics Analyst Resume Examples & Samples

  • Proficiency with Verint tools
  • Working knowledge of P & C LOB systems, products and services
  • In-depth analytical thinking
  • Excellent oral and written communication skills, especially in the areas of active listening and providing objective feedback
  • Exceptional relationship building skills
  • Able to apply critical thinking within provided parameters
  • Self-motivated, team player who can also work independently
7

Client Insights & Analytics Analyst Resume Examples & Samples

  • 50% of time: Primary client research and insights support, including managing/working with vendor partners (qualitative and quantitative), conducting qualitative research as needed (one on one interviews, shopalongs), crafting and programming surveys (in vendor software and/or using SAS), creating data tabulation/analysis plans, managing qualitative field activities, obtaining and managing client emails for quantitative fielding activities, analyzing insights from quantitative and qualitative research activities, preparing findings reports (including high level summaries, with implications/recommendations), and presenting/communicating findings via a variety of methods (written, in-person, digital mediums, creative/visual mediums, etc.)
  • 50% of time: CRM database analytics, including pulling data from the customer database using sql and proc sql/sas and then creating and manipulating scripts in SAS to analyze the data and better understand who our customer is across life stages, products, regions, stores, etc. Also will use this analysis to monitor trends in changing customer data
  • Pull, manipulate and analyze data from multiple internal and external data sources
  • Develop insights-driven analyses and reports that communicate complex data in clear, action-focused manners
  • Collaborate with business partners across ecommerce, finance, client relations, store operations, merchandising, planning and allocation in developing views on the customer and executional opportunities
  • Both areas of responsibility require the ability to plan and coordinate projects with internal clients as well as others in the marketing department and external vendor partners
  • BS/BA or equivalent experience in field incorporating research, analysis and statistics and research, such as market research, marketing, consumer behavior, statistics, mathematics, finance, economics, etc
  • Demonstrated strong analytical skills and critical thinking abilities
  • Demonstrated experience with writing and analyzing surveys
  • Demonstrated experience with survey writing software and SAS
  • Demonstrated experience with qualitative research techniques (in-home interviews, one-on-one interviews, shop-alongs, etc.)
  • Excellent skills in Excel (macros, pivot tables, complex formulas, analytical tools)
  • Excellent skills in PowerPoint with the ability to create clear, concise reports and presentations
  • Experience also preferred with either Microsoft MSI or Business Objects
  • Good people skills, good communicator (personal and writing)
  • Detail oriented and accurate
  • 2+ years in a data analytics role (statistical analysis, campaign analysis, predictive analytics, segmentation, research analytics) preferably within a marketing organization or agency
  • Demonstrated education or experience in statistical analysis and descriptive/predictive modeling (clustering, factor analysis, regression analysis, ANOVA) and experimental design
8

Speech Analytics Analyst Resume Examples & Samples

  • Listening to and coding calls
  • Consultation and Advice
  • Presentations
9

Co Op Credit & Risk Management Analytics Analyst Resume Examples & Samples

  • Communicate and document the results or findings
  • Computer skills: Excel, Access, SQL, VBA
  • Knowledge of general banking and credit risk theory will be an asset
10

Analytics Analyst Resume Examples & Samples

  • Develops a strong understanding of the clients' business, current digital marketing initiatives, and customer experience goals; Actively works towards insights and recommendations that will help Razorfish deliver solutions to meet these goals
  • Work with Sr. Consultants or account teams to translate client requests into analytic work plans
  • Enjoys working with clients and team members to help them understand the implications of Customer Insights
  • Serves as an evangelist for data-driven decision making, accountability, and a commitment to continuous optimization
  • Perform hands-on analysis of large volumes of web analytics, transaction and customer level data. Work with complex data structure, manipulate, cleanse data and perform statistical analysis
  • Learn and deliver online customer analyses, which may include: Customer Segmentation, Retention Analysis, Lifetime Value Analysis, Advertising Research, Brand Research, Site Utilization
  • Superb at time management and project management Education and/or Experience Required
  • Experience with one or more website reporting tools: - Unica NetInsight - Webtrends - Omniture - Visual Science - Coremetrics - WebSideStory - Experience cleansing, manipulating, and transforming data
  • BBA/MBA with emphasis in marketing/management science (equivilent work experience could substitute)
  • Proficient in SQL and Excel - Experience in creating and delivering presentations using PowerPoint Preferred
  • Experience in the any or multiple areas below would be a plus
11

Operational Analytics Analyst Resume Examples & Samples

  • Responsible for effective manipulation and calculation of data, which can be analyzed and turned into business information and presented to Sr. Management in the form of feedback with recommendations to improve performance
  • Utilize multiple software systems to aggregate, validate and analyze large quantities of data
  • Work with risk, loss and operations field support partners to define operations metrics and scorecards to support the on-going measurement of the performance of the business
  • Work closely with the operations management and field support teams to produce, compile and distribute Scorecards to multiple levels of end-users
  • Produce on-going and ad hoc analytics to understand the operational performance of the business and identify existing operational defects, emerging trends and performance improvement opportunities
  • Provide key insights to leadership around the operational performance of the overall business and the respective branches and geographies US Retail Bank network
  • May be responsible for resource management and allocation of work within the team/project
  • Applies/demonstrates advanced understanding of processes, procedures, and policies for area supported
  • Acts as advisor or coach to new or lower level personnel in the business processes and procedures of area supported
  • Influences strategic functional decisions through advice, counsel or provided services that have direct impact on the business
  • Persuades and influences others through developed communication and diplomacy
  • Previous management in analytical environment preferred
  • Ability to balance multiple projects and deadlines
  • Attention to detail with emphasis on accuracy and quality
  • Strong skills in Excel, Access, SQL &/or SAS is preferred
  • Working knowledge of the retail bank operating environment and controls
  • Must be able to coordinate and deal with conflicting time demand
  • 5+ years in financial services operations and/or risk management
12

Senior Analytics Analyst Resume Examples & Samples

  • 3+ years of experience in Financial Analysis / Big Data Analytics
  • Previous experience with Budgeting, Forecasting, and Cost analysis
  • Microsoft Excel and Access proficient
  • Knowledge of the US Healthcare System
  • Familiarity with SAS
13

Business Analytics Analyst Resume Examples & Samples

  • CMB is one of the fastest growing businesses in the Bank and a key success story for the Group. Despite the ongoing challenging global and regional economic circumstances, the business continues to present a resilient performance. Going forward, CMB is keen to deliver on its strategy to attract the right customers who benefit from our international connectivity and strengthen our reputation as the leading international trade and business bank. A key priority will be driving balance sheet and revenue growth while maintaining absolute focus and execution of Global Standards, Risk & Compliance to ensure that our conduct matches our values
  • NAM Business Analytics Team reports to the NAM CMB Head of Business Management and helps shape business strategy and implementation by using business knowledge and analytical techniques to deliver excellent analytical support
  • The role holder is expected to be a key member of the analytics community, reporting to the Business Analytics Manager NAM / Senior Business Analytics Manager NAM/ Manager Business Analytics NAM. The role holder is expected to use keen business judgment and analytical tools in driving the best results, while leveraging a highly technical environment using a range of software and programming languages to access multi terabyte data warehouses and files. S/he would support the line manager to devise & deliver an agreed & planned program of work supporting business objectives and working with analytical teams across different functions across multiple sites
  • Experience in the application of best practices in Data Warehousing, Business Intelligence, Analytics, Data Governance and Information Security
  • Extensive experience working with structured data and relational database tools, theories and techniques
14

Modeling & Analytics Analyst Resume Examples & Samples

  • At least 6 years of experience in Marketing quantitative analysis
  • At least 5 years banking/financial services experience
  • Bachelor’s degree
  • MBA or MS in statistical/decision sciences or managerial economics preferred
  • 3 years managerial experience preferred
  • In-depth knowledge of statistical tools and techniques used for modeling, segmentation, and data analysis with direct application into marketing use cases preferred
  • Some financial services industry experience including being comfortable creating direct presentation of findings and recommendations to senior level management preferred
  • LI -DM1
15

Freelance Senior Analytics Analyst Resume Examples & Samples

  • Implement analytic work plans and/or proposals
  • Work with Sr. Consultants to plan and execute online surveys using survey technologies such as Factor TG
  • Perform data transformation, data cleansing and coding for open-ends that are necessary for survey data analysis
  • Execute analysis based on a delivery plan created by the team
  • Participate and support in delivering results and presentations to clients
  • Work with consultants to implement modules and ad hoc requests within customer- specific analyses
  • Performs hands-on analysis of large volumes of transaction and customer level data
  • Work with complex data structure, manipulate, cleanse data and perform statistical analysis
  • Provide support for ad hoc requests from consultants across a broad range of clients
  • Support client relationships and accounts management within the context of the Customer Insight Group
  • Learns and delivers customer-specific analyses such as: Customer Segmentation, Retention Analysis, Lifetime Value Analysis, Advertising Research, Brand Research, Site Utilization
  • Manages client relationships and accounts within the context of the Customer Insight Group
  • Creates internal knowledge sharing documents and case studies to promote Razorfish expertise
  • Proficient user of SAS and/or SQL. Experience working with transaction-level data is strongly preferred
  • Hands-on practitioner of multivariate statistical analysis (regression and simple segmentation)
  • Ability to query/join/transform data in a relational database
  • Ability to interpret data and analysis results to generate insights
  • Superb at time management and project management
  • The applicant must have at least a Master's degree in a quantitative field (e.g. Math, Statistics, Engineering, Econ, or Psychology, etc.)
  • A minimum of two to four years of work experience in a business environment is highly preferred
  • Interest or experience in any or multiple areas below would be a plus
  • Brand building/positioning/tracking
  • Marketing channel integration/media integration
  • Managing large research or consulting projects
  • Management/strategy consulting
  • Site usability studies
16

Senior Analytics Analyst Resume Examples & Samples

  • JavaScript, jQuery, CSS and HTML skills
  • Understanding of tag management systems: tags, rules, variables, and jQuery
  • Strong interpersonal skills, a positive attitude and the ability to thrive in a collaborative agency environment with multi-disciplinary teams required
  • A minimum one (2) years of experience with web analytics tools and methods to be used for website/ad campaign research, site testing and targeting, and/or display ad targeting
  • A minimum one (1) year of experience using tag management systems
  • An equivalent combination of education and experience may be considered
17

CCO Predictive Analytics Analyst Resume Examples & Samples

  • Working closely with the Citi Technology Infrastructure and Business-side technical staff & managers, to provide technical planning assistance for Predictive Analytics and Dashboard creation and maintenance
  • Provide support for and be an SME in CI Topology, Health and Key Performance Indicator configuration across all environments in Predictive Analytics through Java programming and Groovy scripting
  • Provide support for Metric Connector configuration, maintenance and support. Indicators setup and tracking via programming languages
  • Assist with the analysis of monitoring data to improve the accuracy of Predictive Analytical alerts, via Service Health Analyzer and CI Topology configurations to enhance the effectiveness of current groovy scripts
  • Provide training and adoption to Citi Technology Infrastructure and Business-side technical staff & managers. Be an Interface SME and contact point for any customer issues
18

AML Discovery Analytics Analyst Resume Examples & Samples

  • The ADA Analyst plays an integral role in the establishment of the AML ADA function in EMEA, and in coordination with global ADA partners. With assistance from regional subject matter experts, they will determine suitable data access requirements, coordinating with the regional Data Privacy Office to determine the extent of data sharing access and restrictions and will be closely involved in the creation and execution of the Regional ADA Procedures
  • The ADA Analyst works closely with the EMEA Anti-Money Laundering Risk Advisory team, AML Transaction Monitoring, AML Global Investigations and AML Financial Intelligence Units to interpret the most suitable parameters for data analysis and consulting with the appropriate parties in determining the output of data analysis work
  • The Analyst role focuses on the establishment and execution of the ADA strategy in EMEA, executing data mining and analytics tasks and drawing conclusion based on customer and transactional data analysis about Citi’s potential exposure to suspicious financial activity
  • Ability to use programming / computer packages to perform data mining and data analytics
  • Experience with SQL database query languages required
  • Experience with Business Intelligence Tools such as Spotfire, Tableau, Microstrategies or others a distinct advantage
  • University degree in Computer Science, Mathematics, Statistics, or relevant professional experience in data analytics or financial services is preferred
  • An ability to interpret, communicate and apply output of numerical data analysis to business problems and risks
  • Familiarity with AML systems such as Quickscreen and MANTAS is preferable although training can be provided to those not familiar with the systems
  • Good planning, analytical and organization skills with a strong focus on practical application of data analysis to business issues
19

Business Analytics Analyst KPO Resume Examples & Samples

  • The individual should have an analytical bent of mind as he/she would be required to do financial analysis and performance analysis. Excellent communication skills, attention to detail and a proven analytical ability will be elementary skills for this role
  • The incumbent should ideally have interest in & knowledge of financial products & markets
  • Analyze trading patterns across business
  • Developing MI on business performance at various levels for senior management and desk heads
  • Working closely with the CFO/COO groups to analyze financials and business performance
  • Balance Sheet analysis and Inventory management across businesses
20

Analyst, Optimization Analytics Resume Examples & Samples

  • Partnering with marketers and product managers on the end-to-end process of test design, implementation and analysis
  • Building the optimization practice and collaborating with research, user experience, analytics partners to enhance the test design process
  • Using observation and analysis to recommend iterative improvements to site design and marketing, and measuring the success of those recommendations
  • Documenting and communicating findings and insights to stakeholders across the company, including senior executives
  • Documenting test requirements and creating a test design, providing sample size and other tactical recommendations to ensure a robust test
  • Working with technologists to communicate test requirements and ensure necessary tracking and analytics are in place
  • Introducing and maintaining Bayesian methodologies for testing; Training other analysts in analytical methodology, test design and analysis
  • Contributing to broader solution design for a consistent and scalable approach to testing at The New York Times
21

Special Analytics Analyst Resume Examples & Samples

  • Ability to manage & develop analytic solutions to deliver on complex projects
  • Measure & own the business impact of work, Set and manage partner expectations, manage timeliness around project priorities
  • Improves business processes to drive efficiencies
  • Is able to coach/mentor junior team members on theory/practical applications of relevant tools & techniques
  • Business Knowledge: develop business context and knowledge
  • Communication: independently manage communication with US based partners
  • Teamwork: collaborate with colleagues to leverage best practices
  • 2-5 years exposure to Financial Services
  • Candidate should have worked in any of the following domain: (Credit Cards, Retail Bank, Mortgage, Lending/Liability Product)
  • Hands-on working with data
  • Hypothesis testing, knowledge of segmentation
  • In-depth understanding of Customer Lifecycle Management within the financial services domain (Cards, Retail Bank, Mortgage, Lending/Liability Product)
  • Client focus: proficient in managing various stakeholders
  • Capability to act as an owner & deliver results
  • Effective communication & good interpersonal skills
22

Senior Analytics Analyst Resume Examples & Samples

  • Maintain ownership of the structure, management and vendor relationship of our DMP partner
  • Recommendations to the Sales, Marketing and Content teams using key insights gained from audience analyses
  • Use ski and/or travel industry expertise to capitalize on user interactions and predicted behaviors
  • Perform ad hoc statistical and data mining analyses
23

Assoc App Analytics Analyst Resume Examples & Samples

  • Provide analytics support for native mobile app platforms for Disney Parks and Resorts Digital
  • Work closely with the digital analyst cast members, supporting their needs for data and insight
  • Build a strong understanding of the native app analytics implementation
  • Update reports on a daily and weekly basis, providing insights and collaborating with digital analyst counterparts
  • Develop quantitative and qualitative analyses and ad-hoc reports to monitor performance and trends
  • Assist in deep-dive analyses and presentations
  • Must be passionate about analytics and using data to tell a story
  • Proven team player with strong communication skills
24

Senior Business Analytics Analyst Resume Examples & Samples

  • Bachelor’s degree in business, statistics, or related field required
  • 4-6 years related experience in analytics and/or process improvement role required
  • Intermediate to advanced knowledge of statistical products (Minitab, SAS, SPSS, R etc.) preferred
  • Intermediate to advanced knowledge of SQL, SSRS, SSAS, TOAD and/or other data warehouse and presentment applications required
  • Advanced working experience with Microsoft Office suite (Word, Excel, PowerPoint) required
25

Provider Development CoE Analytics Analyst Resume Examples & Samples

  • Bachelor’s Degree in Finance, Accounting, Computer Science, Mathematics or a related field
  • Financial and business acumen; ability to put context around data
  • Ability to think “outside the box”; ability to identify issues and provide resolutions quickly
  • Familiar with Microsoft Excel – Ability to build pivot tables and utilize VBA
26

Market Risk Department Risk Analytics Analyst Resume Examples & Samples

  • The position requires the ability to undertake research, modeling, development and analysis to ensure appropriate modeling and capture of risk, regulatory capital calculation, ongoing compliance with regulatory requirements, as well as the ability to communicate effectively
  • Responsibilities also include responding to audit, regulatory requests on a timely and accurate basis and working closely with other departments
  • Masters in a quantitative field such as Finance, Economics, Engineering or Mathematics, or equivalent
27

Analytics Analyst Resume Examples & Samples

  • 1+ year of experience in Media and/or Creative / Web Analytics
  • Bachelor's degree in Marketing, Economics, and/or Business
  • Previous experience as an Online Marketing Analyst with a solid grasp on Marketing
  • Solid Quantitative/Analytic coursework (e.g. statistics, modeling etc.)
  • Knowledge of Ad-serving technology and experience of creating DoubleClick reports
  • Understanding of Internet technology, URLs, domains, and database concepts
  • Highly organized *LI-HD#DES
  • Familiarity with other online data sources (e.g., RTB, Search, E-mail, competitive analysis tools etc.)
28

AM Global Wealth Mgmt-risk Analytics Analyst Resume Examples & Samples

  • Daily review of margin related transactions
  • Accessing the adequacy of margin requirements
  • Review and approval of credit facilities
  • Periodic reviews of credit facilities
  • Review of collateral stress reports
  • Review and creation of ad hoc exposure reports
  • Monitoring concentrations of collateral
  • Frequent interaction with the Private Bank and JPMS front offices with regards to time sensitive transactional inquiries
  • Setting and enforcing credit and trading limits
  • Interaction with Capital Advisors with regards to structuring credit
  • Series 7 a plus
  • Knowledge of Regulations T and U as well as FINRA margin regulations, preferred
  • Working knowledge of US Federal Securities regulations, Rule 144 and 145, a plus
  • High-level of proficiency in organizing, prioritizing, and managing issues
29

Operational Risk Analytics Analyst Resume Examples & Samples

  • Work with other team members on theoretical and numerical issues related to the methodology and tools for operational risk quantification
  • Work with ORD to address its request for additional analysis based on specific needs as they arise
  • Attend conference calls and meetings that relate to the tasks above
  • 2+ years experience in Financial Service industry, preferably in the field of Operational Risk modelling and quantification (direct involvement in the Basel II AMA and/or CCAR/DEFAST process is definitely a plus)
30

Business Analytics Analyst Resume Examples & Samples

  • Minimum 5 years demonstrated experience leveraging analytics and data mining to deliver tangible business improvements
  • Bachelor's degree in a quantitative field such as statistics, mathematics, economics, computer science
  • Demonstrated strong SQL and SAS statistical programming skills (SAS Base Certification)
  • MS SharePoint Developer experience including workflows and security controls
  • Extensive knowledge of database design and relational database principles
  • Technical knowledge and/or experience using various statistical, forecasting, and predictive modeling methods a plus
  • Excellent verbal and written communication skills - ability to summarize findings into concise high level points geared towards the audience and visually depict key data and findings
  • Strong decision making capabilities and the ability to identify problems, propose solutions, and influence change
  • Negotiates to find creative solutions to reach goals of the group and achieve win/win solutions
  • Experience with JPMC's I/T Control Policies
  • Experience with change management and the ITSM system
  • Strong attention to detail and accuracy - proven ability to produce quality results timely
  • Excellent communication skills (written and verbal in a clear/concise manner)
  • Ability to recognize/foresee downstream impact(s) before presenting recommendations
  • Ability to retain information long-term (many events/processes are conducted annually)
  • Detail-oriented individual with strong issue resolution, time management and organizational skills
31

Analyst, Sijcp Analytics Resume Examples & Samples

  • Own reporting on the performance of various marketing campaigns across multiple channels including: email, direct mail, loyalty program initiatives, in-store events
  • Analyze historical client behavior and aid in conducting deep-dives to provide data-driven insights and recommendations to strategic business questions
  • Develop, execute and analyze customer segmentation initiatives across all marketing vehicles
  • Work with cross-functional partners on ongoing analysis of client behavior, brand performance, and industry trends to dive into the drivers of business performance
  • 2+ years of experience in an analytical role
  • Proficient SAS/SQL programming skills (to join and merge data)
  • Demonstrated success in analyzing trends, creating reports, and providing actionable data-driven insights
  • Highly proficient in Excel and Powerpoint with the ability to ‘tell a story’ that provides insight into the business by leveraging data
  • High level of initiative and proven ability to work independently on multiple projects in a fast-paced environment
  • Exceptional problem solving and analytic skills
  • Able to synthesize data from multiple sources to tell one coherent story
  • Experience working with an email service provider is a plus
  • Strong interpersonal skills to collaborate with cross-functional teams
  • Strong written and verbal communication skills with the ability to communicate findings to all levels of the organization
32

Analytics Analyst Resume Examples & Samples

  • Data sourcing, discovery and analytics using a variety of tools, visualisation and scripting
  • Providing hands-on analytics and application of data science techniques, such as statistical modelling and predictive analysis, to provide transformative proposals
  • Creating models, reports and visualisation solutions providing interpretation and insight into business data and processes
  • Identifying issues and performing analysis techniques, such as pattern analysis and root cause analysis, to help identify cause and propose solutions
  • Working with other Analysts to develop and implement data analytics procedures and best practices
  • Providing quality assurance of deliverables
  • Promoting innovation and collaboration
33

Business Analytics Analyst Resume Examples & Samples

  • Analyze lead prioritization and automated engagement actions
  • Develop insights and understanding of business performance based on data and statistical methods
  • Provide analytics and improvement recommendations related to rep/agent productivity, sales metrics, process efficiencies and strategy forecasts
  • Maintain a thorough knowledge of the business and systems within the supported group
  • Assist in resolving technical issues, such as report/query malfunction, lapse in visualization stability/functionality and lead distribution mechanics
  • Bachelor’s degree in a business-related field or equivalent experience
  • One year of experience in data analytics, process improvement or other relevant work
  • Understanding of data tools for visualization, extraction, modeling, CRM solutions and SQL
  • Analytical and problem-solving skills to analyze and create reports
  • Communication and presentation skills for delivery of reports and analysis
  • Ability to multi-task and work as part of a team in a dynamic and complex environment
  • Proficiency using MS Office (Word, Excel, PowerPoint)
  • Background in the insurance/financial services industry
  • Experience using Hadoop/Hive, Tableau, SQL, Salesforce.com
34

Global Product & Solutions Projects & Analytics Analyst Resume Examples & Samples

  • Maintaining and enhancing existing product management information process
  • Analysing and ensuring the data quality in existing and newly defined processes
  • Providing reports to various internal Clients including the Divisional Senior Management as well as Regulatory and Governance Oversight Committees
  • Conducting regular and ad-hoc analysis of monthly or quarterly performance information and communicating it to relevant Stakeholders
  • Developing new sources of performance analytics
  • Developing and implementing new reporting standards together with business Stakeholders
35

Analytics Analyst Resume Examples & Samples

  • Analysing existing data quality rules, data sources and business needs to create a fit for purpose data quality measurement rule set
  • Developing and measuring the effectiveness and efficiency of data rule’s and the associated Key Performance Indicators’ (KPI) and regular reporting
  • Conducting data sourcing, discovery and analytics using a variety of tools, visualisation and scripting
  • Conducting hands on analytics and the application of data science techniques, such as statistical modelling and predictive analysis, to provide transformative proposals
  • Creating models, reports and visualisation solutions providing interpretation and insight into DQ business data and processes
  • Conducting issue identification and analysis techniques, such as pattern analysis and root cause analysis, to help identify why issues occur and propose solutions
36

Business Analytics Analyst Resume Examples & Samples

  • Develop a thorough understanding of the competitive landscape including industry trends, strengths, weaknesses, opportunities and threats to aid in identifying business opportunities that refine product positioning and target audience selection used in key strategy development. Provide analysis on Morgan Stanley’s competitor’s current capabilities and make recommendations on areas for competitive differentiation – by mining our share data
  • Provide regional analytics, such as those used to identify best customers to prospect and deepen relationships with
  • Baseline modeling to include next logical product model, financial advisor regional resource optimization, test / control models, and client / household segmentation
  • Run ROI scenarios by establishing initial market sizing estimates, along with preliminary cost and time of entry estimates
  • Support new product development process using what-if scenario analysis based on past performance, market trending and relevant research data points
  • Interaction with a wide variety of business units within the Marketing group, Enterprise and outside vendor partnerships is required. In this role the Vice President will manage components of market exploration and business case initiation, defining appropriate target audiences for strategies, building hypotheses and assumption to test in the marketplace, conducting in partnership research and analysis, developing initial financial projections, and potentially project charter & recommendations
  • Work effectively in cross-functional teams, having demonstrated strong partnerships with both internal and external business partners and alliances
  • Demonstrated ability to collect and organize data, understand the relationships between data sources, conduct analysis and report on and apply results to “actionable insights / recommendations”
  • Power user of SQL, SAS base, SAS Macro, and other statistical software packages, with Enterprise Miner experience a plus
  • Solid data modeling experience is required with proven application in applying Decision Trees, Regression analysis, neural network, and other data mining techniques, experience with time series and experimental design
  • Self-starter with strong and creative problem-solving skills
  • Need to be able to succinctly communicate ideas, recommendations orally and in writing to a wide range of audiences, as well as exceptional listening and presentation skills
  • Related financial services industry experience of at least 3+ years is Required
  • Bachelor’s degree required with advanced business or applied mathematics degree preferred
  • Moderate day-to-day direction required from manager
37

Analytics Analyst Resume Examples & Samples

  • Advising on suitable measurement strategies and KPI's
  • Developing, maintaining and administering various reporting solutions to generate meaningful data across multiple and disparate systems including online behavioral data, conversion data, customer satisfaction data, site performance data, and multi-channel attribution data
  • Analyzing, and creating meaningful and actionable daily, weekly and monthly reports, dashboards, and scorecards
  • Presenting and sharing reports and findings with our clients and internal strategy, design, and technology teams
  • Assisting with adhoc site and performance optimization efforts through analyzing, reporting, and providing recommendations from a variety of data sets
  • Running and automating various reports including custom reporting using SQL, SPSS, and a variety of web analytics, customer satisfaction, and web performance monitoring tools
  • Helping define, implement and maintain best practices for enhancing data quality, consistency, usability, and availability
  • Assisting in ongoing implementation, testing and optimization of analytics and performance monitoring tools and services
  • Staying abreast of current trends and best practices in web analytics tools & techniques
  • Previous experience with Adobe Site Catalyst & Google Analytics preferred
  • Ability to relay complex analytical data to internal and external audiences, with various levels of analytics knowledge
  • A quick learner and problem solver with demonstrable history of independent learning
  • Energetic and self-motivated team player with a positive attitude
  • The applicant should have at least 1-3 years of work experience in a business environment
38

Modeling & Analytics Analyst Resume Examples & Samples

  • Driving the design and execution of analytical processes within engagements, working in concert with practice area professionals, engagement managers and other engagement team members (e.g., work on a project team responsible for developing a suite of stress testing models for a large European bank, covering the end-to-end process from onboarding millions of records of historical loan portfolio data to building comprehensive balance sheet models for review with bank and regulatory stakeholders, ultimately impacting capital decisions)
  • Serving as the central point of coordination with the BRS Financial Modeling Group (“FMG”) and the Portfolio Analytics Group (“PAG”) with respect to project design, execution, and delivery, as well as strategic deployment and coordination of resources (e.g., develop a deep understanding of analytics, modeling, and technology at BlackRock while building a broad network across the firm)
  • Play a hands-on role in client project execution for customized modeling engagements and model validation advisory assignments – working in close collaboration with FMA engagement teams – by participating in model development and data analysis
  • Implement procedures and standards for modeling content and related documentation supporting project needs, and clients’ business and model validation requirements
  • Provide support for business development, lead qualification and strategic product development for all projects with a custom model estimation or model validation component
  • Develop expertise in FMA modelling and analytics capabilities, staying current on latest developments and trends
  • Collaborate with FMG, Risk and Quantitative Analysis (RQA) and other related teams at BlackRock for model development, model risk management and documentation best practices and approaches as well as on any validation-related topics pertaining to BlackRock’s proprietary models (e.g. Aladdin)
  • Serve as subject matter authority on FMA model validation expertise, staying current on latest sector-specific regulatory guidance, industry best practices, developments and trends
  • 1-4 years of professional experience either in developing and/or validating models using underlying methodologies relevant for FMA projects (e.g. statistical, behavioural)
  • Experience with several scripting, data management, and / or visualization tools / programming languages, e.g. VBA, R, Python, SAS, and SQL – Knowledge of SAS and 1 more language a plus
  • Background in financial services ideal; publications or experience in consulting a plus
  • Superior organizational skills, self-starter and ability to perform under pressure and tight deadlines in a fast-paced, high-intensity environment
  • B.A. / B.S. or significant coursework in an engineering, technical, and / or quantitative discipline: Computer Science; Math; Statistics; Operations Research, Engineering; Physics
39

Senior Analytics Analyst Resume Examples & Samples

  • In partnership with Product Owner, Architecture, and Engineering team members, deliver of analytics solutions, including collecting data from providers, building transformations and integrations, persisting within repositories, and distributing to consuming systems
  • Proactively work to identify, communicate, and resolve project issues and risks that interfere with project execution
  • Partner with application, platform and technology teams to develop maintainable solutions, operationalize support activities and ensure the defined service level objectives are met post go-live
  • Participate in requirements-gathering and definition of processes, including data discovery and data analysis against structured, semi-structured, and unstructured data
  • Contribute to change management across user base and support teams, including training and creation of artifacts for use post go-live
  • Rapid response and cross-functional work to deliver appropriate resolution of technical, procedural, and operational issues
40

Analytics Analyst Resume Examples & Samples

  • Working with the SME Lead to ensure all obligations around data privacy are met
  • Working with SME’s to ensure technical work, is aligned to Data Analytics COE technical standards
  • Carrying out technical work on data protection supervised by the Lead SME
  • Assisting the Lead SME, the Data Protection Team and the Securities & Investment SME, in the translation of regulatory requirements on data privacy, to system controls and other non functional IT requirements
  • Building relationships with technical peers in particular for data privacy in Legal, Data Protection in the wider COO and other SMEs in the Data Analytics COE
  • Working with cross divisional SMEs, on the implementation of regulatory requirements on data privacy to system controls and other non functional IT requirements
  • A strong background in technical data privacy or data protection projects, in either a banking or non banking environment
  • Some knowledge of the regulatory environment for data privacy
  • An understanding of the relationships between data privacy regulation, data protection regulation and secrecy laws in banking
  • Experience implementing control environments that satisfy regulatory demands (beneficial)
  • Focused on delivery
  • Good presentation skills with excellent verbal and written communication skills
  • A Bachelors or Masters Degree from an accredited college or university, or the equivalent diploma/work experience
41

Analyst, Omni-channel Analytics Resume Examples & Samples

  • OMNI-CHANNEL ANALYSIS
  • Expertise in understanding marketing integration between Web, CRM, Direct, Social Media, PR, Search, Paid Media and Ecommerce
  • Strong presence to present persuasive recommendations to leadership as well as key external stakeholders, including ability to communicate complex ideas and recommendations to leadership that highlights a clear decision framework based on analysis and experience
  • Strong project management competency managing cross-functional roles without direct supervision and selecting and managing vendors and outside contractors to augment internal capabilities
  • 2-4 years of relevant experience, preferably with a top ecommerce retail brand, entertainment brand or advertising agency
  • Advanced knowledge of Adobe Site Catalyst/Analytics products
  • Experience with business intelligence reporting tools and dashboards
  • Experience leading cross-channel A/B or multivariate testing
  • Travel & Resort Industry, Entertainment &/or Theme Park experience
  • Key Consumer Segments
  • Website Development
  • Digital Marketing
  • Marketing Analytics / Adobe Analytics
  • Adobe Target / Audience Manager
  • Email marketing and marketing automation expertise within ExactTarget, Silverpop, Marketo, Eloqua, Pardot or Hubspot
  • Attribution reporting within Adometry, VisualIQ, Convertro or similar
  • Business Intelligence Reporting
  • CRM Execution
  • Ecommerce Funnel
  • Consumer Journey Measurement
  • Advertising Agency Account Management
  • Financial Pro-forma, forecasting, and business case development
  • Experience working with an enterprise web analytics platform (e.g., Adobe/Omniture, IBM/Coremetrics, Webtrends, etc.) preferred
42

Analytics Analyst Resume Examples & Samples

  • Assisting the Data Protection Team Lead, in cross divisional project and programme management within regulation implementation
  • Maintaining all budget, resourcing and planning data within the wider project
  • Maintaining a central repository of project templates, tools, techniques and documentation
  • Building relationships with cross divisional peers, involved in the planning and implementation of Data Privacy work
  • Working with the data protection SME Lead to ensure all obligations around data privacy are met
43

Provider Analytics Analyst Resume Examples & Samples

  • Familiar with Microsoft Excel – Ability to build pivot tables
  • Familiar with data interpretation and analysis
  • Financial and business acumen; ability to put context around data and find root cause issues specific to data
  • Familiar with SAS or SQL
  • Familiar with Microsoft Excel – utilize VBA
44

Predictive Analytics Analyst Resume Examples & Samples

  • Based on the project scope identified by Predictive Analytics Director or Leader, develop data collection plans and gather the data set from reporting team or HR & Finance systems
  • Using statistical and data mining tools, drill down the data gathered and identify key factors to attribute to predicted value such as turn over, quality of hire, job performance and employee engagement level
  • Understanding business needs and problems through effective communications and improve accuracy of the prediction models
  • Continuously learn cutting edge statistics, data mining and machine learning technology, share the learning with the team and apply the knowledge to the projects
  • Proactively monitoring HR data to identify opportunities for additional analysis
  • Recommend enhancements to HR reporting tools to do advanced analytics; work with HRIT on implementation
  • Develop and execute control plans to monitor the accuracy and effectiveness of the predictive models and optimization solutions for HR and Business
  • Bachelors degree or relevant certification desired
  • Ability to translate data into meaningful information
  • Ability to visualize the data & solutions, as simple and easy to understand for the customers
  • Strong interest in Human Resources and Data Analytics
  • Action oriented and quick learner behaviors
45

Predictive Analytics Analyst Resume Examples & Samples

  • Data Science
  • Psychology
  • Computer Science in Artificial Intelligence or Machine Learning
  • 2~3 years work experience in an Analytics, Statistics, Data Mining or Marketing Analytics function is a plus
46

Analyst, Structured Load Analytics Resume Examples & Samples

  • Thorough understanding of load and modeling constituents, including weather and transform functions
  • Statistical analysis to construct performance metrics (MAD, MAPE, etc)
  • Moderate to advanced programming skills (SQL, scripting / object-oriented coding including Python, Matlab, R, SAS, VBA)
  • Comprehension of deregulated power markets, portfolio management and optimization, energy supply stack, customer profiling
  • Thorough comprehension of load, including ISO-level, regional-, zonal-, congestion-level, customer profiles, C&I and mass customers
  • Conduct original research and publish and/or present work in leading energy publications/ conferences
  • Provide valuable insights to marketing to advance cross selling initiatives such as providing solar to retail customers and vice-versa
47

Analytics Analyst Resume Examples & Samples

  • Design and develop analysis and reporting solutions that utilize MS SQL Server technologies including SSIS, SSRS, SSAS, and dimensional modeling principles to ensure data quality, performance, and scalability
  • Develop robust and flexible analysis and reporting tools that provide business management with accurate and timely monitoring of productivity and awareness of improvement opportunities
  • Work with documented business requirements to design, code, test, and deploy solutions that meet or exceed business expectations as per SDLC
  • Participate in the software development process to ensure that all solutions meet requirements related to design consistency, performance, maintainability and stability
  • Collaborate with developers, business analysts, lead designers and project managers as needed to meet project deadlines and customer expectations
  • Provide guidance and education to development teams regarding T-SQL best practices and design patterns for analytics solutions
  • Define, document, and promote best practices for dimensional modeling, report design and data visualization
  • Produce and maintain support documentation for ongoing operations
  • Troubleshoot and resolve technical issues
  • University degree in Computer Science, Math, Engineering, or equivalent
  • Minimum 1 to 2 years of experience with relational databases (SQL Server, MySQL, etc.) and the development and optimization of Stored Procedures for efficient processing large volumes of data
  • Experience using Microsoft SQL SSAS or equivalent technologies to develop and maintain dimensional models for efficient analysis and reporting
  • Familiarity and practical experience with Dimensional Data Warehouse principles and practices
  • Proven experience defining and managing UAT/BAT
  • Strong analytical, problem solving, and process improvement skills with a passion for quality
  • Proven ability to break down high-level business requirements into more detail by questioning and probing for clarification
  • Highly motivated individual who is able to learn quickly and execute independently
  • Good verbal and written communications skills with experience in relating complex concepts to non-technical users
  • Independent work ethics to bring task to completion and a proven ability to work collaboratively within a cross-functional team environment
48

Advanced Analytics Analyst Senior Resume Examples & Samples

  • Provides analytical insights to support business solution development based on quality, use, cost and other key drivers
  • Develops and refines analysis templates for problem diagnosis and opportunities assessment
  • Contributes to the design of new program/initiative based on test/pilot outcomes
  • Develops targeting criteria or customer segmentation based on analytical insights, clinical inputs, product design and operations considerations
  • Develops predictive models and other tools that help target the right members
  • Develops methodology to measure clinical, utilization and financial outcomes of a program/initiative
  • Conducts in-depth research to address challenging issues in measuring outcomes
  • Addresses limitation of certain data sources and evaluates incremental value of new data sources
49

Predictive Analytics Analyst Resume Examples & Samples

  • Research new machine learning algorithm used for HR predictive analytics such as turnover, quality of hire, job performance and employee engagement
  • Use data visualization software like Tableau to make analytics more visual and easy to understand
  • Gather data both from internal and external sources
  • Benchmark HR predictive analytics in the other companies or vendors
  • Develop predictive analytics technology roadmap based on the research of new algorithm, software and statistical methodology
  • Follow up business actions and monitor effectiveness of the predictive models
  • Software experience in R, Python, SPSS, Tableau, Alteryx or any other predictive analytics applications
50

Adobe Analytics Analyst Resume Examples & Samples

  • Become fully knowledgeable about the Elsevier SiteCatalyst Global Architecture, and be a force of proposition on how it should evolve over time
  • Work closely with the multiple platform tech teams to prioritise analytics requirements for development sprints and own the end-to-end fix journey of identified analytics defects
  • Ensure consistent, efficient and robust implementation of analytics tracking across Elsevier Research Product platforms
  • Create applicable calculated metrics and Adobe Analytics reports
  • Continually optimise analytics tagging and reports
  • Assist QA with test plan development and users with troubleshooting
  • Establish continuous auditing by leveraging automated tools (inc. ObservePoint) to maintain analytics quality and identify in (near) real-time any defects – owning the end-to-end fix journey
  • Follow and help to create data collection standardisation and governance processes
  • Ensure analytics increasingly empowers the platform product teams and platform analysts
  • Advise the platform analysts on queries they receive from end-users (product teams) related to tracking and campaign measurement
  • Adobe Analytics set-up principles and e-commerce tracking best practices
  • Best practice in digital analytics for all platforms: web, native apps and single page applications
  • Experience with design, implementation and debugging of web analytics solutions within a container tag solution
  • Ability to write cross-browser JavaScript snippets to capture data from HTML and to trigger custom in-page events
  • Subject matter expertise in analytics and digital marketing measurement
  • Proactive and ‘can-do’ attitude
  • Ability to deliver projects in parallel by effective prioritisation
  • Excellent problem-solving, communication and analytical skills
  • Good networking and social skills
  • Ability to thrive in a fast moving environment
51

Senior Programmatic Analytics Analyst Resume Examples & Samples

  • Perform hands-on analyses on large volumes of campaign level data
  • Develop highly complex data extracts using SQL and ensure requirements are developed in accordance with specified business and technical requirements
  • Maintain relationships and develop a strong working knowledge of all the business functional area‘s objectives in order to ensure accurate translation of client requirements into technical specifications and reporting
  • Support in delivering reports and analyses such as: advertising performance analysis, multi-touch attribution analysis and cross-channel analysis
  • Apply analytical techniques to one or more disciplines. May perform statistical analyses and create accurate charts, tables and graphs in the correct format and within established time frames as required. Select and use appropriate software to effectively analyze data. Compile and analyze information
  • Effectively communicate findings and recommendations to appropriate staff
  • Maintain Programmatic reporting dashboard
  • 5 years’ work related experience within a business intelligence team with relational decision-support databases required. Analytical consulting experience is highly preferred
  • Experience managing and maintaining existing Excel based analytics and transition to SAS or other Business Intelligence Platforms is required
  • Demonstrated computing and database reporting skills
  • Minimum 3-5 years’ of programming experience with statistical and database software, i.e. SQL Server, SAS and Business Objects is required
  • Demonstrated knowledge of Microsoft Access and Excel functionality to include the use of macros to streamline report-publishing process
  • Competitive monitoring tools, i.e. ComScore, Compete, Pathmatics, etc is preferred
  • Demonstrated experience in a decision-support and data warehousing environment
  • Demonstrated project management experience in organizing, planning and executing large-scale projects
  • Demonstrated knowledge of hotel operations and the hotel industry, and demonstrated ability to access relevant information and understand the competitive market
  • Demonstrated knowledge of Google DoubleClick, Visual IQ, Adobe and Omniture is preferred
52

Branch Analytics Analyst Resume Examples & Samples

  • Exhibit thought leadership and demonstrate analytical thinking to drive insights from data
  • Quickly assesses the big picture in complex situations and identify what is critical
  • Routinely make decisions for best course of action and to drive business solutions
  • Support internal and external processes and workflows, suggest improvements based on data analysis and provide insights into the enterprise operations
  • Work with business domain experts to identify data relevant for analysis
  • Extract reports/ data, analyze and provide recommendations for the project undertaken
  • Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements
  • The candidate should have 8+ years of relevant experience in Operations Research and Analytics
  • Bachelor’s degree or equivalent in Statistics, modeling or data Analytics
  • Strong Retail Banking is a must
  • Experience working with the US Retail market is a plus
  • Experience of working with International Partners in an Offshore and Onshore model is a plus
  • Strong understanding of data mining models, structures, theories, principles, and practices, including machine learning, statistics and text mining techniques
  • Hands-on experience on statistical and modeling tools such as SAS, R, Python and SQL
  • Strong familiarity and experience with statistics, modeling, segmentation, optimization, forecasting, demand mitigation is a must
  • Should have strong understanding of Queuing theory
  • Experience of visualization tools like Tableau is good to have
53

Analytics Analyst Resume Examples & Samples

  • Conducting data sourcing, discovery and analytics using ETL (Extract, Transform & Load) and business intelligence tools
  • Carrying out hands on analytics and applications of both data science and data modelling techniques to provide transformative proposals for business process improvement
  • Organising data logically to propose process optimisation solutions
  • Carrying out Issue identification and analysis techniques, such as pattern analysis and root cause analysis, to help identify why issues occur and propose solutions
54

Insights & Analytics Analyst Resume Examples & Samples

  • Translate data, editorial trends & branded learnings into actionable insights for multiple key internal & external stakeholders
  • Strong ability to analyze and translate these data-based findings into clear, relevant insights and express those insights with passion and brevity, both visually and verbally
  • Ability to tell a story across verticals, products & platforms
  • Responsible for generating program-level analysis and deriving impactful learnings
  • Build reports for BuzzFeed's sponsored content programs
  • Actively collaborate with multiple internal teams on strategic research projects
  • Identifying gaps in processes and devising qualitative and/or quantitative solutions to address them
  • Comfort and experience in handling and manipulating large datasets
  • Become an expert on social media measurement and shareable content
  • Develop deep understanding of specific client vertical; Ability to create actionable insights from data to fulfill specific client requests (pre-sale to post-sale)
  • Familiarity in syndicated research platforms, audience measurement tools and general industry data sources such as comScore, Google Analytics, eMarketer, etc
  • Strong analytical capabilities with demonstrated ability to effectively synthesize findings from multiple sources
  • Advanced knowledge of Excel is preferred. Intermediate-advanced Keynote skills is a must
  • Outstanding communication skills; ability to work with internal teams and leadership as well as directly with clients to manage projects
  • Proven ability to manage and prioritize multiple projects in a fast-paced environment
  • A strong understanding of, and enthusiasm for, the social media landscape
  • An obsession with attention to detail and excellent oral, written and client presentation skills
  • Bachelor's degree, preferably in marketing, statistics, or other related field
  • 1-2 years experience in digital research preferred, although other related fields are encouraged to apply
55

Applied Analytics Analyst Resume Examples & Samples

  • Degree in (Statistics, Decisions Sciences, Computer Science, Economics etc..) preferred
  • Experience in database analytics required
  • Strong technical, analytical skill set in one of the following ( SAS, SQL, Python, etc..)
  • Preferred: Predictive Modeling Experience
  • Proven ability to sift through data, identify critical information, analyze, develop hypothesis and make recommendations to broader audience required
  • Demonstrated understanding of the principles of experiment design & analysis
56

Analytics Analyst Resume Examples & Samples

  • Knowledge of statistical modelling, programming, systems analysis and design skills relating to relevant tools and systems (SAS, R, Office)
  • Knowledge of Analytics & Modeling products, geomarketing and data sources
  • Demonstrated ability to make sound decisions and resolve problems
  • Undertake specific modelling projects for clients including translating client requirements into project specification, model execution, resolving data, technical and analytical issues, interpreting output and preparing client presentation
  • Provide required explanation internally to ensure effective use of output liaising with Account manager
  • Utilise the necessary hardware and software systems required to produce econometric models
  • Translate model results into client deliverables and present back to internal team
  • Attend presentations and contribute to delivery
  • Communicate with internal team and client for obtaining information
  • Manage own projects
  • Key Functional Skills/Competencies
  • Basic understanding of Market Research
  • Solid understanding of modelling techniques and applications
  • Basic proficiency in results interpretation
  • Basic understanding of decision making and problem resolution skills
  • Fluency in English and in local language
  • NPD Individual Contributor Skills/Competencies
  • Execution Excellence
57

Business Analytics Analyst Resume Examples & Samples

  • Provides business analytics support for Local and Regional leadership
  • Ensure Business Analytics strategy for the country is fully aligned with Regional and Global principles, guidelines and definitions
  • Ensure metrics reported are consistent and meet changing business needs
  • Responds to report requests from Regional and Global Management
  • Design and implement new standard metrics to measure the performance of the salesforce and market effectiveness
  • A Bachelor's Degree; preferably in Information Technology, Business Administration
  • Pharmaceutical/Biotechnology commercial experience
58

Workforce Analytics Analyst Resume Examples & Samples

  • Pull, consolidate, reconcile, organize, track and present big data in a clear, concise matter
  • Assist with the development of strategic business cases for US and Canadian workforce by gathering information from dispersed systems and published communications
  • Extract, analyze and maintain the integrity of data fields in Oracle HCM used for workforce reporting
  • Publish weekly, monthly and semi-annual reports
  • Maintain and refresh SS&OP dashboard
  • Serve as SharePoint Admin for WRA site
  • Provide operational administration, reporting and hypothesis testing
  • Test hypothesis and summarize findings with suggested next steps in presentation format for internal and external HR customers
  • Document WRA SOP’s using process maps to drive accuracy of new processes
  • Fully understand “as-is” HR business processes, technologies and stakeholders in order to become a subject matter expert on ADTs US and Canadian workforce
  • Work with minimal supervision; ability to handle multiple, critical assignments concurrently if required
  • Perform ad hoc duties as assigned with timely completion
  • Draw connection to the big picture and/or underlying business objective for each data request
  • Communicate effectively with clients internal and external to HR – exemplifying a customer obsessed attitude
  • Develop a trusted advisor relationship with team and customers through clear and concise communication, high quality of work, timely execution of projects
  • Proactively identify deliverables in order to meet established deadlines and manage to expectations
  • Ensure end customer satisfaction through addressing the underlying ask, accuracy of information presented, quality delivered and timeliness of completion
  • 2+ years of experience in a business analytics function, human resources, finance, industry research, management consulting, and/or strategic planning
59

Client Analytics Analyst Resume Examples & Samples

  • Lead discovery sessions with key stakeholders to understand strategic program goals, and then align Lash’s data and analytical services to support those goals
  • Oversee the delivery of actionable, data-driven insights and recommendations to aid in the decision-making process, applying data visualization best practices to effectively tailor the message to the various target audiences
  • Communicate program status with key stakeholders and escalate issues or opportunities
  • Use their business and analytics knowledge to explore improvement opportunities with clients, and propose innovative ways to deliver results
  • Client Analytics Strategy
  • Ability to create new or leverage existing analysis models and apply them to aligned program using industry knowledge
  • Requires experience in querying and structuring relational databases using SQL, with 5 or more years of experience
  • Completion of a four year Bachelors’ degree program, preferably with an emphasis in mathematics, statistics, or data and analytics
  • Advanced analytics experience including advanced modeling techniques desirable
  • Requires expertise in business intelligence platforms such as Qlik, Tableau or like platforms, with 5 or more years of experience
  • Must have high-level knowledge of Excel, Word, and Power Point
  • Strong verbal and written communication with the ability to communicate within teams
  • Planning and organizational skills with a solid attention to detail
60

Analytics Analyst Contractor Resume Examples & Samples

  • Work closely with the Analytics Lead and other key stakeholders in order to support the definition and implementation of the analytics approach for the Helios programme
  • Demonstrate capability to build strong relationships with key stakeholders and understand business needs and requirements
  • Support the continuous improvement and utilisation of existing tools and various data sources to provide on-going, regular reporting tailored to various stakeholders’ needs
  • Support the development of new processes, methodologies and frameworks designed to better employ existing data and increase analytical efficiencies
  • Verify data accuracy and consistency across various sources and channels
  • Collaborate with various stakeholders to ensure analytics tools and methodologies are shared and standardised across markets and projects
  • Support the development of clear, understandable and actionable insights and key learnings that can be used to support the continuous improvement of the customer journey
  • Support the creation and maintenance of reporting dashboard to enable measurement and optimisation of key global and market initiatives
  • Experience with web analytics tools (Adobe Analytics preferred)
  • Understanding and/or experience using Tag Management system or customised tracking systems
  • Experienced in web analytics, reporting (junior to mid-level)
  • Automotive industry experience background preferred
61

Business Analytics Analyst Resume Examples & Samples

  • Working with key stakeholders and external partners, analyze, develop and recommend business and technical solutions, in support of business goals
  • Lead requirements facilitation through strong leadership, analytical and problem-solving skills
  • Ensure timely notification and escalation of possible issues/problems, options and recommendations for prompt resolution
  • Minimum 3 years of experience working in the banking or closely related industry in a Data Management or Analytical role
  • Interpersonal and relationship management skills with a focus on negotiation and collaboration
  • Proven record of professional interactions with managers, consultants and regulatory bodies
  • Ability to influence and get things done without direct authority
  • Excellent written and verbal communication with the ability to present ideas and facilitate discussions to build consensus
  • Strategic thinking & organizational skills
  • A strong attention to detail and the ability to consider how work underway impacts other areas/projects
  • Ability to thrive in a face paced, dynamic, detail oriented environment. High tolerance for the pressure of constant change and stringent timelines
  • Demonstrated ability to multitask and deliver on multiple projects
  • Experience with Balanced Scorecards is an asset
  • Familiarity with Microsoft SQL Server suite of tools an asset
  • Proficiency in T-SQL querying is preferred
62

Workforce Analytics Analyst Resume Examples & Samples

  • Work closely and interact with business HR team conducting analytics and supporting analysis, interpretation of HR workforce planning as well as monitoring on follow up and implementation
  • Identify significant metrics and/or indicators to monitor organizational health and performance of strategic/workforce plans in alignment with business strategy
  • Deliver an articulated set of reports and analysis of overall HR performance to respond to requests of information, internal and external to the HR function
  • Provide thought leadership on predictive analytics tools, algorithms and visualization techniques
  • Manage and mine Succession Planning tools in support of new talent pipeline process and provide system support and training for end-users
  • Share and discuss information within HR function and support the sharing of HR reporting processes and capabilities outside the function
  • Shape business scenarios and potential solutions through analysis, interpretation, predictive analytics and forecasting of the information gathered and developed
  • Exercises discretion in matters of confidentiality
  • Protects the corporation and assures 3M values and policies are upheld and complied to, as well as that 3M processes are implemented as appropriate. Ensures compliance with 3M Business Conduct Policies and other policies, and teaches and acts as an example of uncompromising ethics. Ensures local legislation is complied with at all times
  • Minimum of three (3) years experience working with pivot tables and/or V-lookups in Excel
  • Bachelor's degree or higher from an accredited university in Finance or Human Resources
  • MBA or MAIR (Masters in Industrial Relations) from an accredited university preferred
  • Minimum of 3 years experience working with financial and/or human resources data
  • Advanced user in Microsoft Excel, Access and PowerPoint
  • Working knowledge of Workday or other HR ERP systems
  • Strong analytical, problem solving skills and statistical knowledge - ability to analyze complex and diverse issues where the solution is not immediately apparent
  • Detail orientation, systems and critical thinking, experience manipulating large datasets
  • Also required are administrative, organizational, project management, communication, influencing, problem solving, and advanced leadership skills
63

Senior Analytics Analyst Resume Examples & Samples

  • Design & Implement the Data Analytics Strategy
  • Requires experience in querying and structuring relational databases using SQL, with at least 7 years of experience
  • Requires expertise in business intelligence platforms such as Qlik, Tableau or like platforms, with at least 7 years of experience
  • Requires extensive training and knowledge of data visualization best practices
  • Demonstrates strong interpersonal and partnership skills
  • Strong time management skills and multi-tasking abilities. Ability to prioritize, organize and plan work
  • Ability to integrate and analyze multiple sources of data
  • Ability to effectively analyze and interpret business level data
  • He or she should possess the sound organizational and planning skills with a solid an attention to detail
64

Analyst, Speech Analytics Resume Examples & Samples

  • Create searches and reports designed for automated analysis and topic identification in recorded conversations from a call center environment
  • Make recommendations and define data strategies the solve critical business problems
  • Compile information through multiple sources, understand key performance indicators and spot trends and patterns
  • Accurate delivery of comprehensive analysis and reports
  • Package and deliver key findings and briefings providing detailed and summarized analysis along with recommendations for strategic decision-making
  • Craft documentation including process maps, diagrams, manuals, charters and scopes
  • Collaborate and communicate effectively with internal Program Manager, as well as business partners and stakeholders
  • 3 to 5 years in an analytical or reporting capacity with solid exposure to BA/PM techniques
  • BA or BS in business or technical field preferred
  • Experience in preparing written project status reports and executive briefing
  • Experience ins speech analytics/speech recognition preferred
  • Good public speaking and presentation skills
  • Ability to pay attention to details and be organized
  • Commitment to “internal client” and customer service principles
  • Willingness to take initiative and to follow through on projects
  • Spelling, grammar, proofreading and editing skills
  • Creative writing ability
  • Strong interest in current events and pop culture, as related to assigned channels / programs
  • Comfortable working with talent, artists and high profile individuals
  • Proficient in Microsoft Suite, especially Excel; pivot tables, V-lookups, formulas and importing data
65

Advanced Analytics Analyst Senior Resume Examples & Samples

  • Graduate-level degree with concentration in a quantitative discipline such as Mathematics, Statistics, Economics, Epidemiology, Engineering, Computer Science or Operations Research required; PhD preferred
  • 3-5 years’ experience in related health care analytics; or any combination of education and experience, which would provide an equivalent background
  • Substantial analytical experience in healthcare industry
  • 3-5 years direct experience programming large, multi-source datasets with SAS or SQL required. Tableau preferred
  • Experience with relational databases, knowledge of query tools and statistical software required
  • Experience with health insurance fraud waste and abuse is preferred
66

Metrics & Analytics Analyst Resume Examples & Samples

  • Assist with compiling operational metrics that relate to all functional groups throughout GCO & GRDO
  • Assist with the creation of new metrics as well as operational analysis required within this dynamic business environment
  • Ability to think “out of the box”; provide input and suggestions on ways to improve reporting process; where possible, streamline (automate) reporting to make it a more robust, efficient and effective process
  • Field queries from submitting units to find practical/workable results; including providing recommendations and solutions to meet MIS needs
  • Assist in documenting business/functional requirements for CARMA (automated reporting), as well assist in user acceptance testing
  • Build strong raport with Senior Managers/Leaders across CAO Operations
  • BA/BS degree or 1-2 years of relevant work experience in the analytical and metric reporting environment
  • Advanced Skills in Microsoft Office Suite (Excel, Access, PowerPoint)
67

Valuation Control & Analytics Analyst Resume Examples & Samples

  • Work with a team of 2 Valuation Controllers based in Hong Kong to perform and analyze price testing results and fair value adjustments for Asia Pacific, Japan and Australia Credit Trading businesses
  • Perform Fair Value Classification, Level 3 Roll-Forward analysis, and other controls such as Multiple Price Per Instrument and Multiple Fair Value Per CUSIP review in accordance with the Fair Value reporting control framework
  • Ensure APAC valuation policy and reporting requirements are consistent with the other regions
  • Assists in compilation of monthly regional Price Verification reports for Credit Trading business
  • Handle regular and ad-hoc requests from global teams, regulatory reviews, e.g. Prudent Valuation Reporting. Perform valuation control processes across derivative markets businesses in Asia Pacific, including Price-Testing and Valuation Adjustment calculations, analysis and reporting
  • Address valuation issues across a wide range of derivative products (vanilla and complex products such as structured notes with embedded derivatives)
  • Design and implement valuation adjustments and price testing methodologies, with particular attention to the design of controls
  • Participate in global Valuation Control & Analytics forums and work with the VC&A teams across regions to ensure Citi-wide valuation consistency
  • Undergraduate degree in Finance, Financial Engineering or Accounting
  • Postgraduate degree in economics, finance, mathematics, sciences, or other engineering disciplines preferable
  • At least six years’ experience expertise in a Valuation, Risk or Product Control related function with specific exposure to Credit or Equities products
  • Knowledge of modern derivative pricing methodologies and hedging practices
  • Highly computer literate, with excellent knowledge of Excel and Access (VBA/SQL ideal but not required)
  • Ability to interpret and analyze large volumes and at times complex information
  • Strong verbal and written communication skills with the ability to discuss and explain pricing concepts, defend viewpoint, and create common understanding
  • A proven track-record of working in teams
68

Digital Market Analytics Analyst Resume Examples & Samples

  • Analyze website data on traffic sources and patterns. Provide insight on data trends and anomalies, making recommendations where appropriate to improve business performance
  • Create, manage and distribute data and insights via regular and ad-hoc reporting utilizing online analytic tools (Adobe Analytics, Discover, Data Warehouse and ReportBuilder)
  • Provide operational administration of our web analytics platform based on Adobe Analytics
  • May contribute to the maintenance of page tagging standards
  • Bachelor’s degree required; Marketing, computer science or a related field preferred
  • 1 to 2 years of web analytics experience preferred
  • Working knowledge of Microsoft Office software applications Word, Access, Excel, PowerPoint
  • Experience and understanding of analytic reporting tools (Adobe Analytics, Google Analytics)
  • Experience with Tag Management Systems (Tealium, Ensighten, Google Tag Manager)
  • Basic knowledge of HTML, JavaScript and CSS
  • Ability to work closely within a team structure and prioritize and manage time effectively
  • Strong communication skills and a sense of humor
69

Google Analytics Analyst RRP Resume Examples & Samples

  • Use Google Tag Manger to implement an appropriate tagging structure on to our owned digital assets
  • Ensure Google Tag Manager is configured to meet the needs of the Digital marketing team
  • Help develop a Digital Measurement Framework for owned assets
  • Utilize Google Analytics to run analytics on our iQOS owned channels
  • Create standardized reports in Google Analytics to support our marketing & sales teams (both here in Lausanne and elsewhere)
  • Provide ad-hoc analysis, findings and recommendations to support our marketing & sales teams
  • Use data to drive positive outcomes, especially conversion optimisation to enhance the effectiveness of campaigns and digital touchpoints
  • Train marketing and other colleagues on how to use Google Analytics
  • Inspire colleagues to adopt measurement best practices and an analytics driven approach
  • Reduced Risk Products (“RRPs”) is the term we use to refer to products with the potential to reduce individual risk and population harm in comparison to smoking combustible cigarettes. PMI’s RRPs are in various stages of development, and we are conducting extensive and rigorous scientific studies to determine whether we can support claims for such products of reduced exposure to harmful and potentially harmful constituents in smoke, and ultimately claims of reduced disease risk, when compared to smoking combustible cigarettes. Before making any such claims, we will rigorously evaluate the full set of data from the relevant scientific studies to determine whether they substantiate reduced exposure or risk. Any such claims may also be subject to government review and approval, as is the case in the USA today
70

Valuation Control & Analytics Analyst Resume Examples & Samples

  • Perform and analyze price testing results and fair value adjustments for North America Equities Trading businesses
  • Produce and implement guidelines / procedures for valuation adjustments and price testing across the business, with particular attention to the design of control
  • Identify pricing issues, valuation parameters or instrument types that may require particular attention with critical analysis of the valuation issues involved
  • Assist in compilation of monthly regional Price Verification reports for Equities Trading business
  • Strong leadership and accountability for Equities Valuations
71

Valuation Control & Analytics Analyst Resume Examples & Samples

  • Perform and analyze price testing results and fair value adjustments for North America Hybrids Trading businesses
  • Assist in compilation of monthly regional Price Verification reports for Hybrids Trading business
  • Strong leadership and accountability for Hybrids Valuations
72

Client Analytics Analyst Resume Examples & Samples

  • Have the ability to understand and analyze new data
  • Have an ability to get the new data ready (massage, clean and model) for use for the purpose of analysis and discovery
  • Have an ability to model existing data in new ways for the purpose of analysis and discovery
  • Have an ability to connect different data sets for the purpose of discovery and analysis
  • Be a subject matter expert in Data and Analytics related to Distribution
  • Builds a data and analytics infrastructure using latest data technologies like SAS, Hadoop etc
  • Build knowledge on existing and new data sets (external and internal)
  • Build the data foundation by bringing data together in the sandbox environment and modeling it as desired by the Strategic Initiatives
  • Supports the SBCs by providing the Data and Analytics capabilities
  • Contribute (under Client Analytics Architect) on all data projects within the USAS Reporting and Analytics space
  • Liaison with FTT, GPS and other Business units for all key data initiatives
  • Works with the Business team and FTT to shape solutions within the USAS space to address ongoing business needs
  • Partners with the USAS business stakeholders to define the business cases regarding the data and analytics needs
  • Interface and coordinate with FTT, GPS and other Business Units to develop overall implementation solution plan, and serve as a business representative (under Clint Analytics Architect) as required, for key data projects
  • Contributes to the definition of project objectives and success criteria (along with key business stakeholders)
  • Integral part of all phases in key USAS data and analytics projects
  • Oversee aspects of project life cycle, from initial kickoff through requirements analysis, design and implementation phases for projects within the business solution area
  • Provides input to technical solution design activities and support FTT in translating system requirements into technology solution
  • Accountable to represent the needs of the Business and is responsible for the definition of business data, data relationships, priorities, and risks
  • Contributes to the creation of Client Analytics Architecture document and associated diagrams, which describe these data relationships at a level higher than the requirements or data dictionary level
  • Is the liaison between the Business Unit Leaders/SMEs and the Business Project Manager/business analysts for definition of the business data relationships that are in scope for SARA
  • Approve the SRA (requirements) and SDS (high level design) from a Client Analytics Architecture perspective
  • Represent USAS for Data Governance initiatives
  • Requires a Post Graduate (Master’s) degree or equivalent training
  • Over 7 years’ experience in creating business solutions though large data projects in the Sales space
  • Have a deep understanding of processes, drivers and success factors in Sales & Marketing in the financial services space
  • Experienced in both transactional and analytical technologies involving CRM, Web applications, Data Warehousing & Business Intelligence technologies
  • Should have demonstrated ability to engage in senior level business decision maker discussions related to business value and return on investment whilst being able to dive into data architecture, design and operations is a core requirement
  • Should have both broad and deep data knowledge and the ability to architect solutions by mapping common customer business needs to end-to-end data and analytics solutions
  • Should have experience in data projects through the Software development process or Systems Development Life Cycle (SDLC), and should have performed in a variety of different roles in that life cycle
  • Should have an in depth understanding of business data, data relationships, priorities, and risks
  • Should be able to share and communicate ideas clearly, both orally and in writing, to executive staff, business sponsors, and technical resources in clear concise language
  • Should have the ability to perform multiple tasks in a fast-paced, team environment
73

Analyst, Multicultural Analytics Resume Examples & Samples

  • Develop solutions to address brand's strategic needs, i.e. in-depth understanding of best prospect identification, channel allocation, ROI of past efforts, optimal budget setting, campaign flighting optimization, campaign performance metric setting, etc
  • Support and guide implementation of research into agency planning process to enhance the overall product and ground it in data-driven solutions
  • Develop agency guidelines for optimal use/application of sources and tools, both traditional and online sources and approaches to be used by clients
  • Ensure proper utilization and interpretation of media research information across
  • Seek opportunities to enhance the agency’s ability to understand and implement new insights through original research and analytical approaches
  • Manage one or more analysts to complete various levels of work and provide strategic oversight of projects
  • Attend industry research-related conferences and functions
  • BS/BS or MA/MS (concentration in marketing and/or communications helpful)
  • 0-2 years of experience (media/marketing research, communications planning)
  • Excellent analytical skills - advanced statistics a plus
  • Possession of excellent written, oral communication and presentation skills
  • Ability to translate information and data into insights
  • Visionary; Proactive
  • Good listening and follow-up skills
  • Experience managing direct reports a plus
  • Proficiency in media research resource such as consumer studies (GFK MRI, Simmons, Scarborough,) comScore (Mobile Metrix, Plan Metrix, Media Metrix,) Nielsen Online (Ad Relevance,) Ad Effectiveness studies (Dynamic Logic, Vizu,) Kantar Stradegy, is desirable, but not required
  • Proficiency in SPSS is also desirable, but not required
74

Econonomics Performance Analytics Analyst Resume Examples & Samples

  • Prepare insightful and transparent risk and capital communication for senior management, board, internal and external parties, to facilitate engaged dialogue and decision-making
  • Assist in enrollment, education and implementation of ERRM principles, standards and processes within the organization, and enrolling external parties in the company’s ERRM practices and capabilities
  • Develop and support effective projects and presentations for small groups
  • Between 0-1 years of financial analysis or modeling experience in an Insurance or Financial Services organization
  • Basic business knowledge (i.e.; insurance industry, Allstate, Enterprise Risk)
  • Working knowledge of financial statement analysis, accounting concepts, and financial models
  • Strong ability to work across boundaries and collaborate with individuals from other areas of the organization
  • Sound time management and organization skills, with the ability to adapt to the changing needs of the business
  • Moderate comfort level with presenting key deliverables to members in leadership positions
  • Intellectual curiosity and drive for continuous improvement - personally and with work assignments
  • Advanced PC application skills (e.g., Microsoft Excel, PowerPoint); Working knowledge of programming(e.g., VBA, R, SAS) and/or database(SQL, Access) management preferred
75

Derivative Analytics Analyst Resume Examples & Samples

  • Work closely within Portfolio Services and investment personnel to develop sound workflows and validations of OTC derivative data and valuations
  • Execute daily valuation procedures to generate end of day prices for OTC Derivatives
  • Execute daily validation procedures ensuring the integrity and consistency of various market data inputs, including yield curves, credit curves, and implied volatilities
  • Identify, own, and resolve issues identified through analysis of exceptions
  • Interact with Trading to resolve pricing model and market data issues
  • Review results of reconciliation of OTC derivative valuations vs counterparty valuations to understand differences and to support collateral dispute function
  • Provide timely, accurate, and thorough support of internal and external clients’ OTC valuation related inquiries
  • College degree and three to five years of industry experience with progress toward a CFA or other quantitative finance program preferred
  • Strong understanding of swaps, options and other OTC derivatives - 2 years experience specifically related to derivatives and derivative curve structures
  • Familiarity with standard valuation models and sources of data for a range of OTC derivatives
  • Exhibits a proactive nature and approach to learning, problem identification, and resolution. Desire to succeed and the ability to self-motivate
  • Team focused with ability to learn from and share knowledge with other analysts
  • Strong organizational, prioritization, and multi-tasking skills
  • Ability to think and act independently and thrive in a fast-pace work environment
  • Thoroughness, attention to detail, and strong problem solving skills
  • Good written, oral, and interpersonal skills
76

IT Call Analytics Analyst Resume Examples & Samples

  • Applications Support Management
  • Undergraduate degree or combination of education and experience
  • 2+ years of experience with application or infrastructure support
  • 2+ years of experience working with Call Center Technologies
  • 2+ years of experience doing call recording analytics
  • Experience with NICE analytics experience on NIM 4.1 or the Engage platform or another analytic platform
  • Strong technical, analytical, and problem solving skills
  • Knowledge of ITIL (Information Technology Infrastructure Library) Standard
77

Specialize Analytics Analyst Resume Examples & Samples

  • Proactively seek out best practices and adopt the same in day to day functioning
  • 2-5 Years exposure to Financial Services
  • Candidate should have worked in any of the following domain:Credit Cards
78

Analytics Analyst Resume Examples & Samples

  • Provide regular and Ad-hoc reports both within Life and Retirement and for field partners
  • Understand simple mathematical/statistical principles such as not averaging averages, etc
  • Advanced knowledge of Pivot Tables including the ability to create new pivot tables and troubleshoot existing tables. Including creating/maintaining calculated formulas within a pivot table
  • Intermediate Microsoft Office: Intermediate knowledge of Access, PowerPoint, and SharePoint preferred
79

Analyst, Speech Analytics Resume Examples & Samples

  • Make recommendations and define data strategies that solve critical business problems
  • Compile information through multiple sources, understand key performance indicators and spot trends and patterns. Make recommendations and define data strategies that solve critical business problems
  • 1 to 3 years of experience in an analytical or reporting capacity
  • Experience in speech analytics/speech recognition preferred
  • Commitment to internal client and customer service principles
  • SQL Preferred
80

Senior Analyst, Ops Analytics Resume Examples & Samples

  • Collect, explore, evaluate and transform data from databases, flat files, spreadsheets, and other data sources
  • Conduct ad hoc analyses using analytical best practices on clinical data, ensure HIPAA compliance, and prepare various styles of reports and visualizations required by internal and external customers
  • Ability to translate complex analytical and data related concepts into a simplified consumable manner
  • Ability to understand database architecture and design principles. Understands cardinality and entity relationships. Demonstrates basic knowledge of database design principles and data administration standards
  • Can quickly interpret and adapt to logical data models using both relational and dimensional modeling techniques
  • Design advanced reports from queried data using SQL, SSRS, Excel, PowerPoint
  • Ability to write SQL queries and build SSRS reports
  • Able to define methodology and analytics approach as required for each specific data analysis project and document all assumptions
  • Solid understanding of basic statistical principles including hypothesis testing and regression
  • Applies knowledge and skills to a wide range of standard and non-standard situations and uses creativity to solve problems and improve processes
  • Works independently with minimal guidance
  • Aligns work priorities with organizational goals, sets customer expectations on scope and deliverable schedules
  • Bachelor's (BS) in Computer Science, Business or related field preferred or equivalent work experience, advanced degree preferred
  • Minimum 3 years of experience required
  • Strong math, statistics, and data mining backgrounds, experience with predictive analytics a plus
  • Strong analytical, problem solving, organizational, and planning skills
  • Proficient PC skills; including working knowledge of Microsoft Office products, SQL Server
  • Proven database experience with the ability to write ad-hoc queries and test accuracy of results
  • LI-JS1
81

Advanced Analytics Analyst Resume Examples & Samples

  • Solve complex challenges involving data modeling, scenario creation, risk analysis, data mining/validation, and development of business rules to guide technology development
  • Ability to document requirements, designs and detailed technical specifications, training materials, operating instructions, and test plans to support development of predictive analytic solutions
  • Partner with business & technical experts to identify analytic opportunities and define requirements
  • Data modeling skills and competency
  • Demonstrated knowledge of linkage between data and process
  • Incorporate technology capabilities into design development
  • Bachelor's or Master's degree from an accredited college or university
  • 2 years of professional experience OR Master's with analytics experience
  • Experience with scoping problems
  • Experience with designing / writing functionality requirements
  • Preferred degrees in Mathematics/Analytics, Finance, Engineering, with MBA
  • Experience incorporating technology capabilities into design development
  • Effective problem-solving skills demonstrated through related work experience
  • Deep knowledge of linkage between data and process
  • Strong organizational, analytical and problem solving skills
  • Aerospace cross-solution knowledge (supply chain, finance/accounts, HR, etc.)
  • A thorough understanding of how to interpret requirements and translate them into system capabilities
82

Market Risk Analytics Analyst Resume Examples & Samples

  • Research, development and enhancement of market risk models and methodologies
  • Apply stochastic and econometric techniques to support methodology development and validation. Perform back-tests, stress tests, scenario analyses and sensitivity studies
  • Oversee implementation of model changes in IT production environment
  • Incorporate Front-Office changes in Interest Rates, Credit, Equity, Foreign exchange, Securitizations and Counterparty valuation pricing systems into market risk models. This involves liaising with Front-Office Desk Strategists, Risk managers and IT for integration of new products and risks into official and internal risk numbers
  • Oversee daily production of all market risk models. This involves diagnosing and fixing production issues that are critical to producing Firm’s daily market risk numbers. Automation of production processes to reduce operational risk
  • Ongoing updates and calibrations of market risk models and methodologies to reflect the current market conditions including overseeing the weekly benchmarks update process to reflect the latest market data
  • Participate in Regulatory and validation exams by providing documentation and responses to regulators and internal validators on market risk models related issues
  • Assisting risk managers on model based questions and analysis. Conduct on-demand analyses of model changes and impact of new positions
  • Bachelor’s degree in Engineering, Finance, Statistics, Business Administration, or related field of study
83

Valuation Control & Analytics Analyst Resume Examples & Samples

  • Work with a team of 4 Valuation Controllers, based in Hong Kong, to perform and analyze price testing results and fair value adjustments for Equities and Derivatives Businesses
  • Perform Fair Value Classification, L3RF analysis, and other controls such as MPPI and MFVPC review in accordance with the Fair Value reporting control framework
  • That APAC valuation policy and reporting requirements are consistent and in line with the other regions
  • Assists in compilation of the monthly regional Price Verification report for Equities Business
  • Participate in the monthly Price Verification meetings with the Business
  • Handle regular / Ad hoc requests from Global Team/Regulatory Review, e.g. Prudent Valuation Reporting
  • 7 10 years of relevant experience in Product Control/Valuations/Middle office/Market Risk, with specific exposure to Equities and Structured products
  • Proficient in Excel. Knowledge of VBA preferred but not a must
  • Good interpersonal skills with the ability to operate effectively across all levels within the organization
  • Undergraduate/Postgraduate Degree in Finance, Financial Engineering or Accounting
84

Analyst, FTP Measurement & Analytics Resume Examples & Samples

  • Respond to ad hoc management requests for deep dive analyses
  • Funds Transfer Pricing concepts and their application to money out products an asset
  • Producing and analyzing management reporting financial results
  • Gathering & analyzing business requirements and explaining requirements to system developers
  • The candidate will require exceptional organizational skills, and be able to prioritize and simultaneously manage competing requirements
  • Quick to learn and apply new concepts
  • Strong work ethic, ability to take on initiatives and balance multiple tasks
  • Demonstrated strong analytical abilities
85

Accenture Analytics Analyst Resume Examples & Samples

  • Assessing opportunities and making subsequent recommendations as to the analytical approach
  • Modeling types may include linear/logistic regression, neural nets, decision trees, fractional factorials, etc
  • Developing, testing, implementing, and potentially maintaining statistical modeling implementations
  • Interacting with clients of all levels to review expected outputs, applicability to business challenges, and model measurement
  • Guiding the data formulation process which may include identification of attributes, exploratory data analysis, data transformation, and temporal layout
  • Support delivery of client work and development of new client opportunities with both existing clients and prospective new clients
  • Develop innovative thought leadership and contribute to the creation of points of view on new client Analytics offerings and insights
  • Ability to meet travel requirements, up to 30%
  • Degree in Statistics, Mathematics, Operations Research, Decision Sciences, Applied Probability etc
  • Experience in Base SAS, SAS/STAT, SAS Enterprise Miner , R, SPSS
  • Ability to work in a time-sensitive environment
  • Proficient in Microsoft Office (Word, PPT, Visio)
  • Ability to work in a team environment or independently
86

Analyst Global Analytics Resume Examples & Samples

  • Industrialise best RM performance principles by using data to drive quality customer interactions
  • Proactively take part in process improvement through idea generation and business delivery improvement initiatives (e.g. project enhancement through additional analysis modules etc.)
  • Prepare for the quarterly audits and ensure compliance to all audit checks
  • 4-6 years of relevant experience in data management preferably within financial services industry or database marketing
87

Senior Analyst Tables Games Analytics Resume Examples & Samples

  • Identifies business requirements and collaborates with Analytics team in pass-off of requirements for execution and IM development
  • Manages new reporting and insight demands with currently in-progress projects
  • Drives the demand management process through reviewing, prioritizing, and reporting on Property / Corporate requests to Vice President – Gaming Analytics and Enterprise Reporting, and communicating key requirements to the Analytics team for development
  • Performs other job related duties as requested
  • Bachelor’s degree in Business Management, Finance, or related fields, or equivalent education and experience
  • At least 2 years of experience in relevant subject area (e.g., industry or function) with experience driving business performance through operational insights and analytics
88

Senior Analyst, CSE Disputes Analytics Resume Examples & Samples

  • 3-5 years SQL experience/relational database
  • 5 years, minimum, analytics experience of any of these types: data, statistical and/or business
  • Process improvement (Lean Six Sigma ideal)
  • Independent research and development skills
  • Fully functional in MS Office suite
  • Superior communication, interpersonal and organizational skills
  • Skills Desired: Experience working with SAS applications
  • Working knowledge of the credit card industry
89

Valuation Control & Analytics Analyst Resume Examples & Samples

  • Fair Value and Financial Reporting
  • 7 - 10 years of experience within the financial industry
  • Excellent organizational skills - ability to handle multiple priorities
90

Analyst Global Analytics Resume Examples & Samples

  • Deliver tangible benefits to CPB through the innovative use of data to drive better client engagement, improve decision making and increase efficiency
  • Development of the CPB customer value and returns model including the definition and implementation of a single profitability metric at a product, facility and customer level
  • Responsible for proactively supporting C&P business areas by recommending opportunities for improving financial performance through a more entrepreneurial and customer focused approach to analytics
91

Analyst Global Analytics Resume Examples & Samples

  • Continuous focus to ensure data infrastructure remains up-to-date and accurate and are maintained in accordance with agreed deadlines and established business processes
  • Challenge the business to ensure the analysis completed is relevant, adds value and achieves commercial outcomes
  • 5-6 years of relevant experience in data management preferably within financial services industry or database marketing
92

Analyst, Performance Analytics Resume Examples & Samples

  • Generating and communicating clear, compelling and actionable insights
  • Creating and maintaining dashboards and reports
  • Gathering data through various third party platforms and analytics tools
  • Ensuring that client facing and internal reporting is done in a timely manner
  • Provide on-job training to assistant analysts
  • Presenting reports to clients during monthly and weekly phone calls
  • Expert proficiency with Microsoft Excel for data manipulation, analysis and visualization
  • Proficiency with PowerPoint for presentation delivery
  • Experience / familiarity with concepts of database design and SQL
  • Experience in SPSS, SAS, R or other advanced analytics software packages
  • Experience/ familiarity in ad-serving and web analytics tools (Google DFA, Atlas, Google Analytics, Omniture, etc.) - Familiarity with ad serving technologies including HTML and Javascript
93

Analyst, Operational Performance Analytics Resume Examples & Samples

  • Reviews customer satisfaction and other operational metric results on a daily/weekly/monthly basis to identify trends in performance; produces monthly management reports
  • Analyzes call center qualitative and quantitative data and identifies performance improvement opportunities via Microsoft Pivot tables, cross-tabs or via other tools
  • Determines areas for focus and conducts analyses to understand the drivers of performance gaps
  • Coordinates with statisticians for development of key driver analysis, statistical linkages and calibration between customer satisfaction and other operational metrics such as quality, average handle time
  • Supports relationship-building with peers in Operations to understand current operational processes and identify possible gaps that may be contributing to lower key metric results; serves as an extension of the Operational team; may document operational processes as input to improvement initiatives
  • Facilitates action planning sessions with Call Center Operations or other stakeholders. Aids in developing recommendations involving operational changes that are expected to improve results; assists in testing of new/revised processes
  • Develops updates to reflect current status of activities; monitors progress against action plans and contributes to decisions to ensure goals are met; monitors call center operational performance on goals and objectives; isolates initiative effectiveness on improving key performance metrics
  • Identifies problems that may jeopardize the analysis or program and works with manager to determine contingency plans
  • Analytical thinking and analytic aptitude; ability to apply quantitative data analysis techniques to improve work processes
  • Ability to work in an environment where activities and deliverables are dependent on a diverse group of technical and business functional experts
  • Experience or exposure with statistical concepts and applications, data analysis, call center exposure, customer satisfaction data exposure and/or process consulting experience preferred
94

Advanced Analytics Analyst Resume Examples & Samples

  • Works with the internal business customers in the definition of scope, requirements, processes, and procedures to ensure the success of projects. Develops working relationships with business area leaders and end users
  • Analyzes, designs, develops, tests, and implements high quality solutions in support of analytics
  • Applies Agile development methodologies to projects of various sizes
  • Travels occasionally for the purposes of training or to visit client groups (domestic/international)
  • Stays current with new or emerging tools and technologies
  • Ability to serve as internal business consultant to Conceive, Design, Develop and Deliver data science, predictive and/or prescriptive analytics to solve critical business problems
  • Knowledge and applied use of data science, statistical learning, machine learning, and operations research techniques identified for predictive and prescriptive modeling for business applications
  • Ability to identify emerging patterns that can be found through the analysis of big data, unstructured data, and data from multiple internal and external sources
  • Ability to translate business problems into applicable data science, statistical, mathematical solution, providing contextual insight to enhance and improve business decision making
  • Provide leadership to effectively communicate results of analytical solutions using visual storytelling to broad audience, including business partners and executive leadership
  • Ability to manage projects with strong technical and data-driven components
  • Able to overcome obstacles to achieve results, can work independently and as part of analytical project team to accomplish the objectives for our business partners
  • Highly motivated self-starter with the ability to assimilate business concepts into tangible actions
  • Strong knowledge of SQL, experience with tools and concepts related to data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
  • Proven ability to work effectively in both a team environment and individually
  • Problem solving skills combined with excellent written and verbal communication required
  • Advanced degree in Statistics, Mathematics, Data Science, Predictive Analytics, Economics, Operations Research or other related technical field is highly preferred; required for all senior positions
  • Applied experience with statistical analyses, forecasting, predictive and prescriptive modeling techniques
  • Proficiency in a wide range of data science techniques to extract, transform, harmonize and prepare large-scale data sets for modeling
  • Expertise in building customized code in SAS, R, Python, Perl, SPSS, or other data science and predictive analytics languages. Exposure to databases, HDFS, or cloud analytics platforms are preferred
  • Knowledge of visualization platforms (e.g. Tableau, Microstrategy, PowerBI) and applied use in visual storytelling is preferred
  • General knowledge of business functions and operating models is preferred
95

Analytics Analyst Resume Examples & Samples

  • 10+ years of related accounting experience
  • HMO Healthcare experience
  • Proficiency with large data sets and software/coding
  • Knowledge of care management, utilization management, network management, etc
  • Proficiency in MS Office (particularly Excel including formulas, calculations and graphs)
  • Ability to conduct full project life cycle
  • Analytical thinking ability for broader array of business problems
  • Ability to make decisions to analytic/data problems that synthesize information from several sources into concrete actions/recommendations for higher level audience
  • Managed Health Care or provider experience
96

National Analytics Analyst Resume Examples & Samples

  • Post secondary degree with 3-5 years experience
  • Expert knowledge of Nielsen syndicated data, working knowledge of JDA Software, Spectra, Homescan, Innova, Strategic Planner
  • Mastery of total business knowledge in CPG, including retail environment – all elements of strategies and tactics
  • Possess excellent problem definition, integrated solutions and communication skills for effective advocacy and influencing of the internal customer teams
  • Excellent analytical skills and the ability to translate data/ business insight for non-technical audience
  • Working knowledge and aptitude for information systems. Expert with use of advanced application in Excel and Powerpoint to effectively analyze and present information
97

Senior Analyst, Ops Analytics Resume Examples & Samples

  • Bachelor degree, or equivalent experience
  • Strong in Microsoft office (Word, Excel, Access, Powerpoint)
  • Strong analytical capabilities required
  • Business Objects experience preferred
98

Business Management & Diversity Analytics Analyst Resume Examples & Samples

  • Develop a thorough understanding of how Financial Advisors manage their practices to aid in identifying business opportunities that will drive top and bottom line growth
  • Perform modeling to determine best usage of identified business opportunities to drive business incentives and rewards including ROI scenarios
  • Create models that depict Financial Advisor behavior when FAs Team to understand drives of individual growth, client retention, and diversity on Teams
  • Develop framework for analyzing the Financial Advisor partnership landscape using data forensics to explore policy incentives to encourage the behaviors that lead to growth of the most effective teams and partnerships
  • Provide rolled up organizational analytics to apply findings across branches such as those used to identify best customers to prospect and deepen relationships with
  • Support new policy development processes using what-if scenario analysis
  • Interaction with a wide variety of business units across Wealth Management including
  • Experience with data modeling, data mining, time series analysis as well as application of standard statistical methodologies
  • Demonstrated ability to transform business needs into technology requirements that both the business and technology understand
  • Succinctly communicate ideas, recommendations orally and in writing to a wide range of audiences, as well as exceptional listening and presentation skills
  • Related financial services industry experience preferred
  • BA/BS with strong academic record
  • 1-3 years work-related experience
99

Analyst, Energy Market Analytics Resume Examples & Samples

  • Actively perform analytics in support of sales activities for complex competitive environments such as energy auctions, complex energy tenders and forward sales activities
  • Continuously analyse information from across the large-scale renewable project lifecycle end-to-end with deep dives as relevant to support winning deals (financial policies, power purchase agreements, technology enhancements etc.)
  • Support client discussions in your area of expertise together with multi-disciplinary sales teams and support functions to drive co-creation of innovate solutions
  • Support sales leaders in enhancing multi-level customer relationships through analytical dialogue regarding their market approach
  • Develop as an analytical expert in the energy space continuously pushing the boundaries in your field in order to win the market
  • Minimum 3 years of relevant industry experience especially in renewables
  • Masters degree with focus on quantitative analysis (e.g. Finance, Engineering, Economics etc.)
  • Renewable energy market experience with development, infrastructure advisory or consulting, project finance or investment banking is a major plus
100

Load Analytics Analyst Resume Examples & Samples

  • Manage the pre-sales, and renewal deal processing queue for assigned markets
  • Process deals in assigned queue consistent with established service level agreements, processing guidelines and quality standards
  • Procure historical load data and utility account attributes (e.g., service point location, profile class, rate class and meter type)
  • Evaluate, set up and process account and usage data using Load Analytic tools based on processing guidelines and quality standards
  • Evaluate load issues by type and severity based on established guidelines. Categorize load issues by type and severity to determine which issues are to be resolved by the analyst, and which issues require escalation
  • Review completed deals for accuracy and potential issues based on established guidelines and quality standards
  • Assist with the maintenance of key data
  • Identify and report inconsistencies or gaps in systems data
  • Assist with the maintenance of internal documentation
  • Assist with the post-contract maintenance of customer account attributes and load data
  • Support Retail Project initiative user acceptance testing
  • Research utility rate filings, protocols and supplier manuals to assist with new market entry and to ensure continued compatibility of our processes
  • Operate as a team member with all employees of ENGIE staff
  • Comply with all ENGIE policies and procedures
  • Carries out other duties as assigned
  • Ability to meet highest attendance requirements
  • Capable of working and thinking independently in a flexible work environment without close supervision
  • Degree in quantitative discipline is preferred
  • 1 year of energy industry experience preferred
  • LodeStar and Siebel proficiency experience is preferred
  • Intermediate to advanced knowledge of Excel
  • Intermediate SQL knowledge preferred
101

Analytics Analyst Resume Examples & Samples

  • Deep grasp of analytical skills and methods, coupled with modeling, coding and programming capabilities
  • Superior problem-solving skills and sound business knowledge
  • Excellent written and oral communication skills, comfortable to interact with mid-senior level clients
  • Good time-management skills and a flexible attitude, with willingness to work in a demanding and results-oriented team environment
  • Highly proficient in analytics tools e.g., Access, Excel, Metlab, Python, R, SAS, SQL, VB, etc., coupled with familiarity in general IT tools such as Microsoft PowerPoint and Word
  • Understanding of local Southeast Asian business operations and working culture will be highly desirable
  • Energy
  • Financial Institutions
  • ​Telecoms, Media, & Technology
102

Analytics Analyst Resume Examples & Samples

  • Master’s degree in Operations Research, Statistics, econometrics, Computer Science or an MBA in Operations Management
  • Strong quantitative background and an outstanding academic record
  • Proven performer with at least 2-3 years of analytics experience
  • Experience and familiarity doing multivariate predictive modeling, machine learning and analytics software such as SAS, R, Python, Tableau and advanced Microsoft Excel
  • Strategic and creative thinker with very strong problem-solving skills including quantitative and analytical capabilities
  • Willing to work in a highly demanding and results-oriented team environment
  • Excellent communication skills - able to grasp and communicate complex ideas effectively
  • Collaborative team player, capable of working well with others but also autonomously with little direction
  • Capable of carrying out multiple tasks or projects in parallel
  • Willing to travel
103

Senior Modeling & Analytics Analyst Resume Examples & Samples

  • Liaison with business owners – understand business drivers and analytical needs – how do changes in the economy impact the business in regards to earnings, asset quality, liquidity, capital
  • Develop and maintain financial tools that aid in the analysis of earnings, asset quality, liquidity, capital
  • Preparing materials that clearly and concisely communicate and document the financial tools and results of analysis
104

Text Analytics Analyst Resume Examples & Samples

  • Identify and map business processes to text categorization rules in English and Chinese
  • Develop text analytics expertise
  • Engage in new product launches and cross-functional initiatives with Product, Engineering, and Marketing
  • Develop a thorough understanding of product features and setup configurations that are relevant to each client program and industry
  • Native speaker of Chinese
  • Knowledge of the inner workings grammar and lexicons for English and Chinese
  • Experience with JavaScript, XML, and/or RegEx a plus
105

Predictive Analytics Analyst Resume Examples & Samples

  • Interest in using data to solve problems in the construction and engineering industries
  • 0 to 3 years work experience performing statistical analysis, data mining, data science, machine learning, etc. in a professional setting
  • BA / BS in Analytics, Statistics, Mathematics, Computer Science, Economics, or related field; a demonstrated interest in data analysis is critical
  • Level of proficiency with data analysis tools such as R, Python, SPSS
  • Experience with SQL to support data acquisition functions
  • Passion for learning new data analysis methods and tools
  • Able to apply analysis techniques for classification, regression and time series analysis. Familiarity with machine learning algorithms (decision trees, clustering, SVMs, etc.) and ensembles
  • Works as a member of a team on tasks assigned by supervisor to help develop decision support tools for the business
  • Data Acquisition – Extracts data from enterprise sources, transform, clean, profile and prepare
  • Analyze Data – Conduct analysis and interpret results
  • Communication and Presentation – Explains results of analysis to team members, train business how to use decision support tools
  • Team Work – Follows project plan, best practices and group standards. Documents work
106

Cross Channel Analytics Analyst Resume Examples & Samples

  • 3+ years of analytical experience
  • Ability to excel in a fast-paced, complex, and ambiguous business environment
  • Ability to deliver work on-time
  • Possess team player mentality
  • Possess attentiveness to detail
  • Possess a desire to learn and grow with an organization
  • Proficient in Hive, SQL, MySQL, and/or R programming languages
  • Ability to apply statistical rigor to analyses
  • Knowledge of “big data” environments and tools
107

Products Analytics Senior Analyst Resume Examples & Samples

  • Analyzes and solves problems that arelower complexity and may be routine in nature,requiring varied responses depending on the situation
  • Interacts with peers withinAccenture before updating supervisors. Likely has some interactions with non-management levels at the client and/or within Accenture
  • Understanding of Products Industry/Domain
  • Experience working with one of the sub-industries within Products – Pharma, Retail, Health or Consumer Packaged Goods
  • Understanding of the data sets within these sub-industries such as commercial, point of sales, clinical, claims data, etc
  • Analytics enablement (dash-boarding, tool development)
  • Experience working onsite at client locations
  • Actively engage in knowledge learning, sharing and storing
  • Steep learning curve and adapting to new client situations quickly and work under a competitive environment
  • Excellent communication skills, including the ability to summarize and articulate information in presentations as well as written communication
  • Adhere to the firm’s standards on ethics, code of conduct and values
  • At the Consultant level additional responsibilities include
  • Minimum of 1 year of client facing experience
  • Minimum of 2 years of formal presentation experience
  • Minimum of 1 year of hands on experience working on advance analytics projects involving statistical models
  • Minimum of 1 year of experience with advanced analytics tools such as SAS or R
  • Minimum of 1 year of experience in requirements gathering and design for BI/analytics
  • Additional years of experience required with the above skills for Consultant level consideration. Must also have
  • Bachelor’s degree in Engineering, Computer Science or Statistics
  • Master’s degree in Business Administration, Statistics or Operations
  • 1+ years of experience with data visualization tools such as tableau, spotfire, qlikview
  • Strong desire to grow technical analytics skills
  • Conceptual knowledge and understanding of databases
  • Able to build relationships
  • Solid Microsoft Office (Excel and power point) skills
  • Business and technical accountability
  • Understanding of US Products Industry market
108

Advanced Analytics Analyst Resume Examples & Samples

  • Collect, analyze and synthesize data; develop information and reporting to guide business decision making for risk adjustment activities and strategies
  • Provide analytics and reports to constituent departments to inform financial plans, forecasts and annual bids
  • Critically review results of analytics to make recommendations on process improvements, vendor remediation, changes to strategic approaches, etc
  • Develop and manage reporting of department dashboard, metrics and program results
  • Support the risk adjustment operational activities by providing analytics, assessments of results and critical reporting
  • Provide timely analysis of outcomes and participate in the development of new opportunities
  • Support initiatives related to informing program direction, program results, key analytics and actionable reports to physician groups
  • Support and Collaborate with internal business partners, directors and managers, across Anthem, maintaining effective relationships and sharing best practices
  • Knowledge of risk adjustment methodologies preferred
  • Requires demonstrated analytical and decision making skills
  • Demonstrated ability to handle multiple tasks simultaneously
  • Experience participating in cross-functional teams
  • Excellent oral and written communication skills evidenced by the ability to present information effectively
  • High degree of initiative and professionalism; ability to effectively interact with all levels of an organization
  • Proficient with some combination of SAS, SQL, Excel, and/or Tableau
  • Masters level educational experience in a field such as statistics, epidemiology, mathematics, business administration, actuarial science, or similar preferred
  • 4-6 years of business experience in health insurance operations, including at a payer or vendor
109

Senior IT DT Analytics Analyst Resume Examples & Samples

  • Contribute to the success of the Optum Care Data Management team
  • Design, develop, maintain, monitor and execute production ETL processes
  • Investigates production ETL issues / problems
  • Mapping database sources to specified data formats
  • Verify and validate ETL deliverables
  • Provides direction and mentorship to less experienced colleagues on topics related to database design and ETL deliverables
  • Lead troubleshooting episodes and communicate solutions / resolutions to the team
  • Translate concepts to requirements, and development into an automated production process
  • Act as a subject matter expert and resource for others on assigned ETL processes
  • Complete projects and development activities timely and accurately while following the System Development Life Cycle (SDLC)
  • Suggest changes and enhancements for ETL processes
  • Maintain ongoing self-study program to enhance knowledge of PL / SQL, Oracle, TOAD and Informatica PowerCenter
  • Document hours and development activities by following SDLC and IS Change Management guidelines
  • 3 or more years experience with PL/SQL and/or T-SQL
  • Strong knowledge of database design and entity relationships
  • Data warehouse and / or Extract, Transform, and Load knowledge
  • Bachelor's degree in MIS, Computer Science or a related field, or related work experience
  • Production ETL operations and monitoring
  • Informatica Power Center experience
110

Senior Programmatic Analytics Analyst Resume Examples & Samples

  • Perform hands on analyses on large volumes of campaign level data
  • Develop highly complex data extracts using SQL and ensure requirements are developed in accordance with specified business and
  • 5 years’ work related experience within a business intelligence team with relational decision support databases required. Analytical consulting experience is highly preferred
  • Minimum 3- 5years’ of programming experience with statistical and database software, i.e. SQL Server, SAS and Business Objects is required
  • Demonstrated knowledge of Microsoft Access and Excel functionality to include the use of macros to streamline report publishing process
  • Competitive monitoring tools, i.e. ComScore, Compete, Pathmatics, etc. is preferred
  • Demonstrated experience in a decision support and data warehousing environment
  • Demonstrated project management experience in organizing, planning and executing large scale projects
111

Asset Analytics & Econ Analyst Resume Examples & Samples

  • Compiling pre-op AFE packet for review
  • Running data analysis for cash flow model to compile metrics
  • Compiling look backs to determine model's effectiveness
  • Improving pre-op AFE cash flow model functionality
  • Improving and investigating new metrics to use for modeling
  • Help look at existing chain to identify underperforming sites that can be improved
  • Other projects assigned by management requiring advanced statistical analysis techniques
112

Expense Analytics Analyst Resume Examples & Samples

  • 1 to 3 years of relevant work experience, preferably in financial services industry
  • Strong interpersonal, written and verbal communications skills
  • Very Strong PC skills and / or aptitude, specifically Excel and PowerPoint; Essbase is a plus
  • Highly motivated and a quick learner
113

Business Systems / Analytics Analyst Resume Examples & Samples

  • 5+ years of experience in consulting with business stakeholders to determine IT requirements that support organizational functions and business strategies
  • 1+ years of experience with leading Agile teams and developing user stories
  • Experience with writing user stories
  • Experience with using system analysis and troubleshooting to analyze, isolate, and document problems and issues, identify risks, and develop options and solutions
  • Ability to define project goals and work independently to complete projects while adhering to the established schedule
  • Possession of excellent teamwork and interpersonal skills
  • Agile Certification, including PMI
  • ACP, ICAgile Certified Professional, or Scrum Master
114

Product Analyst User Analytics, Adobe Spark Resume Examples & Samples

  • Empower product teams with data and insights, to enable timely decisions and answer high priority user and business questions
  • Be the analytics owner for A/B testing experiments, to test new product ideas and convert the results into actionable recommendations
  • Drive investigations on changes to performance, working closely with product owners to test hypotheses, synthesize a clear storyline and communicate across teams. Build data access tools and processes that allows semi-technical members to explore, slice, and dice data
  • Create and maintain insightful automated dashboards and data visualizations to track key business metrics
  • BS/MS degree in an analytical discipline: statistics, applied mathematics, computer science, engineering, economics, etc
  • 3+ years of industry experience in analytics, data science, business intelligence or decision support functions in technology, management consulting or related industries
  • SQL Ninja with experience extracting and analyzing data from Hadoop (using Hive, Pig, Spark, etc.)
  • Experience working with web and mobile analytics collection hubs. Experience with Adobe Analytics is a plus
  • Experience planning, deploying and analyzing A/B tests to ensure that tests are valid, accurate, statistically significant. Knowledge of Adobe Test & Target and Audience Manager is a plus
  • Experience with Tableau, Lookr, Microstrategy, or other data visualization and BI tools
  • Knowledge of R, Python or Scala for data mining and analysis is a plus
  • Excellent oral and written communication skills, including crafting coherent narratives and implications around complicated quantitative concepts that can be easily understood by executive teams and non-technical stakeholders
115

Performance Analyst, MI Analytics Resume Examples & Samples

  • Provide business insights to drive performance improvement and deliver Management Information (MI) to support North America (NA) Fuels business
  • Perform special projects to automate Management Information (MI) reports in support of the NA Fuels business
  • Lead business analysis to define scorecards and reporting requirements
  • Interface with IT&S experts to develop scorecards and reports
  • Act as a Data Governance convener across NA Fuels business
  • Perform Retail Site Maintenance Analysis
  • Prepare 30-month Demand Plan Aggregation for review with Sales Directors
  • Perform special projects and ad hoc analysis, as needed to support the business and information demands
  • 5 years of experience in analytics, reporting and/or working with Management Information analytics
  • Ability to interpret and communicate financial information with clarity
  • Strong influencing and team building skills, with an ability to build consensus and engagement with key stakeholders at all levels and across organizational boundaries
  • Experience with performance management and use of tools to create insight
  • Strong interpersonal, networking and communication skills with the ability to make a significant contribution to management team while offering sound independent advice on Finance matters
  • Strong analytical skills with advanced Excel or Access experience
  • Demonstrable drive and determination to see complex opportunities and issues through to resolution
  • Experience with Tableau or similar data visualization tools
  • Specialized degree in Finance or Accounting preferred
116

Senior Business Analytics Analyst Resume Examples & Samples

  • Ability to transform data into insight & recommended actions for driving change in business results
  • Help create an end-to-end view of how customers interact with eBay policies, products and service and how eventually they convert into financials based on what we hear and know within GCX
  • Transform scientific/data analysis and communicate business performance in a clear and insightful way to the business to facilitate timely and informed decision making
  • Be an advocate of GCX for the rest of the eBay organization, pushing insights to make eBay and GCX better
  • Provide global business & analytics thought leadership
  • BS Degree in Statistics/Mathematics or quantitative field required (or experience equivalent), PhD/MS degree preferred
  • Prior experience in creatively applying regression techniques/modeling, optimization techniques, bias-variance analysis, cluster analysis, A/B testing, etc for business applications
  • Intellectual curiosity, passion for problem-solving, and comfort with ambiguity
  • Ability to thrive in a cross-functional environment while juggling multiple responsibilities
  • Excellent written, verbal and interpersonal communication skills with the ability to communicate and deal with all levels in the organization in a clear, timely and effective manner
  • Familiarity with SQL, R, SAS, or other data accessing/manipulation/computational tools
  • 5+ years of experience in analytics and insights
117

Performance & Analytics Analyst Resume Examples & Samples

  • Strong analytical ability and a hunger for solving complex problems
  • Excellent coding skills in an object oriented language (e.g., C#, Java, C++)
  • 5+ years of application development experience
  • Experience with performance monitoring, analysis, and troubleshooting of enterprise production systems
  • Strong proficiency with SQL and a thorough understanding relational database systems
  • Working knowledge of modern web technologies including: HTML, HTTP, REST, XML, JSON, JavaScript, CSS
  • Bachelor's Degree in Computer Science, Engineering, or equivalent experience
118

Advanced Analytics Analyst Resume Examples & Samples

  • Requires Graduate-level degree with concentration in a quantitative discipline such as Mathematics, Statistics, Economics, Epidemiology, Engineering, Computer Science or Operations Research ; 0-3 years direct experience applying statistical/analytical tools to solve research/practical problems; some exposure to health care or related fields preferable; or any combination of education and experience, which would provide an equivalent background
  • Ideal candidates should have 2~4 years’ working experience with SAS or equivalents analytical tools and/or working experience with Teradata, SQL, or equivalent data base tools
  • Some clinical knowledge preferred
  • Must proficient in Excel
119

Senior IT DT Analytics Analyst Resume Examples & Samples

  • Lead troubleshooting episodes and communicate solutions/resolutions to the team
  • Maintain ongoing self-study program to enhance knowledge of PL/SQL, Oracle, TOAD, and Informatica PowerCenter
  • 3 or more years of experience with PL/SQL and/or T-SQL
  • Data warehouse and/or Extract, Transform, and Load knowledge
120

RMM Systems & Analytics Analyst Resume Examples & Samples

  • Support sales teams with planning, Siebel/Trade management, and timely management of promotional activity within our Bottler network
  • Participate in the commercial selling process with our key Bottlers
  • Strong financial and analytic capability necessary to assess retail customer plans and calculate the necessary funding to improve bottler economics, margin dollars and meeting margin requirements
  • Excellent communication skills that enable open dialogue with internal and external customers / bottlers to ensure clear articulate plans that are mutually beneficial
  • Ability to negotiate and influence change by providing transparency to obtain alignment in the planning process to activate our customer plans
  • High acumen for managing IT / Systems to ensure the alignment of plan, the creation of the liability for funding and the settlement and reconciliation with our retail and bottling partners in a timely manner
  • Work closely to leverage / enhance the ISO disaggregation business model from a reporting and functionality perspective. Will require close working relationship with RMM systems. Additionally, will require proficiency with IRI and POP system
  • Bachelor degree from an accredited university and 2 years of sales/trade planning, support or relevant work experience
  • 2 years’ experience working with and maintaining simple databases
  • 2 years’ experience working with MS Office, including intermediate/advance Excel functions (v-lookups, pivot tables, etc.)
121

Category & Spend Analytics Analyst Resume Examples & Samples

  • Partner with Category Sourcing teams to identify data and analytics needs
  • Developing plans and timelines to extract large amounts of source data from vertical and external systems
  • Mapping of data to global standards
  • Bachelor’s Degree and a minimum of 3 years’ experience within Strategic Sourcing or Procurement; with demonstrated abilities using data to drive decision making
  • Familiarity with Sourcing Strategies and concepts, particularly within the Indirect area
  • Strong Data and Analytics capabilities
  • Experience working with large data sets to generate actionable analytics
  • Experience designing and building dashboards and visual solutions in BI Platforms a plus
  • Strong project management skills and ability to manage multiple competing priorities
  • Self-starter who proactively acts and recommends process and technology improvement opportunities
  • Ability to take thoughts and ideas from conception through implementation, ensuring that the end result drives maximum value to the Sourcing teams
  • Strong interpersonal & communication skills with the ability to interact at all levels of management
  • Ability to travel periodically (<10%)
  • Ability to write Macro’s to automate processes
  • Some familiarity with SQL databases and language
  • Experience working with TIBCO Spotfire or Tableau
122

RMM Systems & Analytics Analyst Resume Examples & Samples

  • Provide analytic, business and account support through management and validation of data upload process
  • Support account reviews, ensuring accurate and timely information
  • Respond to ad-hoc analysis requests
  • Documentation of current and on-going processes
  • Maintenance of current QA environment
  • Provide input on current and future system architecture
  • Drive RMM processes for account planning
  • Support the annual account planning cycle
  • Provide customer- and BU-specific performance reporting as needed
  • Leverage available tools (Optura, IRI, Nielsen) and other customer-specific information to drive DPS strategies
  • Work closely with other RMM personnel to ensure alignment and optimization across the total customer set, driving improved alignment between National/Regional accounts and other sales support functions (Category Mgmt, Shopper Marketing, etc.)
  • Responsible for key testing, validation and roll out
  • Manage updates and enhancements as needed
  • Run applicable reports and communicate to the organization on a given cadence
  • 3 years of Excel experience with a high level of proficiency in VLOOKUP formulas, Pivot table creation
  • 3 years of VBA coding with the ability to analyze pre-written code
  • 3 years of relational data base experience ( Example, Access , SAP or SQL Server or similiar)
123

Functional & Industry Analytics Analyst Resume Examples & Samples

  • Help companies better understand consumers and how to connect with them across markets and channels, using data and analytics
  • Offer our clients end to end solutions and services
  • Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems
  • Project-based analytics including but not limited to Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Big Data Analytics, Pricing and Promotion, Trade Analytics, Markdown Optimization, Demand Forecasting, Customer Segmentation
  • Minimum of Bachelor's Degree required in related field; strong preference for fields of study in the data science, economics, statistics, and social sciences
  • Minimum of 2 years of increasing experience in management consulting or industry
  • Minimum of 2 years delivery experience in advanced modeling environment: strong understanding of statistical concepts and predictive modeling
  • Possess a blend of marketing acumen, consulting expertise, and analytical capabilities that can will create value and insights for our clients
  • Experience with analytic projects in the following areas: Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations, Digital, Marketing Intelligence & Competitive Analysis
  • Has time management and communication skills necessary to execute the responsibilities and deliver against client expectations
  • Plan and manage own work in collaboration with the team to meet assigned deliverables in a timely manner
  • Demonstrated teamwork and collaboration in a professional setting; either military or civilian
124

Advanced Analytics Analyst Resume Examples & Samples

  • Manage multiple projects and timelines
  • No direct supervisory responsibilities
  • Strong analytical skills and excellent problem solving ability with business and marketing acumen, and business mind
  • Able to translate complex data into action by clearly and cogently communicating the implications of analyses from peers up to senior management
  • Able to frame complicated questions and work with large data sets to distill clear and actionable findings
  • Self- Starter. Discipline and flexible to meet deadlines in a fast paced environment
  • Very organized with meticulous attention to detail. Able to multi task
  • Detail and results oriented
  • Proven experience using analytics to drive business results
  • Previous work with customer data strongly preferred
125

Google Analytics, Analyst Resume Examples & Samples

  • Analyze variances in KPI’s, present analysis to stakeholders, and assist in the development and monitoring of performance versus plan
  • Web analytics experience is a plus, a strong interest in digital is necessary
  • Excellent communication skills for conveying analysis and recommendations to a variety of audiences. Ability to develop presentations with proven data interpretation capabilities
  • Experience in Excel with SAS or SQL a plus
126

Senior Analyst / Am-dashboard & Analytics Resume Examples & Samples

  • Support design, development, deployment and maintenance of internal Deloitte Greenhouse dashboards, including but not limited to operations, resourcing, sales, and Business Chemistry using tools including Tableau and Qlik
  • Address challenging problems across a broad range of industry domains through analytical solutions
  • Creating and cleansing demos, tools, visuals, and analyses for Deloitte Greenhouse client-facing Labs
  • Assist in strategy and implementation to improve data quality for internal Deloitte Greenhouse reporting
  • Be responsible for self and peer-level level review deliverables
  • Build relationship with key stakeholders and provide regular progress reporting to internal stakeholders
  • Be client and quality centric with attention to details, customized for each client
  • Be flexible and adaptable to dynamics of the process and practice professional behavior at work
  • Work on tight deadlines and agreed SALs
  • Work effectively with all team members with active knowledge development and sharing best practices, to achieve common team goals
  • Be able to coordinate with disparate resources, and work with people from multiple countries and cultures
  • Fully comply with all applicable policies of the Deloitte U.S. Firms; maintain confidentiality at all times, as we deal with highly confidential client information for all our clients for which Labs are done
  • 1 to 4+ years of experience with at least 1 year of relevant experience
  • Undergraduate university graduate
  • Experience working in a fast-paced, team environment
  • Experience working independently on multiple simultaneous assignments or engagements
  • Effective interpersonal and written and verbal communication skills
  • Logical thinking ability and strong comprehension
  • Ability to be flexible
  • Experience in key data, analytics visualization tools, with certification in at least one of the following
127

Reportings & Analytics Senior Analyst Cps Resume Examples & Samples

  • Excellent MS Excel skills (pivot tables, vlookups, complex formulas etc.) & good MS PowerPoint skills
  • Willingness to work in a 2 PM to 11 PM shift
  • Effective problem solving and interpersonal skills and analytical mindset
  • Ability to identify complex issues and develop solutions to address relevant situations
  • Flexible, accountable, ability to collaborate and work in teams
  • Expertise in handling huge multi-dimensional reports
  • Ability to manage multiple priorities, meet tight deadlines and work in high pressure client driven work environment
128

Analyst, Post-event Analytics Resume Examples & Samples

  • Deliver Post Event Analytics
  • Understand and summarize current investment results
  • Influence RGM and Brand teams to potential strategic changes
  • Work with customer commercialization and field sales to positively change promotion investment activities
  • 1 year of experience in business analytics or any amount of experience in a Revenue Growth Management function is required
129

Analytics Analyst Resume Examples & Samples

  • Defining business questions and framing these into analytical problems
  • Data profiling and analytics using a variety of analytical and Business Intelligence tools
  • Combining data from multiple sources to build business insight and understanding
  • Providing hands on analytics and application of both data science and data modelling techniques to provide transformative proposals for business process improvement
  • Issuing identification and analysis techniques, such as pattern analysis and root cause analysis, to help identify why issues occur and propose solutions
  • Experienced in data analytics and business analysis
  • Experienced in a range of data analytics tools and techniques
  • Experience working in global remote teams
  • Proven ability to identify issues and propose solutions
  • Some stakeholder management experience
  • Degree level qualification in data analytics or a related mathematical science
  • Proficient in use of ETL (Extract, Transform and Load), Business Intelligence tools
  • Proficient in SQL, R, Python, Cypher, MatLab, SAS
  • Innovative, creative, articulate and able to work directly with a broad range of stakeholders
  • Able to demonstrate examples of previous successful deliveries and a track record in providing insight through the application of data analytics
  • Able to create visualisation solutions for presentation to and use by Senior Managers
130

Advanced Analytics Analyst Calamba Resume Examples & Samples

  • Develop business insights from multiple big data sources
  • Make use of data analytics to answer key business questions by providing both qualitative and quantitative analysis on request
  • Find out hidden problems or new opportunities to apply machine learning/deep learning to achieve business improvements in the supply chain
  • Layout a framework or methodology to apply machine learning/analytics techniques into business operations
  • Work with a data architecture to ensure the accessibility and capability of a central database infrastructure
  • Apply different data mining models on data for analytics
  • Find ways to simplify and make the process of performing data mining faster and more efficient
  • Present technically complex solutions to the business stakeholders in a simple yet interesting way
  • Persuade different stakeholders to participate in the analytics projects
  • Work with project managers to ensure delivering developed insights
  • Communicate in a professional, responsive and helpful way to the internal customers
  • Provide solution support, advice and guidance to the internal customers
  • Degree in Business Analytics, Information Systems, Computer Science, Statistics or Mathematics
  • Having more than 3 years of experience of hand-on analytics work
  • Methodology approach to data mining & mindful in statically approach for data mining
  • Predictive modelling using SAS, R, Rapid Miner, Python
  • Basic knowledge in Programming languages JAVA , C# , C , VB.net , ASPX.Net , MS Excel/Access based VBA development and other
  • Data mining techniques such as random forest, SVM, Boosting, Sampling , decision tree, regression and Neural Networks
  • Able to transfer findings to web-based visualizations
  • Proficient with SQL, SQL server
  • Able to interact and retrieve data from Hadoop environments
  • Design, implement and maintain the infrastructure for performing data mining on large data set
  • Knowledgeable in using business intelligence virtualization tools (Business Objects, Tableau, SAS)
  • Self-motivated, dynamic, results-driven and assertive
  • Good presentation skills at all levels of the organisation
  • Team player, comfortable dealing with all business levels and external suppliers
  • Ethical, personal integrity
  • Willing to be flexible in tasks and activities taken on
  • Enjoy challenges and thrives on them
  • Attention to detail without losing bigger picture
131

Metrics & Analytics Analyst Resume Examples & Samples

  • To execute the functions related to the performance management pillar in the Regional Strategy & Deployment
  • Support the business analytics leader in developing and deliver a CLS EMEA dashboard aligned with global CLS metrics
  • Support the team in the regional group to manage and maintain the data and publish the dashboard on monthly basis
  • Collaborate effectively with the Cluster teams and other Regional Functions (QA, Transport, IT, HR) for timely and accurate submission and consolidation of inputs (i.e.: Quarterly cross-sector dashboard)
  • Be the EMEA touch point for Metrics and Analytics to the Global teams and other Regions (be an active participant in the metrics Community)
  • Network and collaborate with other regions on Metrics and Analytics
  • Develop an analytical framework for EMEA CLS
  • Provide meaningful and timely analytics as well as ad hoc analysis support to Cluster and Regional teams for identification of opportunities and challenges
  • Support the governance of a team of professionals with internal and external resources to effectively network with experts in order to provide a sustained support for the region on all metrics analytical aspects
  • Maintain and support CIP visibility for all EMEA according to requirements that might arise
  • Ensure timely reporting to process owners is kept
  • Support Cost to Serve analytics programs
  • Bachelor/Master
  • 3-5 years in supply chain related disciplines with experience in Analytics and Performance management functions strongly preferred
  • Strong analytical, statistical and project management skills; proven track record in setting up of Supply distribution performance measurement and management system
  • This individual will be a skilled communicator with a demonstrated ability to synthesize large quantities of information and present cogent recommendations
  • Capable of achieving results in a highly-matrix and global environment
  • Excellent collaborative skill. Ability to work regionally and globally, across businesses, sectors, and functions
  • Good knowledge of finance is a must
  • A background of working in logistics metrics creation and supply chain efficiencies programs is a must as well
  • Language skills: English
132

Analytics Analyst Resume Examples & Samples

  • Data sourcing, discovery and analytics using ETL (Extract, Transform & Load) and Business Intelligence tools
  • Driving innovation and science in the Data Quality domain, leveraging the data harvested to correlate, quantify and guide remediation activities through models
  • Creating models to measure Data Quality without Data Quality rules
  • Working collaboratively with Project Managers, Developers and End-users to deliver working solutions and analytics in an Agile and Iterative manner
  • Having direct involvement in the end-to-end system development lifecycle (SDLC), from solution requirements, gathering and validation activities, through to production deployment
  • Creating models and reports providing interpretation and insight into business data
  • Hands on analytics and application of data science
  • Creating visualisation solutions for presentation to and use by Senior Management
  • Demonstrable experience using data science to solve business problems
  • Proven statistics or machine learning experience
  • Experience working in Global teams
  • The ability to identify issues and propose solutions
  • Previous experience working in a project / programme environment
  • End-to-end SDLC experience
  • Experience with programming and data languages such as Python and SQL, Java (beneficial)
  • Experience working with the Hadoop platform (beneficial)
  • Experience with Big data tools like Hive, Impala, Spark and Pig (beneficial(
  • Experience with Extract, Transform and Load (ETL) tools like Pentaho, Informatica Data Quality, RapidMiner (beneficial)
  • Experience with visualisation tools such as Qliksense, Arcadia data (beneficial)
133

Df Analytics Senior Analyst Resume Examples & Samples

  • Daily project activity coordination for multiple large scale initiatives such as Supply Chain Sync, Manual Floor Load, and Breakpack enhancement Implementation
  • Developing and executing score carding for project and key organizational metrics to evaluate the performance to business case of those projects
  • Performs forecasting, development and implementation of process improvement opportunities associated with assigned projects
  • Performs analysis in support of requested business and systemic enhancements which will result in cost savings to the company
  • 25%-Utilizes quantitative skills to create and analyze reports to support business execution. Supports the business through ad-hoc queries, and maintains reports from a variety of resources as specific to department or organizational needs
  • 25%-Develops business tools and solutions based on knowledge, product or technology. Identifies Logistics process improvement opportunities through strategic thinking, critical thinking and analysis
  • 20%-Provides recommendations to senior management. Mentors and guides Logistics Analysts
  • 20%-Performs data management through data mining/data modeling/data analysis/cost/benefit analysis/process mapping/%/or problem analysis while executing day to day processes related to area of responsibility. Develops & maintains cost estimates, forecasts, and cost models. Supports business through ad-hoc queries & maintains reports
  • 10%-Manages vendor/business partner relationships
  • Industrial Engineering, Business Administration, Math or Finance Degree Master's Degree
  • Experience with Six Sigma or other Process Improvement Methodology
  • Proficient in: Microsoft Office Suite including Access, Excel, Powerpoint, Project, Word and Visio
  • Advanced Skills in: Mini-Tab, Access, SQL, Visual Basic Skills for Data Acquisition and Analysis, Visio-Process Mapping Skills
  • Finance/CBA/Capital Budget Experience
  • Business Communication: Writes, speaks, and presents clearly and succinctly across a variety of communication settings and adjusts communication style to the audience by translating and articulating technical concepts to non-technical groups
  • Creative Thinking: Demonstrates originality and imagination in thinking while developing a solution to a problem
  • Financial Acumen: Utilizes fundamental concepts of finance to manage budgets, forecast costs, and provide information to account for the financial impact of decision-making
134

Analyst, Online Analytics Resume Examples & Samples

  • Performs analysis of large volume web analytic, customer, or other quantitative data sets
  • Ability to define and convey key metrics to help understand digital performance as it relates to a member’s journey
  • Creates ad hoc and automated business performance reports based upon business requirements from stakeholders and provides a POV upon results
  • Communicates data insights and recommendations in a clear and concise manner through the use of presentations, visualizations, and reporting documents
  • Use strong analytical skills to provide insights as well as recommendations for changes and convince key stakeholders of business benefits
  • Proves or disproves business hypothesis through data analysis
  • Works effectively both individually as well as a member of a cross-functional business team
  • Acts as a liaison between the analytics teams, and individual business owners
  • Understands the full customer journey and will help create framework reporting to communicate clear impact to changes in the journey
  • Utilizes segmentation to understand profitable customer groupings and strategic insights to improve the member experience
135

Analytics Analyst Resume Examples & Samples

  • Bachelor's Degree in Accounting and/or Information Systems
  • Proficiency with very large data sets and software/coding (i.e. SAS)
  • Familiarity with DB2, ORACLE, and MS SQL Server Syntax and their purposes
  • Microsoft Excel proficient (Formulas, Calculations, Graphs, etc.)
  • General Healthcare knowledge
136

Proposition Analytics Analyst Resume Examples & Samples

  • Support larger proposition analytics team via contract research and analytics on establishing a new commercial framework for all partner types
  • Support the Proposition Business Analytics manager on Project Revelation Objectives, including collection of partner contract information and providing business insight / collaboration with developers for new partner reporting tools
  • Provide support to the Strategic programs group on the execution of the ELEVATE program
  • Responsible for issues relating to third party content such as usage rights of data within products/ services, implementation of new pricing and commercial terms for existing and new services etc
  • Provide analytical support on the content budget and help contribute towards the $1.5M savings target
  • Responsible for developing, managing and distributing Global Partner Book of Business and Management Reporting
  • Supports one of F&R's largest redistribution partners, Nasdaq, with managing entitlements, monitoring invoices and serving as a support arm with the partner
  • Perform ad-hoc reporting and analysis as needed
  • Initiate continual process improvement efforts that enhance timeliness and accuracy
  • Minimum of 3 years in commercial/corporate and/or multi-cultural/international environment with a broader knowledge of financial markets across all asset classes
  • Good commercial acumen and ideally understanding of various types of data licences
  • Proficiency in Microsoft Excel and Microsoft Access. Knowledge of internal TR systems including Siebel, TRUST & EDW a plus
  • Self motivated and works well under pressure, enjoys delivering high value added information/data in line with company priorities and strategy and continuously improve the acquisition process
  • Excellent inter-personal communication skills and ability to establish and maintain good relationships at a high level with external and internal stakeholders
137

Business Analytics Analyst Resume Examples & Samples

  • Experience with statistical data modeling using “R”, “IBM Modeler”, or other statistical data modeling tools
  • Minimum of two (2) years of combined experience in business analytics methodologies, business Intelligence, sales, and/or marketing
  • Experience leading or managing team projects
  • Advanced degree in Analytics, Data Modeling, Economics, and/or Statistics
  • Proven statistical acumen and experience with applied analytics
  • Ability to research, identify, and correlate external economic indicators
  • Formal Fact-Based Selling Skills and/or Business Insight Certification
  • Ability to solve through ambiguity, highly responsive and driven individual for a demanding work environment
  • Project management and requirements definition experience
  • Presentation delivery and clear/concise articulation of thoughts/information to tell a story through the data
  • Experienced with SAP and the SAP Business Intelligence products (Business Objects Web Intelligence reporting, Universe development, Design Studio, Lumira, Explorer, Crystal Reports)
  • Experienced with non-SAP BI and Analytic tools such as “R”, IBM Modeler, QlikView, MiniTab, and others
  • Strong technical SQL data capabilities (Teradata, MS-SQL)
  • Experienced with 3M’s key data sources and technologies (Teradata, GEDW, HANA, BW, SQL Server, etc)
  • Comfortable navigating complex data structures to isolate key conditions or for data mining purposes
  • Highly proficient with all MS-Office products including Excel (advanced functions), PowerPoint, Word, Access, SharePoint and OneNote
  • Self-starter and team player that values diversity
  • Ability to manage ambiguity and multiple simultaneous priorities
138

Portfolio Analytics Analyst Intern Resume Examples & Samples

  • Assist in analyzing, researching and reporting out on large sets of data over time on non-engaged, online advice, target date fund holders and managed account members re: asset allocation, fund holdings, risk, performance and other data
  • Create and design prototype reporting for senior members of portfolio management on performance, fund flows, asset allocations over time for different sets of cohorts
  • Help review all aspects of our investment process to ensure the success of the managed account program implementation
  • Also serve as a resource for ongoing review of member portfolios, printed statements and transactions
  • Help develop analytical tools and metrics to monitor and ensure fiduciary quality while maintaining efficiency of transactions and printed statement processing
  • Other projects as assigned
  • Currently enrolled in BA/BS program with strong analytical and quantitative skills. Enrollment in Masters degree program in a quantitative field and/or participation in the CFA program strongly preferred
  • Strong technical and programming skills, including Excel, Visual Basic, Tableau, database systems – Microsoft Access and SQL, programming languages such as Matlab or Python
  • Strong proficiency in accessing, storing, manipulating and analyzing large sets of data
  • Good understanding of portfolio theory and knowledge of financial instruments
  • Basic understanding of retirement plans structures and features
  • Preference for 1-2 years relevant experience in the investment management industry preferred
  • Ability to work efficiently and multi-task effectively in a fast-paced and team-oriented environment
  • Excellent communication and problem solving skills
  • Authorization to live and work in the United States on a permanent basis
139

Consumer Analytics Analyst Resume Examples & Samples

  • Deliver data driven insights for the business to leverage as a strategic business asset and driver of incremental revenue opportunities
  • Measurement of KPIs around viewer satisfaction, relationships, loyalty, and advocacy
  • Measure and quantify fan journeys and map against DATG experiences & touch points
  • Propose and leverage new sources of data for acquisition, from both internal consumer touch points and external third party data partnerships
  • 2+ years of experience working in marketing, digital experiences, or other consumer-focused roles
  • 2+ years of experience working in role focused on consumer analytics
  • 2+ years experience with complex, large-scale relational databases, statistical programs and other tools (SQL, SAS, R, etc.) with an aptitude to learn other technical applications quickly to compile and interpret quantitative data. Proven track record of extracting accurate conclusions and identifying trends from quantitative information
  • Ability to visualize and communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Passion for empirical research, experimentation, and answering hard questions with data
  • Experience working with marketing and response data from various media channels, including television, social media, online video, search, email, mobile, and SMS
  • Experience working with digital and mobile environment data, including online behavior tracking, video players, apps, cookies, and device IDs
  • Experience working with ad sales data for the media/publishing industry, including rate card, GRPs, Nielsen ratings, and inventory forecasts
  • ​Degree in Statistics, Econometrics, Mathematics, Operations Research, Computer Science, or equivalent/related degree
140

Energy Analytics Analyst Resume Examples & Samples

  • Seasoned individual contributor with an in-depth understanding of area of accountability. Typically works very independently and is able to identify complex problems
  • Responsible for building the budget and TRA templates for existing clients that are unique to the standard FM budget or TRA
  • Responsible for communicating and retrieving supplier information for their Budgets and TRA’s (such as basis quotes, projected NYMEX, Canadian pricing)
  • Responsible for sending the final product to Tech Lead or Reports group
  • Responsible for Gas/Power summaries as well as invoice reconciliation for utility, supply and pipeline to complete report
  • Responsible for power factor analysis
  • Assist with Training Coordinators on specific task (not related to industry basics)
  • Authority Level for Risk policy – 500 Dth/Day or 6,125 MWh
141

Senior Analyst, Ad Hoc Analytics & FSD Resume Examples & Samples

  • Business metrics, KPI’s, and business performance measurement consulting (e.g. Gross Adds, Churn, ARPU/ARPA, cost to serve) to assist stakeholders with automating and measuring key business strategies and tactics
  • Geographic analysis and reporting across Sales, Marketing, Roaming, and Finance
  • Customer analysis including profiling/segmentation, customer lifetime value (LTV), and churn
  • Behavioral analysis of customer experience (e.g. payments, usage, care center calls, store visits, roaming behaviors, device behaviors, etc...)
  • M&P support for product and price plan auditing, analysis, and ad-hoc reporting
  • Sales channel analysis and reporting
  • Development of MS Visual Studio and SharePoint applications for the Finance Organization (300+ associates)
142

Analytics Analyst Resume Examples & Samples

  • Three or more years of relevant healthcare experience
  • Supporting electronic medical records from an application analyst or analytics / reporting perspective
  • Developing reports in SQL, reporting tools (such as Crystal Reports, Business Objects, Cognos) and Excel
  • Developing requirements and delivering projects in a direct working relationship with clinician
  • Three or more years of relevant SQL experience
  • SQL tuning
  • Data profiling
  • Developing reports in SQL, reporting tools (such as Crystal Reports, Business Objects, Cognos, Access) and Excel
  • Developing requirements and delivering projects in a direct working relationship with end-users and stakeholders
  • Ability to question and identify data quality in reports
  • Analytical, problem-solving and conceptual skills
143

Advanced Analytics Analyst Resume Examples & Samples

  • Determine the source of the data, coordinate extraction and acquisition
  • Explore and discover new data sources, and transform raw data extract through profiling, cleaning, mapping and validation with expert resources
  • Provide summary statistics of key performance metrics and other measures deemed significant business units
  • Coordinate and manage data analytics activities with stakeholders
  • Bachelor’s degree in Statistics, Mathematics, Engineering, Operations Research, Computer Science, Information Technology or related fields. University graduates are encouraged to apply
  • Knowledge of evaluating success of predictive models, both for classification (e.g. Percent Correct Classification, confusion matrix, lift, gain, Receiver Operating Characteristic and Area Under the Curve) and continuous (R-squared, average error, mean squared error, median error, average absolute error, median absolute error) models
144

Analytics Analyst Resume Examples & Samples

  • Providing data sourcing, discovery and analytics using a variety of tools, visualisation and scripting
  • Providing hands on analytics and application of data science techniques, such as statistical modelling and predictive analysis, to provide transformative proposals
  • Creating models, reports and visualisation solutions to provide interpretation and insight into business data and processes
  • Using issuing identification and analysis techniques, such as pattern analysis and root cause analysis, to help identify why issues occur and proposing solutions
  • Mentoring and coaching junior team members to develop their analytic, technology and business skillsets
  • A good background and proven experience in Data Analytics
  • Strong Structured Query Language (SQL) skills
  • Experience with Hadoop (Hive, Impala, HUE, Scoop, map reduce) beneficial
  • Experience with python or other scripting languages (beneficial)
  • Experience of R or similar beneficial
  • The ability to prioritise key deliverables
  • Experience with Agile principles and methodology
  • Experience in a financial domain (capital markets, transaction banking, wealth management) beneficial
  • Experience working in one or more of the following domains: Anti-Money Laundering, Compliance, Anti-Financial Crime, Anti Bribery and Corruption and Bribery and Sanctions (beneficial)
  • Educated to Bachelor degree level (or equivalent qualification / work experience) in a quantitative discipline
  • Innovative, creative and passionate about data
  • Articulate and able to work directly with a broad range of stakeholders
  • A logical thinker, organised and meticulous
  • Ability to demonstrate examples of previous successful deliveries and a track record in providing insight and innovation through the application of data science
145

Advanced Analytics Analyst Resume Examples & Samples

  • Perform data analysis to support any area of Costco’s business
  • Build and train data models to solve business questions and aid decision making
  • Present findings and interpretations of the data analysis to stakeholders and end users
  • Identify areas where data analysis could reveal hidden value and work with management to explore it
  • Be an evangelist for the use of data science and machine learning in ways appropriate for the organization
  • Enthusiasm for helping Costco use data effectively to evaluate and improve business insights
  • Proven success record providing predictive analytics results for business decision-making
  • Comfortable working in both business and technical environments
  • Experience in building a variety of statistical and analytical models using modern tools
  • Strong logical thinking skills. A bility to think creatively in order to envision relationships between data
  • Excellent communication and interpersonal skill, interacting across multiple departments and levels within the Costco enterprise
  • Master’s degree or equivalent work experience in Data Science, Statistics, Analytics or similar discipline
  • Data science and analytics related certifications
  • At least 4 years professional experience working with business teams to provide advanced solutions
  • Proficiency with reporting & analytics tools (Tableau, SAP, SPSS, SQL queries)
  • Experience in delivering solutions using machine learning and optimization techniques and tools using R, Python
  • Experience of working through complete SDLC projects in iterative, Agile environment
146

Lead Analytics Analyst Resume Examples & Samples

  • Providing Index Independent Oversight
  • Providing Index methodology reviews across all asset classes
  • Back-testing and market data source management
  • Ensuring new index launch controls
  • Assessing usage
  • Managing index inventory
  • Providing regulatory guidance advisory for Deutsche Bank businesses
  • Monitoring index landscape
  • Managing relationships with third party data providers and Index Administrators
  • Closely collaborating with Deutsche Bank and non-Deutsche Bank Index owners and sponsors (Trading, Structuring, Sales, AM and WM)
  • Ensuring Benchmark Submission Methodology reviews including interest rate, Foreign Exchange and Credit benchmarks, implementation assessment and data analysis and benchmark reforms monitoring
  • Monitoring re-set risk through close collaboration with the Deutsche Bank India team and threshold excesses investigation with the Front Office
  • Providing ad-hoc research, insight and a deep understanding of the data underpinning the Bank’s participation in benchmarks and indices (e.g. calibration, hypothesis testing, European Union (EU) Benchmark directive consultation etc) 
  • Broad asset class / product knowledge, a specialisation in Equity, Commodities or Multi-asset beneficial
  • Direct or indirect experience in Indices / Benchmarks space. Prior background in Consulting or Market data provider services beneficial
  • Solid experience in operating with Python and large data sets in Excel / Access (VBA, SQL). SPSS, R, Mathematica or similar (beneficial)
  • Familiar with Bloomberg or Reuters usage as data sources
  • Demonstrates an interest in regulatory developments and reforms and adaptation to changes in regulation, legislation and auditing standards
  • An ambitious, creative, reliable and motivated team player to fit a dynamic and diverse environment
  • Ability to maintain attention to detail whilst working under pressure
  • Ability to effectively multi-task in a fast paced environment; prioritising workload and exploring different communication channels
  • Pro-active and passionate to work in hybrid structures (change the bank / run the bank)
  • Educated to Bachelor’s degree level in a quantitative discipline
  • Qualified Chartered Financial Analyst (CFA) beneficial
147

Analyst Labor Analytics Resume Examples & Samples

  • Bachelor’s degree in Business Management, Finance, Industrial Engineering or related fields, or equivalent education and experience
  • Must have excellent written, verbal and public presentation communication skills
  • Clear understanding of change management preferred. This should include participating in the development or implementation of solutions which require comprehensive shifts in operational practices
  • Ability to anticipate situations, tools needed, and obstacles through critical thinking and review of business performance
  • Ability to gather process information and make recommendations and decisions based on data and findings
  • Ability to listen effectively, process information, ask appropriate questions for clarification and execute tasks accordingly
  • Must have technical functional knowledge on BI strategy and tools and should be a primary liaison with IM stakeholders
  • Maintain a professional, neat and well-groomed appearance, adhering to MGM Resorts International standards
148

Platform Analytics Analyst Resume Examples & Samples

  • Perform deep-dive analyses and provide proactive and actionable insights based on the data/findings. Incorporate customer and competitive data to further support findings
  • Work with large datasets using data analysis tools such as SAS, Tableau, Tableau and SQL
  • Leverage customer and web analytics data to identify testing opportunities
  • Support cross-functional analytics projects as needed. Keep up-to-date with industry knowledge and best practices
  • Scope the impact of business and website changes / forecast the impact of future changes
  • Utilize existing automated processes and technical resources to analyze marketing campaigns designed & implemented through Campaign Management
  • Analyze site performance and develop KPI dashboards/ongoing reporting across multiple data sources. Produce real-time, daily, weekly, etc. performance reporting. Provide call-out observations and performance highlights through thoughtful and clear storylines
  • Conducts analyses on data, including site traffic, click navigations, page performance, shopping behavior, and purchase conversion
  • Creates regular reports on e-commerce and marketing performance, trends, and market specifics
  • Responsible for collecting, analyzing, and reporting data to measure the impact of online marketing vehicles and online features and services
  • Leverage additional competitive intelligence tools (e.g. ComScore, Hitwise) and use other external sources (e.g. Simmons, Forrester) to monitor the marketplace, competitive landscape and industry trends to constantly identify new marketing opportunities and / or potential threats
  • Participate in marketing and analytics technology implementations. Provide input tied to marketing analytics benefits or issues with how new tools and marketing technologies impact current reporting and trend analysis
  • Provide SME guidance to organization during acquisition, implementation and improvements of analytics solutions. Explore and institute best practice workarounds in the interim, pending acquisition of new tools
  • Provide reporting and analysis frameworks to QVC global teams to set up best practice reporting in new markets as viewership data becomes available
  • Bachelor’s degree in math/stats/engineering/business or related experience
  • 3+ years of experience in data analytics
  • Expert level proficiency in SQL or SAS programming skills
  • Technical skill set and experience with analytical tools: SAS, Tableau, SQL, Spotfire, databases (e.g., Teradata), R, Python
  • Superior quantitative and analytical skills
  • Understanding of database capabilities and experience of integrating, structuring and analyzing large amounts of data from diverse sources
  • Ability to synthesize qualitative and quantitative data to arrive at data driven conclusions and express them intuitively
  • Experience building API connections with digital analytics tool to assist in the automation of various processes
  • Experience with Business Intelligence platforms such as MicroStrategy, Cognos or SAP Business Objects
149

Analytics Analyst hrs Days Resume Examples & Samples

  • Developing requirements and delivering projects in a direct working relationship with administrative and clinical staff
  • Understanding of a wide range of interpretive analysis tools (e.g. trend analysis, spreadsheets, comparisons, graphs, detail charts, drill down)
  • Analytical problem-solving and conceptual skills
  • Excellent oral and written communication skills and the ability to communicate effectively
  • Working knowledge and ability to use Microsoft Office applications
150

Analyst Global Analytics Resume Examples & Samples

  • Deliver tangible benefits to through the innovative use of data to drive better client engagement, improve decision making and increase efficiency
  • Development of the customer value and returns model including the definition and implementation of a single profitability metric at a product, facility and customer level
  • Deliver high-quality, value-add data driven insights that drive improved decision making with the business and demonstrably moves the business forward and achieves commercial outcomes
151

Senior Analyst, OMS Analytics Resume Examples & Samples

  • 40% Defining and executing the KPIs
  • 30% Documenting current and defining new alerts/exceptions in our OMS process and recommending actions (process or system improvements)
  • 20% Analyzing the customer survey data and make recommendations for improvements
  • Demonstrated business/financial modeling capabilities with tools such as Excel and Access
152

Analyst, Target.com Analytics Resume Examples & Samples

  • Develop and maintain daily, weekly, monthly dashboards and reports. Participate in weekly business review meetings. Identify POS trends, Out-of-Stock issues, and opportunities for optimizing sales and margin
  • Collaborate with members of the Retail.com Sales team as well as Merchandising, Brand Marketing, and Ecommerce teams to provide analytic support to measure the performance of marketing and trade efforts. Guide end-users in identifying key performance indicators for their areas and then build appropriate reporting that provides insight into the performance of initiatives and approaches within each area
  • Collaborate with Ecommerce team to optimize trade/promotional investment with the customer. Coordinate development of analytics to enhance performance and drive awareness
  • Perform POS and Inventory data analysis to provide insights into category growth, promotional performance
  • Interpret complex customer & business data to develop an organized set of conclusions/recommendations
  • Support the continued enhancement and evolution of our analytics capabilities to a best-in-class level. Stay abreast of industry trends and innovations and drive new analytics initiatives that contribute to business goals
  • 1+ years of direct and hands-on Ecommerce experience providing solutions to a large global company
  • Experience applying an ecommerce lens to segment and category growth
  • Experience overlaying web experience data over POS Sales data, Invoice Sales data, and supply chain and operations metrics to provide a holistic program for online growth
  • Qualified candidates will have an understanding of analytical processes including but not limited to data management, forecasting, optimization, predictive modeling, and visualization
  • Experience with SQL and SAS (PC and/or mainframe) is a plus
  • Experience with Business Intelligence & reporting tools such as Tableau, Qlikview, Business Objects or Cognos is an asset
  • Advanced skills with all Microsoft Office Software
  • Conceptual thinker with proven analytical & problem-solving skills to see "big picture"
  • Knowledge of customer system – Merch IQ
153

Senior Analyst, Operational Analytics Resume Examples & Samples

  • Understand operations processes and business needs in order to provide a full reporting suite that will aid the operations teams in understanding day-to-day performance
  • Provide weekly and monthly management-level reports focused on actionable data
  • Drive deeper analysis in order to support a fast-growing business as it evolves as well as proactively identifying process improvements and pain points
  • Provide timely insights and analytical support to different internal business customers to support effective business decision-making
  • Provide continual insight into the relationship between the product and operations in order to help to drive down costs, drive up customer satisfaction, and close the feedback loop between operations and the rest of the business
  • Experience in an analytical role (ideal backgrounds include: a similar operations analyst role at a start-up, large corporation, management consulting or investment banking, marketing analyst role)
  • Operational experience an advantage
  • Bachelor’s degree in a technical or business related field
  • Expert ability with Excel and SQL
  • Ability to communicate complex concepts effectively with people at all levels and across multiple functions
  • Proactive not reactive, with ability to work independently in a fast-paced environment and a hands-on / can-do mind set
  • Combine creative and pragmatic use of insight and data with attention to detail
  • Confident with learning new tools and technologies
  • Small company experience with hands on / can-do mindset
  • Proactive not reactive, with ability to work independently in a fast-paced environment
154

Ct Analytics Analyst Resume Examples & Samples

  • Analyse and understand complicated finance product structures, legal documentation and UDT functionality
  • Remediate/Develop complex UDTs using proprietary systems, MS Access, SQL or Excel based off deal documentation or UDT functional requirements
  • Liaise with UDT end-user and/or TMG (legal) to ensure the UDT that fully reflects deal requirements and/or functional requirements
  • Ensure that deliverables are met
  • Provide support and QA to other team members
  • Maintain all relevant documentation and ensure compliance with the Corporate UDT policy
  • Assist with the development and implementation of process, risk management and audit controls
  • Occasionally, lead initiatives within the team
  • Train other team members and buddy up with new team members
  • University degree is preferred
  • 3+ years work experience within a financial institution preferably working with Structured Finance and conventional debt products
  • Advanced knowledge of Microsoft Access, SQL, VB / VBA, or similar database, query writing or programming experience is required; knowledge of SharePoint would be useful
  • Business Analysis experience is preferred
  • An understanding of Public Finance is preferred
  • A demonstrated ability to be self-motivated, take full ownership of projects and work independently is required
  • Must have exceptional analytical and organisational skills
  • Must be able to respond quickly to critical business needs, prioritise and manage multiple tasks
  • Attention to detail is vital, as is accuracy whilst working to meet tight deadlines
  • Required is an excellent understanding of written and spoken English
155

Advanced Analytics Analyst Resume Examples & Samples

  • Works with the client community in the definition of scope, requirements, processes, and procedures to ensure the success of projects. Develops working relationships with business area leaders and end users
  • A strong desire to work with a wide array of Big Data Technologies (MPP Databases, Hadoop, Cloud, NoSQL) while keeping up with others as they emerge
  • Experience with Public Clouds (AWS, Azure, Google, IBM, etc)
  • Understands and has experience with data security and privacy concerns
  • Possess a strong desire to work hands-on developing analytics and reporting solutions across a range of industries and functional disciplines
156

IS Analytics Analyst Resume Examples & Samples

  • Collaborate closely with internal customers, PMI stakeholders and vendors to support Business Intelligence services and project
  • Coordinate with the development teams and validate the developments and prepare the deployment
  • Having minimum 4 years of experience in information technology, systems, or services in preferable
  • Good knowledge on Microsoft Business Intelligence or SAP BW or other Business intelligence tools
157

Analytics & Modeling Senior Analyst Resume Examples & Samples

  • Work with Accenture sales team on pipeline prioritization and manage timelines to meet and exceed customer expectation
  • Lead Accenture’s internal shared services team of data analysts through data cleansing and analysis phases leading to prospect spend categorization and business case development
  • Manage tasks assigned to data analysts; maintain metrics on accuracy and timeliness; utilize data to improve performance and processes
  • Collaborate with internal solution stakeholders to build and maintain industry benchmarks, statistics and standard visuals to be used during the sales process
  • Assume ownership of Accenture’s supplier normalization product ensuring functionality and improvements
  • Manages workload for the global Reporting and Analytics team focused on sales support
  • Assume ownership of Accenture’s categorization schema becoming the expert on schema structure and values; Support internal Practice leaders with any categorization schema updates
  • Collaborate with internal practice leaders, solution design leaders, and prospect executives across the spend analytics process
  • Lead Financial Risk Reporting efforts understanding financial scores and assisting internal Accenture sourcing teams with interpretation of such scores
  • Act as liaison between Accenture and 3rd Party relationships as they relate to data subscriptions
  • Identify and execute key internal improvements across the centralized reporting team enhancing spend analytics processes
  • Minimum of 2 years working within Excel
  • Minimum of 2 years data analysis experience
  • Familiar with standard concepts, practices, and processes in the area of sourcing & procurement
  • Experience with reading and writing Structured Query Language (SQL)
  • Experience working with diverse, global teams
158

Senior Analyst, Multiplatform Analytics Resume Examples & Samples

  • Create and maintain weekly, monthly, and quarterly topline reports on traffic, video streaming and social engagement
  • Synthesize data findings to create recommendations for digital editorial teams to develop content & video strategy
  • Partner with linear research team to provide cross-platform reporting and insights, focusing on digital & social audience behavior in relation to TV show content
  • Be the expert on how our users engage with our content on digital and social platforms
  • Create quarterly deep-dive analyses on individual properties to monitor pacing to goal and changes in cross platform user behavior
  • Establish & maintain clear, insightful reporting on the key performance metrics & strategies
  • Required expertise in Omniture, Google Analytics, YouTube Analytics, Facebook Insights or other digital measurement tools
  • Experience with Nielsen a plus
  • Exposure to social/video measurement tools (Social bakers, Shareablee, Tubular, Crowdtangle)
  • Proficiency in Microsoft Office, Excel, Powerpoint
  • Able to work independently and with good judgment
  • Ability to prioritize multiple assignments to meet deadlines
  • Spanish language fluency preferred– verbal and written
  • Strong typing, proofreading and editing skills
159

Advanced Analytics Analyst Resume Examples & Samples

  • Champion the use of advanced analytical techniques throughout the commercial organization
  • Research advanced analytical tools and methods to meet the identified requirements for specific commercial projects
  • Support the organization with pricing analytics
  • Drive the delivery of major SGWS analytics initiatives
  • Develop statistical models using syndicated, depletion, shopper and consumer data. Collect, analyze, and review internal, retailer, and consumers datasets using advanced analytical and data visualization programs to provide insights and answer identified business questions
  • Provide advanced, value-added analytical and technical support to SGWS Senior Management and key strategic retail and supplier partners
  • Deliver special projects for SGWS commercial teams using analytical tools and methods
  • Support the identification and sharing of analytical best practices
  • Assist in managing Strategic Analytic tools/programs and data sets
  • Expertise in Microsoft Office Suite (Outlook, Excel, Word, Access, PowerPoint)
  • Advanced analytic, modeling, and reporting skills and experience
  • Experience in using data and analysis to identify business insights
  • Advanced knowledge of Nielsen or IRI scan data
  • Advanced knowledge of Nielsen or IRI household panel data
  • Advanced knowledge of retailer/sales data
  • Advanced knowledge of shopper and consumer data
  • Advanced knowledge of analytic, modeling, and/or data visualization tools (examples: Alteryx, Tableau, R, Mondrian)
  • Experience working in a fast-paced, data driven environment
  • Extremely detail oriented
  • Ability to work independently and autonomously
  • Bachelor’s of arts/Science Degree in finance, business, or analytical fields (mathematics, statistics, economics, etc)
160

Global Analytics Analyst Resume Examples & Samples

  • Leading and being responsible for projects – targeting for improvements and simplification across the organization
  • Work with process owners to identify simplification and growth opportunities for the OTR organization
  • Develop business cases
  • Work with process owners and all impacted functions to develop and implement optimized solution
  • Develop project strategy and plan
  • Set up and assess milestones
  • Manage the assigned projects
  • Control the business case and track budget
  • Set up training material
  • Induction and training of employees
  • Project controlling and coordination
  • Program testing and documentation
  • Set up/implement regularly and ad hoc Reports
  • Develop sufficient reporting
  • Leading, coaching, developing team members
  • Economics, commercial or IT background
  • 5+ years experience working in projects in areas of operations, supply chain, IT subjects within complex organisations
  • Excellent verbal and written communication skills in English/local language
  • Analytical and planning skills
  • Comprehensive Project management skills and experiences
  • External focus, entrepreneurial thinker: having the view on the broader picture
  • Ability to find added value solutions for customers
  • High computer skills: Excel, MS-Office, Oracle
  • High level of flexibility and passion/engagement
  • Team working skills
  • Coaching & Leadership skills
  • Knowledge and understanding of all Environmental Health Policies (including but not limited to GE Healthcare EHS Policies, GE Healthcare Fleet Rules, etc.) and operate within them to ensure that no company policy or US / Int’l Law is broken
  • Drive continuous improvement on all related processes, work instructions, and procedures to ensure ongoing standardization and simplification of the Quality Management System
  • Intercultural competences; diplomatic behaviour
  • “Change Agent” experience
161

Performance Analytics Analyst Resume Examples & Samples

  • Bachelor’s degree in Business or other quantitative field or equivalent experience
  • Minimum 2-3 years’ experience using NICE (IEX) applications (i.e., Smartsync, WFM, Agent Webstation) or other WFM planning systems (Aspect, Verint, etc.) and experience in planning, implementing, utilizing, and supporting workforce management system in contact center environment
  • Experience in a multi-skill, multi-site call/contact center operation is required
  • Strong technical documentation and problem solving skills
  • Exceptional knowledge of Microsoft Office, particularly Excel, Visio, and PowerPoint creating templates, graphical representations of various key performance indicators
  • Strong communication skills with the ability to facilitate groups through collective decision making
  • Ability to evaluate requirements and make sound recommendations
  • Handle multiple initiatives simultaneously in a fast paced environment
  • Possess a strong work ethic, desire to support teammates, and high level of professionalism
162

Analyst, SWP Workforce Analytics Resume Examples & Samples

  • Responsible for collection and validation of workforce data from HR systems and other internal and external data sources to develop SWP workforce reports (ex: headcount, diversity, attrition)
  • Provides support for SWP workforce optimization projects and programs, analytic tools, and development of new reports and dashboards
  • Conducts quantitative analysis using various HR data sources to deliver insights around the workforce to internal HR customers and other business units as requested
  • Identifies key workforce trends and issues, designs and executes required analysis and develops insights
  • Promotes and leverages SWP library of tools and methods appropriately applying them to clients’ business problems
  • Supports continuous improvement efforts by making recommendations for relevant SWP processes, tools and methodologies; participates in key process improvement activities
  • Support all Strategic Workforce Planning activities within assigned area and work closely with teammates to support other areas and ensure alignment
163

Analytics Analyst Resume Examples & Samples

  • Graduate or Post-graduate degree in: Statistics/Economics/Econometrics/Computer Science/Engineering/Mathematics/Business (with a strong quantitative background)
  • 2 - 6 years of professional experience with a reputed analytics firm in the field of business intelligence and/or Advanced Analytics
  • Industry experience in Financial Services/Telecom/Retail a plus
  • Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions
  • Adept in forecasting, regression analysis, and segmentation work
  • Ability to act autonomously, bringing structure and organization to work
  • Understanding of basic financial and business terminology
164

Business Analytics Analyst Resume Examples & Samples

  • Strong curiosity and initiative
  • Proficient in MS Office, Advanced Excel User (lookups, pivot tables, conditional functions)
  • Ability to effectively communicate complex concepts
  • Ability to manage multiple tasks simultaneously and prioritize effectively
  • Able to approach analysis from multiple perspectives (both detailed and high level)
  • Familiar with statistical reasoning
  • Familiar with Experiment design
  • Familiar with Microstrategy
  • Familiar with a statistical programming language or similar
  • Experience with Data Visualization
165

Analyst, Invoice Processing & Analytics Resume Examples & Samples

  • Research of Intransit data and establish ongoing processes or controls to reduce volume of aging receipts
  • Initiate and facilitate partnership with A/P processing team to create, enhance or implement more efficient methods for all aspects of the department
  • Collaboration with Internal and External contacts on Issue resolution and creation of reporting metrics
  • Ongoing verbal and written communication with vendors, divisional contacts and other A/P areas
  • Support Invoice Processing and Special Processing within the IP area as needed
  • Regular, dependable attendance & punctuality
  • Minimum 2 years of Accounts Payable or Accounting experience, preferably in a retail environment
  • High level understanding of merchant, logistics, accounting and vendor roles
  • Ability to solve problems in new ways
  • Strong MS Excel or other analytical tools experience required
166

Fnctional & Indstry Analytics Senior Analyst Resume Examples & Samples

  • Partner with client teams to understand business problems, develop client proposals and technical approach documents
  • Lead large-scale fraud analytics engagements and interpret analytical insights to clients in a business context that drives value
  • Integrate and develop various advanced analytical methods to detect and prevent fraudulent behavior within client environments
  • Minimum of 1-2 years of development experience with analytic tools and languages such as SAS, R, Python, SPSS, and SQL
  • Familiarity with the application of data mining, forecasting and predictive analytics to real world fraud problems
  • A proven track record in the development and implementation of analytics projects, models and solutions
  • Proficient in visualization analytics technologies
  • Experience with Project Management methods and tools
  • Knowledge of full life cycle development for advanced analytic projects
  • Ability to work around a dynamic business and travel schedule (up to 80% as necessary)
167

Global Costing & Analytics Analyst, AVP Resume Examples & Samples

  • Coordinate with ABC model development team to ensure reporting requirements are incorporated
  • A proven track record with at least 2 plus years of relevant experience in costing and financial reporting and analytics
  • Awareness of financial and analytical and reporting tools - Proficiency in MS Access and MS Excel
  • Excellent organizational abilities
  • Minimum Prior Work Experience Requirements – 3 plus years experience
168

Global Costing & Analytics Analyst Resume Examples & Samples

  • Defining business metrics that enables desired reporting and analytics
  • Developing a set of processes for efficiently gathering and consolidating data required for reporting
  • 1 plus years of relevant experience, financial services preferred
  • Awareness of financial and analytical and reporting tools
  • Proficiency in MS Access and MS Excel
  • 1 plus years’ experience
169

Senior Business Analytics Analyst Resume Examples & Samples

  • Bachelors degree from an accredited college/university preferably in Engineering, Business, Economics/Finance, Information Systems or equivalent work experience
  • Experience in partnering with business users and acting as a liaison between business and technical teams on new TM1/BI projects
  • Knowledge of Predictive Analytics and SPSS
  • Experience facilitating multiple projects
  • Exemplary data management skills
  • Familiarity with self-service analytical tools
  • Demonstrated ability to deliver results and achieve goals
  • 3-5 years as a functional TM1 10.X / Cognos / OLAP resource/lead
  • Ability to define problems, collect data, establish facts, and draw well-supported conclusions
  • Manage business user relationships and expectations
  • Creating reference documentation on the usage of TM1 and best practices for leveraging TM1 features
  • Excellent problem solving, analytical and critical thinking skills
  • Familiarity with tools such as Hyperion and ERP systems such as PeopleSoft
  • Advanced SQL query experience, familiarity with Data Warehousing and Data Marts
  • Knowledge of Master Data Management and Hierarchy synchronization best practice
  • Safety Awareness
  • Valuing Inclusion Diversity
  • Facilitating Change
  • Initiating Action
  • Technical / Professional Knowledge and Skills
  • Advanced Analytics
170

Analytics Analyst Resume Examples & Samples

  • Bachelor’s or Master’s degree majoring in quantitative focused disciplines such as Business Analytics, Computer Science, Mathematics and Statistics
  • 2-5 years of experience in dealing with big data with exposure to complex statistical and advanced analytical modeling techniques; candidates with less exposure but with a deep aptitude in analytics can be considered for Junior Analytics Analyst (Junior Data Analyst/Scientist equivalent) roles
  • Proficiency in data management and statistical platforms such as SQL, SPSS, SAS, R, Python, Hadoop, etc
  • Superior analytical and problem-solving skills paired with strong business conceptual knowledge
  • Ability to link insights and develop clear data driven business solutions
  • Excellent communication skills, can comfortably translate complex data and insights to mid-senior level clients and business audience
  • Understanding of local Southeast Asia business operations and working culture
171

Credit Analytics Analyst Resume Examples & Samples

  • Coordinate and prepare the quarterly Impaired Loan Report, including: the collection of all required information from Commercial Loan Account Officers as well Consumer Loan Administrators, verifying the accuracy and integrity of information supplied, and producing and analyzing all results
  • Research, review and analyze quarterly portfolio reports including: CRE concentrations and Credit Policy and Risk Factor exceptions for Senior Management as well as the regulators. Summarize and highlight all results
  • On an as needed basis, design and develop forms and spreadsheets for the Chief Credit Officer as well as the underwriting department
  • Prepare semi-annual FAS 5 analysis as required by the OCC and outside accountants
  • Advanced skill set in Microsoft Excel, Word and PowerPoint
  • Strong analytical skills with excellent problem solving skills
  • Strong organization skills with attention to details
  • Ability to work effectively and develop relationships with various departments throughout the Bank, as well as Regulators and outside accountants
  • Ability to work efficiently and accurately in a fast paced environment, ensuring all timely deadlines are met
  • Ability to manage and effectively prioritize multiple deliveries simultaneously
  • Knowledge of commercial lending
  • Working knowledge of Microsoft Visual Basic Editor preferred
  • Bachelors Degree in business, finance or accounting and six months financial reporting work experience or an internship experience at a financial institution as a financial or credit analyst
  • One year of financial reporting or commercial credit analyst experience preferred
172

Analyst E-commerce Analytics Resume Examples & Samples

  • Work closely with partners in product management, marketing and merchandising teams to identify and answer important business and product questions
  • Build self-service dashboards through BI tools
  • Using strong analytics skills, business acumen and attention to quality to provide data and analysis to assist in solving complex business problems on web and mobile
  • Communicate insights and suggest improvements based on data and observed trends in order to advance reporting capabilities
  • Present analytic output in order to communicate with clients to inform strategic and tactical decision making and guide business decisions
  • Bachelor's degree (mathematics, computer science, statistics or quantitative discipline) with minimum 2 years of relevant ecommerce work experience
  • Proficient in statistics
  • Proficient in SQL and possess good working knowledge of Excel and PowerPoint
  • Strong analytical and critical thinking skills; ability to break down complex problems
  • Experience solving analytical problems using quantitative approaches
  • Experience with web analytics tools such as Adobe Analytics, Omniture, SiteCatalyst and/or Google Analytics
  • Familiarity with A/B and multivariate testing methodology
  • Demonstrated strong proficiency at an advanced level in SQL, Microsoft Excel and PowerPoint
  • Proven ability to self-check work to ensure results are error-free
  • Excellent data visualization and communication skills, including the ability to clearly and effectively communicate and present findings to stakeholders at all levels
173

Senior Analyst, Ratings Analytics Resume Examples & Samples

  • Daily reporting (overnight reports, accuracy of MyEvents, etc.)
  • Program Analyses (originals, tentpoles, key acquisitions)
  • Weekly reporting (bullets, daypart tracking, competitive, etc.)
  • Quarterly Wrap-up
  • Historical Tracking
  • Time-Shifted Viewing Reports
  • Digital/Social Media Reporting
  • Minimum of 2 years of related experience, preferably at a content provider
  • Fluency in Nielsen systems and media math a must
  • Demonstrated ability to multi-task within a fast-paced, high-volume environment
  • Strong organizational & time management skills
  • A proactive self-starter who can immediately recognize tasks and execute accordingly
174

Analyst, Insight Analytics Resume Examples & Samples

  • Queries data to conduct ad hoc analyses of metrics
  • Analyzes results for a (narrowly) defined scope to quantify the competitive performance of the business
  • Sets up/runs models with substantial support from experienced analysts
  • Serves as point person for moderate complexity projects
  • Contributes to the improvement and development of instructions and training materials
  • May begin creating and updating training materials
  • Bachelor’s Degree plus 2-4 years of experience, or Master's Degree with no professional experience, or equivalent
  • Proficient in Excel, PowerPoint, SAS/SQL coding, and statistical software packages (SAS, Emblem)
  • Must have good planning, analytical, decision-making and communication skills. Knowledge of data sources, tools and common statistical principals
  • Understands how actions tie to systems capabilities and flow through to our financials/business drivers
175

Analyst, Site Analytics Resume Examples & Samples

  • Compile data across various sources, both internal and external, for special and ad-hoc analysis using advanced analytics tools and methods
  • Analyze, synthesize and effectively communicate results to a wide range of audiences
  • Lead cross-functional projects as a Subject Matter Expert, coach and mentor more junior team members
  • Ability to clearly communicate complex information in an easily digestible manner to a broad audience
  • Must be positive, tactful, organized and a team player
  • Curious and creative with an aptitude for problem solving
  • 2-4 years in a position dealing with data, reporting, and analysis
  • Exposure to Web Analytics Tools such as Adobe, Google Analytics, Webtrends, etc
  • Exposure to Business Intelligence Tools such as Business Objects, Tableau or like technology
  • SQL exp a plus
  • Proficient with MS Office Suite, advanced Excel
  • Experience with marketing attribution systems or manual techniques for analyzing the impact of multiple touch points is highly desired
176

Senior Product Analytics Analyst Resume Examples & Samples

  • Deliver reporting and strategic insights through advanced analytics and manual data extractions to drive a significant change in customer experience
  • Lead deep-dive analysis and investigations to better understand an end to end customer experience including touchpoints, cross-channel behaviors, drivers, preferences and segmentation
  • Built predictive models to help design future customer strategies
  • Drive new customer experience reporting, metrics, and data visualizations
  • Drive resolution and prioritization of Ad-hoc requests across cross-functional partners
  • Ability to conduct detailed root-cause analyses, integrate multiple data sets, generate insights and provide innovative business solutions
  • Strong hands-on experience with extracting multiple data-sets, writing complex SQL queries & building Excel tables
  • Conduct complex business modeling using statistical methods & tools including SAS
  • Experience with BI tools including Tableau to drive visualizations & industry best practice reporting
  • Working knowledge of Google Analytics and website/mobile data collection (tagging implementation and data extraction)
  • Experience with translating business requirements and technical requirements
  • Expert knowledge of automated systems in a production/operations environment
  • Excellent time-management skills and organizational agility, including the ability to effectively balance multiple deliverables, cross-functional partners and priorities under tight timelines
  • Requires a BA/BS, Graduate degree preferred
  • Minimum of 3 years detailed analytics experience with digital, mobile, contact center, operational, or consumer data
  • SAS and Tableau experience required (R, Python, HIVE a plus)
177

Clinops Analytics Analyst Resume Examples & Samples

  • Leverages diverse data sources from across ClinOps and uses cutting-edge analytical tools and approaches to inform strategy of the entire ClinOps organization; collects and processes ClinOps data and enables calculation of KPIs that lend actionable insight into processes and activities across the breadth of ClinOps
  • Devises reporting dashboards that summarize key aspects of various processes, and enable stakeholders across ClinOps to identify issues and improve performance
  • Assists in ensuring a robust and consistent source of data according to agreed upon global and local standards
  • Maintains a focused continuous improvement culture by identifying and executing strategies and priorities to enable the ClinOps Analytics group to deliver value and enhance overall operational effectiveness
  • Actively remains current with industry standards, trends, and competitive intelligence on analytics best practices
  • Maintains a close working relationship with all other functions in ClinOps, Global Analytics team, and the US HP Analytics team to assure a closely coordinated program of activities based on common objectives and focusing on value, quality and operational efficiencies
  • Assists in ensuring key data is accessible and reported to support resource management, forecasting, and allocation decisions within US Clinical Operations in conjunction with the Vendor Management team and leadership
  • Work closely with local/global clinical systems teams to ensure reporting requirements are supported
  • Supports ClinOps Analytics for global/local interdisciplinary projects and working groups
  • Ensures commitment to customer-centric behaviors: provides visibility to trial teams and broader Clinical Operations into ongoing work through up-to-date tracking; maintains high degree of responsiveness to both internal and external requests; resolve issues by working collaboratively across Clinical Operations and other groups within BI
  • Assists with ClinOps-wide training on data and analytics needs in partnership with the Training and Compliance group
  • Create a performance-based team culture with clear accountability and a sense of urgency for achieving results. Lead (recruit, hire, coach, develop, motivate, manage and monitor performance) managers and/or professionals in department specific knowledge, process and procedures. Set job expectations, provide regular feedback, conduct timely MAG Plan reviews, identify performance challenges, oversee the creation and monitor the effectiveness of action plans
  • Experience with Lean/Six Sigma preferred
  • Demonstrated project management experience preferred
178

Market Risk Analytics Analyst Resume Examples & Samples

  • Development and enhancement of market risk models (VaR, Stressed VaR, IRC, CRM and RNIV) to ensure ongoing appropriateness
  • Involvement in key deliverables, both for internal and external requirements
  • Ongoing monitoring and evaluation of market risk models including backtesting, RNIV framework etc
  • An excellent academic background, including an advanced degree in a quantitative discipline, such as economics, finance, statistics/mathematics, sciences or engineering
  • Proactive with the ability to work as both part of a close-knit team and independently
  • Strong communication skills for written, graphical and verbal presentations
  • Strong Excel VBA skills
  • Ability to program in R\Python\Java
179

Business Analytics Analyst Resume Examples & Samples

  • ROI analysis on various consultant incentive programs
  • Gross margin analysis
  • Consultant behavior analysis
  • Product promotion analysis
  • Assist FP&A team with the annual budget and quarterly forecast
  • Ability to retrieve and extract data from unstructured data sources in order to compile and synthesize key data
  • Ability to efficiently develop thorough and intuitive analyses, and draw and communicate reasonable, accurate, and defendable conclusions
  • Ability to identify opportunities for cost savings / profit enhancement and efficiency improvements
  • Accurate and timely maintenance of budgets and other analyses
  • Ability to support other members of the team and other departments as needed
  • 5 or more years of experience in a business/financial analyst or equivalent role
  • Proficiency in SQL
  • Proficiency in MS Access, Tableau, Business Objects or other BI Reporting tools is a plus
  • Experience in a Direct Sales/Multi-Level-Marketing company is a plus
  • Ability to work independently and deliver innovation and high quality solutions
  • Bachelor’s Degree in a related field or equivalent experience
180

DT Analytics Analyst Resume Examples & Samples

  • Should have experience on SQL server 2005/2008/2012 with writing SQL Scripts and procedures and detailed knowledge as SQL Developer
  • Should have experience with some of the following technologies: SSIS, TWS & SSRS
  • Should be able to execute Unit Testing (Plan, Prepare & Execute). Should have idea about configuration management tools like TortoiseSVN, TFS and VSS
  • Should have experience on windows systems. Unix exp would be an added advantage
  • Should have background on working with Oracle / DB2 systems
  • Should have exp. On Tableau reporting platform
  • Exp. on .Net would be Good asset
  • Significant experience in a single complex development environment or across multiple platforms
  • Effective communications with all levels of internal and external customers and other team members
  • Should be able to manage his / her team working on Vairous .Net / reporting Platforms
  • Handle the work intakes and drive them to closure
  • Should be able to work with resources on their Development plan and drive the innovation culture
  • Should have managed the team working on different Domains and should be able to provide work directions to them
  • Exp. Range in the given Skill Set
  • 6 years
  • Excellent analytical, problem solving and troubleshooting abilities
  • Participate in walk through, inspection, review & onshore group meetings
  • Ensure compliance to Project defined standards & processes
  • Participate in the design descussions and suggest the project design
  • Create and deliver the Tableau / SSRS reports as suggested by onshore
  • Deliver the SSIS packages and configure the schedulers as per project requirement
  • Own the deliveries from offshore for the assigned project
  • Well versed in Participate in walk through, inspection, review & onshore group meetings
  • Able to interpret the given technical design into application code
  • Convert the functional design given by onshore into the technical design and implement the changes are suggested
  • Own the development environment for the project under execution
  • Should be able to execute Unit Testing (Plan, Prepare & Execute)
  • Communicate and interact with appropriate areas on problems, changes and enhancements that may impact data, workflow and /or functionality within SDLC
181

Senior IT DT Analytics Analyst Resume Examples & Samples

  • Architect/Design Data Analytic and solutions
  • Develop technical specifications and design documents
  • Develop, enhance, integrate Data Warehouses/Data Marts and Business Intelligence Solutions
  • Deploy and Maintain Data Analytic Solutions
  • Undergraduate Degree or Equivalent Experience
  • 1+ years of Professional IT experience in an enterprise environment
  • 1+ years working with multiple SQL platforms (Microsoft SQL, Teradata, etc.)
  • 1+ years of experience working with Big Data Technologies
  • Knowledge / Experience working with Statistical Analysis
  • Knowledge / Experience working with Talend or other Big Data enterprise tools
182

Senior Analyst, Loyalty Analytics Resume Examples & Samples

  • Contribute to the success of the overall company including revenue, same-store sales, net income, and restaurant unit growth
  • Conduct data mining, segmentation, and predictive modeling on guest behavioral data to influence loyalty strategy and optimize 1:1 targeting
  • Analyze and report on loyalty campaign performance, developing insights and recommendations to optimize future campaigns
  • Play a key role in loyalty and guest data management, helping to evolve capabilities and processes
  • Leverage sales, guest, financial, and operational data to conduct deep dive analyses to help the business thoroughly understand key sales trends, drivers, and opportunities
  • Assemble, analyze, and synthesize data from multiple sources (transactional, digital, behavioral)
  • Measure the financial and guest behavior impact of tests and programs
  • Design and develop credible and robust KPI dashboards that help management understand and measure sales and guest performance
  • Conduct advanced data mining on check-detail and guest behavioral data
  • Develop key insights based on analytical results and present to internal business teams
  • Partner with consumer insight team members in development of integrated results summaries, insights, and recommendations
  • Partner with Marketing, Operations, and IT teams to streamline processes
  • Skilled in extracting, manipulating, and transforming raw data into meaningful information
  • Advanced predictive modeling and data mining skills using multi-dimensional transactional datasets
  • Deep understanding of database capabilities and experience with integrating, structuring and analyzing large amounts of data from diverse sources
  • Ability to present complex data in a clear and concise fashion in tables, charts, and graphs
  • Emerging ability to derive key business insights and make strategic recommendations from complex information
  • Emerging knowledge of guest/loyalty marketing and advertising principles
  • Solid written and verbal communication skills for interfacing with individuals with less technical background
  • Exceptionally organized and skilled in time management with excellent attention to detail
  • Ability to derive key business insights from complex information
  • BA/BS in Mathematics, Statistics, Finance, Economics, or related quantitative discipline
  • 4+ years’ experience in advanced analytics roles
  • 2+ years’ experience in loyalty analytics with a focus on advanced predictive modeling and segmentation
  • Experience with advanced querying, statistical analysis and modeling tools (SAS, R, SQL, Alteryx, etc.)
  • Experience with database tools and systems such as SQL Server PDW, Teradata
  • Experience with business intelligence tools such as Microsoft Power BI, Tableau, SAP, or related tools
  • Proficient in Microsoft Office applications (PowerPoint, Word, OneNote)
183

Analytics Analyst Trainee Resume Examples & Samples

  • Student (upperclassman) - statistics, math, economics/econometrics, IT or other quantitative decision sciences
  • VBA and SQL knowledge as a must
  • Good English as a must
  • Analytical thinking and fluency in analytical tools
  • Outspoken, clear communication skills
  • Basic presentation skills
  • Planning, managing and measuring work
  • Collect key performance insights & syndicated data from CEE markets on a monthly basis to include in global performance management process
  • Preparation of standardized outputs/presentations based on internal and external (IMS, Nielsen) data for CEE markets
  • Administration of CEE market share database
  • Work with CEE markets to understand and solve some data issues
  • Conduct external/internal data analysis leveraging best-in-class reporting & analysis standards (includes ad hoc)
  • Usage of best-in-class analytical techniques to deliver recommendations to business decisions
  • Pro-actively identify business opportunities which may benefit the GSK’s performance through analytical insight
  • Seek innovation in analytical tools and techniques to gain competitive advantage
  • To continually learn new analytical skills/techniques to maximize GSK competitiveness
184

Analyst, Optimization Analytics Resume Examples & Samples

  • Collaborating with research, user experience, analytics partners to enhance the test design process
  • Documenting and communicating findings and insights to stakeholders across the Marketing
  • Owning the experiment and knowledge sharing and communication across Marketing experiments
  • Share
185

Workforce Analytics Analyst Resume Examples & Samples

  • Oversees and maintains the Workforce Management platform (configurations for skills, call & multi-channel routing, associates, historical trends, anomalies, etc.) Multi-channel includes calls (Inbound & Outbound), Email and Chat
  • Conducts weekly/monthly meetings focused on reviewing forecasts, capacity planning, shrinkage review, KPI results, etc. throughout all levels of leadership in SBS
  • Responsible for assisting WFM Director/Manager in training and supporting new WFM team members. This includes training of the WFM platform, policy and procedures and all additional related systems
  • Proven workforce management experience and strong knowledge of call center operations
  • Strong Excel skills, and solid working knowledge of Word, PowerPoint
  • Demonstrated effective verbal and written communication skills
186

Analyst, Audience Analytics Resume Examples & Samples

  • Develop methodology and create new products
  • Test new concepts and integrate into production process
  • This person will analyze big data, diagnose potential issues, design process improvements, and collaborate across different functional teams
  • Build custom solutions to meet market needs for audience measurement reporting
  • Participate in ongoing research and evaluation of new technologies
  • Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system
  • Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data
  • At least 2-4 years of PROFESSIONAL (not internships or academic) experience in data analysis and problem solving with big data
  • The nature of the teams dynamics will require an individual that is able to work closely in a collaborative role with other team members, as well as complete tasks individually as assigned
187

IRM Analytics Analyst Resume Examples & Samples

  • As a member of the IRM Analytics Team, primary responsibilities include
  • Excellent organizational skills, ability to multitask and prioritize
  • Experience of investment banking, corporate banking or risk Analyst experience
  • Undergraduate degree
188

Workforce Analytics & Strat Analyst Resume Examples & Samples

  • Experience with advanced statistical analyses including predictive modeling
  • Experience analyzing and interpreting data, demographic trends, business trends, and apply knowledge for business recommendations
  • Experience with statistical software, i.e. R, Software Package for Social Science (SPSS), or Statistical Analysis System (SAS) or related
  • Experience with creating and delivering director level and above communications including PowerPoint presentations that tell the story of analysis insights
  • Experience in management consulting
  • Exposure to Tableau or other data visualization tools
  • Experience developing dashboards, metrics, and scorecards
  • Understanding of Human Resources data, systems, and principles
  • B.A./B.S. degree or equivalent experience
189

Credit Analytics Analyst Resume Examples & Samples

  • Research, review and analyze quarterly portfolio reports including: CRE concentrations and Credit Policy and Risk Appetite exceptions for Senior Management as well as the regulators. Summarize and highlight all results
  • Create and prepare reports and analysis for the Bank's Credit Risk Committee. Prepare reports and analysis on the lending markets that the Bank participates in
  • Assist in creating various on demands Credit Risk reports and analyses in response to requests from senior Risk management staff, internal / external auditors, regulatory examiners and Management directives. Gather, cleanse, validate and analyze data to facilitate appropriate decision making
  • Monitor real-time credit risk dashboards and trending analysis to identify potential areas of concern. Track key risk indicators including but not limited to probability of default (PD), loss given default (LGD), expected losses, concentration limits and the Bank's capital and other key loan performance ratios
  • Tactical relationship with vendors such as Sageworks, Moodys, CEIS and others based on needs
190

Senior Analytics Analyst Resume Examples & Samples

  • Working as part of the analytics team in conjunction with our wider actuarial business colleagues
  • Developing loss cost, profitability, risk triaging and risk segmentation models and tools
  • Working with our colleagues to deploy models to end users
  • Take an active role in upskilling of the wider team in technical matters
  • Lead projects throughout their cycle: data work, reconciliation, problem articulation, modelling, communication, delivery, monitoring
  • Autonomously developing and researching tailored modelling solutions spanning traditional statistical, actuarial and data science fields
  • Bachelor's Degree required in related field of study: Math, Stats, Applied Science. Master’s/PhD preferred
  • Actuarial qualifications a plus
  • 3-5 plus years of experience in a technical capacity within the financial sector, specific knowledge of insurance a plus
  • Detailed understanding of, and the ability to apply traditional statistical methods and more modern techniques to big, small and messy data
  • Models and methods: linear, GLM’s, multilevel models, HMC, bagging, boosting, neural nets, regularization, Bayesian inference, and regression/classification, unsupervised learning, bootstrapping, cross validation
  • Advanced data preparation and visualization skills
  • Advanced and flexible programming skills in R/Python or similar
  • Strong communication skills with the ability to convey technical concepts to management and other functional areas
191

Asc-analytics & Intelligence Analyst Resume Examples & Samples

  • 20 years Army or Joint All Source Intelligence experience
  • Demonstrated experience as a staff member at Division or higher level, with experience as a primary staff officer, primary staff directorate NCOIC or primary staff directorate warrant officer preferred
  • Analytical Control Element OIC or NCOIC
  • MEL 4, WOSSE or SLC /SMA
192

Asc-analytics & Intelligence Analyst Resume Examples & Samples

  • 12-15 years Army or Joint All Source Intelligence experience
  • Experience with all-source intelligence processes, data evaluation, and analysis- Ability to deliver global situational awareness in support of planning, synchronization, decision making and execution of client missions using automated systems
  • Working knowledge of the Army’s five paragraph operations order
  • Ability to manage research and coordination for projects
  • At least 8 years of experience with military Plans and Operations processes
  • Experience working with and maintaining databases
  • MICCC, WOAC or ALC
193

Senior Analyst, IVR Analytics & Optimization Resume Examples & Samples

  • Creating and distributing clear and succinct IVR program dashboards which measure key performance indicators against benchmarks and success rates of tasks. Data may be distributed across multiple reporting platforms and requires accurate and timely collection, presentation and communication
  • Monitoring and analyzing complex and diverse data systems to identify opportunities, potential issues and initiate and/or support research and recommendations for new and/or improved processes, policies and solutions to make banking easier for our customers, create capacity and operational efficiencies and drive an improved customer experience by
  • Identifying actionable insights from data to drive continuous improvement and increase customer satisfaction
  • Analyzing IVR channel and CCC business performance metrics including key performance indicators for relevant trends and business insights
  • Quantifying and measuring business benefits to support IVR operations, projects and strategic initiatives
  • Preparing comprehensive business findings supported by data to obtain support and approval of recommendations
  • Maintaining expertise as it relates to analytics, tools and reporting technological advancements
  • Contributing and supporting the development of business plans and solutions tailored to anticipated changes in customer needs and preferences and reduce customer and employee effort based on industry, market and competitive trends and an in-depth understanding of the operating environment and geographical differences between sites
  • Contributing to the development of business cases, concept papers, scope documents and business requirements by providing analytics to support and quantify business benefits aligned and consistent with CCC strategy and Focus Priorities of the Bank
  • Representing the CCC on cross-channel projects and initiatives, collaborating with partners and Business Lines and effectively communicating and negotiating when required, providing consultation and service to various stakeholders
  • Expert knowledge of MS Excel, VBA writing, PowerPoint and Word
  • Working knowledge of CCC desktop tools
  • Thorough understanding of voice technology and processes (i.e. Natural Language, Telephony, Call Routing etc.)
  • Thorough knowledge of the Bank’s business lines, products, processes and technology solutions
  • Thorough knowledge of competitor, industry and market trends, new and emerging technologies
  • Working knowledge of project management methodologies and experience with projects and business case development
  • Previous experience with Speech Analytics an asset
194

Advanced Resources Center Business Analytics Analyst Resume Examples & Samples

  • Maintaining the monthly data output of all ARC engagement metrics, and liaising with the WM analytics team to maintain and build Tableau dashboards for management
  • Build new and innovate dashboards for both senior management and ARC specialists that will: 1) lead to better ARC penetration of UHNW clients across the Firm, and 2) drive ARC business planning, initiatives, and client meetings. Includes building ARC-wide views, and also regional and advisor-level views of the metrics
  • Explore prospecting tools across the Firm and building a dashboard/database of UHNW prospect situations for ARC management team to proactively engage with
  • Liaise with ARC teams to maintain data integrity and ensure accuracy across various logging and CRM mechanisms (e.g., the 3D requests from advisors/CSAs match the logs kept by various ARC specialists)
  • Bachelor’s degree or equivalent education
  • Advanced knowledge of Excel and intermediate knowledge of Tableau a plus
195

Senior Analyst, Ops Analytics Resume Examples & Samples

  • Proficient in Microsoft office
  • Support of Warehouse Operations teams and systems
  • Facilitating cGMP training and pack out training to warehouse employees based on client specifications
  • Project work for both internal and external clients
  • Attending and participating in client, internal and corporate audits
  • LMS training administrator
  • Collaboration with CRM, IT, CO and NB teams as well as client to provide testing support
196

Load Analytics Analyst Resume Examples & Samples

  • Support Retail Project initiatives
  • Execute established test scenarios
  • Assist with the development and improvement of test scenarios
  • Operate as a team member with all employees of ENGIE North America NA staff
  • Comply with all ENGIE North America policies and procedures
  • 2-5 years of energy industry experience required
197

Business Analytics Analyst Resume Examples & Samples

  • Work with business leaders, to identify and prioritize high value actions that can be taken or improved using data-driven decisions
  • 2-5 years of experience in one or more of the following fields: strategy consulting, economic analysis, predictive analytics, marketing analytics
  • Strong team player who places the best interests of the organization above personal objectives
198

Analytics Analyst Resume Examples & Samples

  • Drive innovation and science in the Data Quality domain, leveraging the data harvested to correlate, quantify and guide remediation activities through models, Creation of models to measure Data Quality without Data Quality rules
  • Work collaboratively with project managers, developers, and end-users to deliver working solutions and analytics in an Agile and Iterative manner
  • Direct involvement in the end-to-end system development lifecycle (SDLC), from solution requirements, gathering and validation activities, through to production deployment
  • Creation of models and reports providing interpretation and insight into business data
  • Create visualisation solutions for presentation to and use by senior management
  • Experience with Extract, Transform and Load (ETL) tools like Pentaho, Informatica Data Quality, RapidMiner
  • Experience with visualisation tools such as Qliksense, Arcadia Data
  • Interest in statistics or machine learning experience
  • Experience with programming and data languages such as Python, SQL, Java desirable
  • Experience working in a project/programme environment
  • End-to-end system development lifecycle (SDLC) experience
  • Experience working with the Hadoop platform desirable
  • Experience with Big data tools like Hive, Impala, Spark and Pig desirable
  • Educated to degree level (or overseas equivalent)
199

Analytics Analyst Resume Examples & Samples

  • Build, deploy, maintain and scale marketing solutions that reduce complexity and cost
  • Partner and team with technology solution providers and marketing agencies to deliver the best solution meeting the needs of our clients
  • Support docs preparation for invoice processing Offer our clients end to end solutions and services Organising project resource management (staffing, tools, housing)
200

Client Analytics Analyst Resume Examples & Samples

  • Bachelor’s degree in Finance, Business Administration, Information Systems or related field
  • 5-8 years of relevant business experience in Financial Planning & Analysis or similar area
  • Strong knowledge of Microsoft office suite, especially Excel
  • Knowledge of Mercer’s operating model
  • Experience working on projects, specifically related to the development, communication and management to project plans with defined timelines and deliverables
  • Experience working with data and analytics tools such as Hyperion Interactive Reporting, Tableau, HFM and Microstrategy
  • Some familiarity with technical concepts such as relational databases
201

Credit Analytics Analyst Resume Examples & Samples

  • Coordinate information gathering and support preparation of the quarterly Impaired Loan Report, including: the collection of all required information from internal departments and use of the Bank's automated vendor-based system that supports the loan impairment and ALLL processes
  • Support preparation of the quarterly ALLL process, including gathering information to calculate specific qualitative factor credit metrics and other related activities
  • Use available internal databases and report tools to analyze credit quality data and develop appropriate periodic reports to be presented to: Senior Management, Board of Directors and bank regulators
  • Work on assigned projects, under the direction of the Credit Analytics Manager
  • Intermediate skill set in Microsoft Excel, Word and PowerPoint
  • Highly analytical with excellent problem solving skills
  • Ability to work effectively and develop relationships with various departments throughout the Bank
  • Ability to work efficiently and accurately in a fast paced environment, ensuring all timely deadlines are met. in a timely manner
  • Bachelor's Degree with a major or substantial course work involving business, finance, accounting, economics or information systems and one year experience that may include commercial lending, credit analysis (consumer or commercial lending), accounting related work, commercial loan servicing, or commercial loan work-out or collections
  • Exposure to bank regulatory reporting or completion of a formal Credit Training Program preferred
202

Analytics Analyst Resume Examples & Samples

  • Hands on analytics and application of data science techniques, such as statistical modelling and predictive analysis, to provide transformative proposals
  • Creation of models, reports and visualisation solutions providing interpretation and insight into business data and processes
  • Issue identification and analysis techniques, such as pattern analysis and root cause analysis, to help identify why issues occur and propose solutions
  • Work with other analysts to develop and implement data analytics procedures and best practices
  • Quality assurance of deliverables
  • Promote innovation and collaboration
203

Business Performance & Analytics Analyst Resume Examples & Samples

  • Experienced Microsoft Office user, Advanced Excel including knowledge of macros and pivot tables, Access and PowerPoint
  • Proven experience in data entry, report generation, analysis and implementation for management reports
  • Knowledge of SAP and Access as well as other analytical tools
  • Previous experience of working within a customer care environment focused on business improvements; Lean, OpEx etc
  • Extensive analytical skills, accuracy and attention to detail required
  • Proactive contributor and Customer focused
  • Looks outside the box for solutions, improvements, finding new best practices and implementing them etc
  • Experience in Customer Service & Health Care industry an advantage
  • Works effectively and efficiently within a complex matrix organisation
  • Works well & collaborates within a pan-European Business Performance & Analytics (BP&A) team environment
  • Displays high level of professional competency and models Medtronic behaviours based on our values
204

Business Analytics Analyst Resume Examples & Samples

  • Support in the defining of requirements and technical design for Business Analytics projects
  • Develop reports, dashboards, and other Business Analytics deliverables using Excel and other tools to meet business needs
  • Data discovery, data mining and deriving insights from analysis of data
  • Participate in maintaining and improving Business Analytics report development practices, standards, procedures and controls
  • Proactively develop new Business Analytics solutions as necessary to meet the needs of a fast-moving Retail business
  • Continually look for ways to improve the way we do things in Finance
205

Senior Analyst, Operational Analytics Resume Examples & Samples

  • Use SAS to analyze data from different sources and provide key actionable insights
  • Collaborate with process improvement teams to understand their processes, data and tools in order to leverage the data for advanced analysis
  • Act as a key analytics SME for the process improvement teams and make recommendations for data acquisition and/or analysis requirements and fulfilment for complex process improvement projects
  • Provide support on technical and system management
  • Minimum 2 years in a data analytics role preferably within the telecommunications industry
  • Strong interpersonal and collaboration skills with a proven ability to create value for internal clients
  • Intermediate knowledge of BI tools like Excel, Tableau, Microsoft BI
  • Advanced SAS and SQL programming/query skills and in-depth knowledge of SAS software
  • In-depth knowledge of data warehousing tools and software (Oracle, SQL Server, Unix)
  • Bachelor’s degree in Statistics or Computer Science or equivalent
206

Business Analytics Analyst Resume Examples & Samples

  • Manage the standardized reporting rhythm of published business performance metrics and divisional Key Performance Indicators
  • Maintain, enhance, and refine existing analytic solutions, automating and providing for self-service whenever possible
  • Provide daily decision making support in response to ad-hoc requests from the business, identifying or creating new analytic solutions and reports where appropriate
  • Lead data-driven growth projects with measurable outcomes
  • Research, analyze, and identify key data-driven insights and clearly articulate these “nuggets” in the form of actionable recommendations for business leadership. Dig past the data to take into consideration marketplace trends, competitive threats and other influencers of the projects outcome
  • Prepare predictive sales outcomes, produce affinity selling tactics, and proactively identify customer, product and/or market erosion
  • Identify additional data sources to be leveraged to improve accuracy
  • Become an expert with sales reporting, Point-of-Sale (POS) data, Customer Relationship Management (CRM) information, and other data sources
  • Consolidate data from disconnected sources in order to provide greater analytic insight
  • Primarily U.S. based, however expect expansion into global information needs
  • Minimum of two (2) years of combined experience as an analyst with data-driven sales and/or marketing analytics
  • Advanced degree in Business Analytics, Data Analytics, Data Science, and/or Economics
  • Experience with Microsoft Excel (e.g. VLookup, Sumifs, Subtotals, conditional formatting, formulas, macros, advanced charting, pivot tables and reporting)
  • Experience using and/or developing Business Objects Web Intelligence reports
  • Experience with Formal Fact-Based Selling Skills, Category Management and/or Business Certification
  • Ability to identify, researching and correlating external economic indicators
  • Experience with SAP and the SAP Business Intelligence products (Business Objects Web Intelligence reporting, Universe development, Design Studio, Lumira, Explorer, Crystal Reports)
  • Experience with non-SAP BI and Analytic tools such as “R”, IBM Modeler, QlikView, MiniTab, Tableau, and others
  • Experience with 3M’s key data sources (Teradata, GEDW, HANA, BW, SQL Server, etc)
  • Highly proficient with MS-Office tools including PowerPoint, Word, Access, SharePoint and OneNote
207

Senior Analytics Analyst Resume Examples & Samples

  • Provides detailed and at times highly complex financial analysis for a financial function or a business, typically exercising a strong understanding of the business to determine the best method for achieving objectives
  • Provides project management / leadership during implementation of business-wide programs
  • Ensures the accuracy and timeliness of financial reporting and analysis to the business
208

Advanced Analytics Analyst Resume Examples & Samples

  • Respond to business requests in a timely manner
  • Proven success record providing analytics results for business decision-making
  • Some experience in building a variety of statistical and analytical models using modern tools
  • Degree or equivalent work experience in Data Science, Statistics, Analytics or similar discipline
  • Data science and data analytics related certifications
  • Experience using R and/or Python
209

Advanced Analytics Analyst Senior Resume Examples & Samples

  • Requires Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, cognitive science, economics, or operations research
  • 3-5 years direct experience programming large, multi-source datasets with SAS required
  • 3-5 years in health care setting; or any combination of education and experience, which would provide an equivalent background
  • Intermediate to Advanced expertise with software such as SAS Stat, SAS ETS, SAS Enterprise Miner or equivalents
  • Experience with Teradata, SQL, SQL Server, or equivalent
  • Proven ability to design modeling studies
  • Experience with data models, addressing data quality issues in study design, constructing robust and efficient analytical data sets
  • Significant experience in healthcare related field strongly preferred
  • Proven ability to present meaningful results to a business audience
  • Ability to participate collaboratively in a team tasked to produce complex analyses on a rigorous schedule
  • Strong written and verbal communications skills and the ability to present to large multi-disciplinary audiences on a regular basis
210

Credit Analytics Analyst Resume Examples & Samples

  • Support preparation of the ALLL process including Qualitative Factor credit metrics, ALLL loan portfolio review and reconciliation to Bank General ledger, review of ALLL loss rates, using the Bank's automated vendor-based system
  • Support preparation of periodic analyses supporting the ALLL process including: annual Loss Emergence Period (LEP) study and annual Criticized Loan study
  • Prepare ad-hoc reports using automated Report Writer systems to support requests from senior management, Board of Directors and bank regulators
  • Support preparation of the quarterly Impaired Loan Report as required, using the Bank's automated vendor-based system that supports the loan impairment and ALLL processes
  • Assist with development and implementation of systems projects to enhance Credit Analytics capabilities
  • Bank regulatory reporting experience that should include: allowance for loan losses (ALLL), credit concentrations or asset quality monitoring
  • Bachelor's Degree with a major or substantial course work involving business, finance, accounting, economics or information systems and a minimum of two years experience as either: financial, portfolio or credit analyst working in a Commercial Banking environment OR Bachelor's Degree and completion of Valley's formal credit training program and minimum of two years experience as a commercial underwriter, loan review analyst or credit analytics analyst
  • Completion of a formal Bank credit training program preferred
  • Exposure to statistical analysis including correlations, probabilities of default or loss given default preferred
  • Exposure to bank regulatory reporting preferred
211

Performance Analytics Analyst Resume Examples & Samples

  • Strong Fixed Income experience and understanding of Analytics
  • Knowledge and experience with Performance Attribution and Contribution
  • Working knowledge of SQL and creating / debugging Stored Procedures
  • Familiar with Data Warehouse concepts and accessing it using SQL
  • Experience with reporting tools, such as SSRS/Microsoft Reporting Services, Crystal Reporting, and/or Tableau
  • Previous experience with Buy Side with Finance and Accounting knowledge
212

Expense Analytics Analyst Resume Examples & Samples

  • Proven track record with at least 4 years of relevant work experience in financial services
  • Proactive and ability to work independently or as a team player, with the ability to develop strong relationships with numerous partners
  • Ability to multitask, work under pressure in a fast paced environment, and be flexible
  • Strong written and oral communication skills at all organizational levels
213

Human Capital Analytics Analyst Resume Examples & Samples

  • Produce actionable, proactive metrics that drive forecasting capabilities and strategic insights
  • Develop documentation and support materials by collaborating with key HR business stakeholders
  • Provide recommendations on further data and research to validate findings and design reports to key stakeholders summarizing the data and key findings
  • Handle other special projects as assigned
  • Proficiency creating optimized SQL statements required