Analytics Specialist Resume Samples

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N Legros

Nicolette

Legros

2641 Schuppe Lakes

Phoenix

+1 (555) 792 4245

2641 Schuppe Lakes

Phoenix

Phone

p +1 (555) 792 4245

Experience Experience

Houston, TX

Analytics Specialist

Houston, TX

MacGyver and Sons

Houston, TX

Analytics Specialist

Developing and undertaking high level management information analysis reporting
Develops and applies domain knowledge of Vanguard’s businesses and data
Manage company’s global liquidity, working capital, daily cash, MMF investments, deposit accounts, and time deposits
Actively manage analytics dashboard setup, client facing and internal, to properly visualize campaign performance data
Work with IT data architects and enterprise teams to establish data governance rules and processes
Work with IT/development to validate and cleanse information to maintain data integrity
Continuing development of knowledge and expertise in relevant business, information management; and quality control disciplines

Houston, TX

Digital Analytics Specialist

Houston, TX

Becker Group

Houston, TX

Digital Analytics Specialist

Work closely with development team in defining, implementing, and testing analytics code on new and existing pages
Provide thought leadership in the integration of industry standard metrics into existing framework
Willingness to work outside the strict job description parameters, thinking creatively about how to use digital product analytics to improve business outcomes
Managing some of the day-to-day tasks that are a regular part of digital analytics work
Assist with the ongoing maintenance of the Foresee VOC platform and reporting
Help shape department KPIs and develop ongoing executive reporting
Manages all aspects of institutional reports including reporting automation, dashboard layout, visualization, exports, graphs, insights, and delivery methods

present

Boston, MA

Risk Modeling & Analytics Specialist

Boston, MA

Block, Daniel and Nader

present

Boston, MA

Risk Modeling & Analytics Specialist

present

Interact and discuss with tool users, developers, senior owners and governance bodies
Perform related outcome, impact and benchmark analyses
Developing a benchmark model (according to best industry or academic practice)
Provide input for ad hoc analyses
Developing and maintaining of models within their area of responsibility and in accordance with industry standards and practices
Interaction and discussion with stakeholders (model developer as well as senior model owner and model governance bodies)
Support the development of macro-economic scenarios and the evolution of specific risk factors

Education Education

Bachelor’s Degree in Financial Mathematics

DePaul University

Bachelor’s Degree in Financial Mathematics

Skills Skills

Proficient analytical and problem-solving skills. Basic knowledge of reporting technology trends
Strong technical skills and the ability to understand ESPN’s data structure
Ability to understand basic legal contracts and corporate structures
Ability to quickly grasp complex business problems, develop a logical/rational framework for investigating the problems
Ability to quickly absorb and deploy new technical concepts and tools
Ability to present results and information using standard templates and formats
Strong planning and organizational skills
Experience with Population Health or Public Health. Familiarity with PHM programs including knowledge of HEDIS, PQRS, MIPS, ACOs, CINs etc
Knowledge of Microsoft office, data analytics and tools associated with data analytics
Previous knowledge of data analytics gained either from the agency or client side

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Senior Analytics Specialist Resume Examples & Samples

Manage analytic projects and customer expectations
Deliver presentations on analytic topics and results
Analyze gamer behavior and patterns to drive engagement strategies
Understand complex data attributes and constraints to develop efficient predictive/data mining models
Engage in predictive model development, deployment, and performance tracking and validation
Develop robust statistical models to support immediate and long-term business decisions, and provide recommendations to satisfy business needs
Work with game developers to identify key performance metrics and benchmarks related to user behavior, user segmentation, and user retention
Work closely with the live game teams to optimize play balance, game economies, and to identify and close out exploits
Mine current game data and user trends to inform the production of the next generation of products. Evaluate and quantify the effects of ongoing changes to games through statistical methods
Effectively communicate with other members of the team to build and implement statistical models
BA/BS degree required with technical focus (e.g. mathematics, computer science, physics)
MS or PhD degree preferred
Proficient use of statistical analysis tools, such as R, SAS, SPSS, Python, KNIME
Working knowledge of SQL and data transformation
Knowledge of advanced analysis techniques, such as machine learning and data visualizations
Experience managing analytic projects
Experience managing customer expectations, building customer relationships and presenting results to non-analytic customers
Experience building and validating statistical models with large datasets
Experience with statistical methods like Linear Regression, Logistic Regression, CART, Principle Component Analysis, Time Series, K-means Clustering, Treenet, etc
Experience with as well as a working knowledge of SQL Proven ability to clearly translate statistical modeling results to business stake holders
Strong understanding of the realities of working with large, rich datasets
Avid gamer with a strong interest and knowledge of video games
Previous experience in the gaming industry is not required

Analytics Specialist Resume Examples & Samples

Researching, designing and implementing efficiency improvements to our analytics platform
Developing/improving GUIs for pricing models
Ad hoc analysis for specific research projects
Assisting with analysis of risk profiles of new trades or existing portfolios
Comfort with mathematical concepts, particularly calculus and probability theory
Programming experience, ideally with C++. Experience in C# and F# is a plus
Some background in use of Matlab/Mathematica/SAS/R or another math-focused programming environment
Ability to work and communicate effectively as part of a team spread across a range of geographical locations
A demonstrated ability to deliver outstanding solutions to difficult problems
Experience in the finance sector would be an advantage
Very good English and strong Excel skills are a must

Analytics Specialist Resume Examples & Samples

In depth knowledge of Derivatives or Structured Products valuations, analysis, and P&L
Understanding business process and tools and working with users in Structured Notes valuation
Partaking and analyzing PnL attribution analysis
Developing and undertaking high level management information analysis reporting
Confidently liaising with senior stakeholders
Delivering daily results and following up outstanding issues
Requesting and reporting problems and potential solution to the project team
Managing requests from multiple participants
Systems development and testing

Risk Modeling & Analytics Specialist Resume Examples & Samples

Maintenance and further development of stress testing methodologies, e.g. in the areas of Funding Risk, Pension Risk, Country Risk, and Operational Risk
Being contact point to regulators across the world, in particular FINMA in Switzerland
Analyze diverse portfolios and risks under stressed conditions
Provide input for ad hoc analyses
Support the development of macro-economic scenarios and the evolution of specific risk factors

Analytics Specialist Resume Examples & Samples

An undergraduate degree with honours and possibly a masters/PhD degree in a quantitative field such as Computer Science, Engineering, Applied Mathematics, or Physics or have commercial experience at an equivalent level
Knowledge of at least one major programming language (C++, C#, Java) or F#
An interest in finance
The ability to communicate effectively in English

Risk Modeling & Analytics Specialist Resume Examples & Samples

Developing and maintaining of models within their area of responsibility and in accordance with industry standards and practices
Reviewing, validating and testing the models
Model Risk control, monitoring, and reporting
Producing relevant documentations (processes, reviews etc.)
Helping to ensure, together with the relevant functions and model owners, that the models comply with UBS’ internal requirements
Helping to ensure that UBS’s approach to modeling risks is in line with appropriate industry practice
Syndicating ideas, problems, solutions within the team and with other stakeholders
Understanding the products, processes, systems and policies of UBS, as well as the regulatory requirements and relevant trends
Risk data mapping and analysis

Digital Analytics Specialist Resume Examples & Samples

Collect/monitor digital channel metrics to deliver insightful analyses through the creation and management of performance dashboards, scorecards and ad hoc analyses
Work closely with business partners to proactively identify opportunities and testing strategies to optimize online initiatives
Help shape department KPIs and develop ongoing executive reporting
Actively participate in data governance to improve the consistency and interpretation of information shared across departments
Assist with the ongoing maintenance of the Foresee VOC platform and reporting
Investigate data anomalies that may be indicative of interruptions to the customer experience, then communicate those findings appropriately across the organization
Bachelor’s degree in Marketing (with digital focus), Mathematics, Statistics, or equivalent work experience
1-3 years of experience with web analytics software such as Adobe Analytics, Omniture Site Catalyst, Discover, Insight, Google Analytics, SAS or other analytics tools
1-3 years of experience using Microsoft Excel to create data visualizations, perform analysis, and communicate the meaning of data
An in-depth, ever-growing interest in internet technologies, current online trends, and marketing tactics (search, social, email, etc)
1 year of experience with basic web development technologies such as Javascript tagging and HTML

Analytics Specialist Resume Examples & Samples

Practical knowledge and application of predictive modelling and statistical methods – such as R and/or SAS
Use of data visualization and reporting systems such as Tableau or Spotfire
3+ years work experience in analytics, running projects from beginning to end, delivering results to senior level leaders, training teams on tools developed
Experience in the professional services, data supplier or consulting environment
Using relational database, including the development of SQL queries to extract and manage large volumes of data for use in creating dashboards, data visualizations, and home grown models or analyses
Have proven extensive relevant experience in understanding data analysis and research functions
Proven track record of working with a senior stakeholder population

Analytics Specialist Resume Examples & Samples

Draft analysis of distribution activities to the Global Asset Management Executive Committee, Distribution Management Committee and regional organization, in order to illustrate progress and results
Regularly review, update and timely submission of distribution pipeline activities
Collaborate with different functions within GlAM to establish an accepted view on distribution data and improve quality standard of distribution data
Collaborate with IT and PMO to implement necessary reporting into IT systems
Collaborate with Finance to ensure quality of financial data
University / Business School degree or equivalent education, ideally direction Asset
Management or Financial Services
Min. 3-5 years of experience in financial services with deep business understanding
Analytical and/or financial background
Excellent MS Excel & Access skills as well as PowerPoint
Good knowledge of Database systems and IT flair
Aptitude for conceptual work
Very good communication skills, including English skills, both verbally and in writing

Analytics Specialist Resume Examples & Samples

Support Landing Systems operational excellence and material optimization to overall company goals
Developing, reporting, analytics, and end user tools to convey and distribute KPIs and reports to Landing Systems and UTAS
Support the over sight of Landing Systems master data and PFEP enforcement
Serve as a member of the rapid response team (RRT) to the Landing Systems operations and materials organizations
Support with metric development, transparency, and consistency for all Landing Systems operational sites
Interact with business leadership, operations, IT, supply chain, and finance
The above activities will provide overall support to sites in critical change scenarios and help those that are underperforming meet KPIs and company objectives

Senior Analytics Specialist Resume Examples & Samples

Demonstrated ability to regularly produce ideas on areas of opportunity within performance analytics for ESPN
The ability to thrive under deadlines
The ability to work both independently on a project with little supervision and as part of a team
Strong verbal and presentation skills
Help set the direction of the department by partnering with Analytics leadership to set project priorities
Identify the key components in these complex formulas and turn them into language that allows them to be readily used in storytelling across ESPN platforms
Work collaboratively through conflicts and gain support from internal project partners and stakeholders with various interests and priorities
Support the department’s training plan by contributing to the education of other members of the SIG, as well as other members of the Production department, on Production Analytics storytelling tools
Identify trends and react to news stories on a daily basis, using the new tools the Analytics Team develops, other products available to the Stats & Information team and tools available in the marketplace
Analyze third-party statistics providers with an eye toward recommending potential deals, and collaborate with third-party vendors to produce metrics for ESPN
Use strategic analytical approaches and techniques using data to answer sports questions
Five years’ experience with sports analytics, or any equivalent combination of education and experience that provides the applicant with the knowledge, skills and ability to perform the job
Two years’ experience constructing algorithms to explain or predict performance
Two years’ experience using predictive modeling, statistics, trend analysis, and other data analysis techniques
Two years’ experience in a programming language such as R, PL/SQL or Python
Strong knowledge in using SQL to query and modify data from databases
A passion for sports and statistics; candidates need to have a working knowledge of players, teams and the rules of the games
Strong Microsoft Excel and Access skills
Effective communication and leadership skills
A thorough knowledge of sports statistical analysis in the marketplace
Strong sports knowledge, both historical and current
Statistics, engineering, advanced mathematics or econometrics degree
Experience in statistical software such as R, STATA, SAS, etc
Experience turning sports analytics into storylines
Experience in digital and/or television sports production
Experience writing about sports analytics

Analytics Specialist Resume Examples & Samples

Establishing relationships with business stakeholders within GIA to meet the operational and analytics needs of the organization
Providing leadership and driving day-to-day implementation of our analytics strategy
Advising GIA stakeholders on analytical options to address their specific needs, including discussing potential analytical approaches to problems, associated costs and trade-offs, and recommendations
Designing, coordinating, and implementing analytical business and technology solutions to support audit and innovation initiatives

Risk Modeling & Analytics Specialist Resume Examples & Samples

Assessment of the model's conceptual soundness and methodology
Checking appropriateness of assumptions, parameters, model calibrations, etc
Developing a benchmark model (according to best industry or academic practice)
Model risk assessment
Documentation of the assessment
Interaction and discussion with stakeholders (model developer as well as senior model owner and model governance bodies)
Involvement in risk model development, covering a wide variety of model types and portfolios
Sharing modeling knowledge across business divisions (center of expertise)

Wealth Bench Portfolio Risk Analytics Specialist Resume Examples & Samples

Highly motivated professional with problem solving ability, and personal accountability
Excellent and efficient communication (written and oral), and listening skills
Solid understanding of investment vehicles and performance
Series 7 and 63
Possess thorough knowledge of financial markets
Knowledge of portfolio performance or risk measurement statistics and tools

Analytics Specialist Resume Examples & Samples

Senior Management Team
CAM Business Managers
External Professional Contacts
Strong knowledge of Statistical Analysis Software such as SAS EG and SAS EM
Strong knowledge of SQL, WebFocus (Scripting), Excel, VBA, PowerPoint, Word, Microsoft Office
Knowledge of statistical modeling concepts (linear and/or logistic regression)
Knowledge of risk management and loss management concepts and principles preferred
Knowledge of Collections/Receivables principles and procedures preferred

Risk Analytics Specialist Resume Examples & Samples

Capturing customer requirements, advising and assisting Implementation teams in the provision of design and implementation requirements
Engage with banks to initiate or enrich conversations around value based risk management IBM’s risk suite
Support the product, functional and implementation specific aspects of the bid strategy as well as assisting with responses to Request For Information (RFIs). Preparation of proposals and presenting solutions to clients
Conduct pre-sales presentations and workshops
Work closely with the sales team to meet and exceed company revenue targets: prospects and solution qualification, content and product expert, including fostering relationships with client personnel at appropriate levels
Working with the Market and Credit Risk Analytic Business Lines, Credit Risk, and Balance Sheet Risk Management teams to help identify market new tendency and functional requirements. To help define the market selling propositions, key product messages, and competitor differentiators
Responsible for ensuring proposed solutions are achievable, profitable and realistic given client requirements
Ensuring that relevant information from each pre-sales engagement is fed back to the Business Line to be used in product management decisions
Understand Algorithmics, IBM Risk Analytics, and its service lines and actively assess/present ways to serve clients. Develop and maintain long-term client relationships and networks. Develop relationships with team members across Algorithmics, IBM Risk Analytics, to serve client needs
At least 2 years experience in experience in risk management, both banking and trading book products and various types of financial instruments
At least 2 years experience in experience in developing, implementing or presenting risk solutions (including Counterparty credit risk) risk rating and measurements systems, economic capital, ICAAP, stress testing
At least 4 years experience in experience in risk management, both banking and trading book products and various types of financial instruments
At least 4 years experience in experience in developing, implementing or presenting risk solutions (including Counterparty credit risk) risk rating and measurements systems, economic capital, ICAAP, stress testing
At least 4 years experience in experience in Credit Risk modeling for standalone and portfolio risk with awareness of extreme loss modeling

Risk Analytics Specialist Resume Examples & Samples

Driving the execution of projects reviews and/or risk assessments
Evaluating the adequacy and effectiveness of controls
Developing risk analytics to monitor changes in the control environment
Assessing the residual and emerging risks of the lines of business and enterprise
Providing subject matter consulting regarding risk management to lines of business/control groups
Providing guidance and make recommendations to business units regarding risk mitigation solutions
Performing regular analysis on key risk limits and business metrics to extract risk intelligence (e.g., themes, trends, predictive outcomes)
Maintaining the Enterprise risk and controls catalogs
Gathering business and data requirements and advising on potential risk solutions
Creating and maintaining risk data standards and requirements
Identifying and integrating internal and external risk data sources
Managing the relationship with key internal (e.g., Information Security, R&D, and CTO) and external service providers (e.g., RSA) in delivering risk solutions
5+ years of experience in Risk Management and/or Information Technology
BS in Finance, Economics, Information Systems, or related discipline; MS/MBA degree preferred
In-depth understanding of risk, internal controls and root cause analysis
Strong analytical, quantitative and problem-solving skills
Ability to simplify difficult concepts and challenges by thinking analytically
Ability to work in a fast paced environment, building and maintain a network of contacts, and coordinating with a large number of stakeholders
Enthusiastic, self-motivated, and effective under pressure
Must be organized and focused to drive meaningful results
Strong leadership skills to guide organizational change and partner with both senior management and staff

Analytics Specialist Resume Examples & Samples

Use advanced mathematics and statistical modeling to formulate sports performance metrics
Educate other members of the Stats & Info Group, as well as other members of the Production department, on Production Analytics storytelling tools
Collaborate with the Analytics Content Programmer and ESPN technology partners to write scripts, queries and basic code to transform data into automated metrics across our digital platforms and internal research tools
Two years’ experience with sports analytics, or any equivalent combination of education and experience that provides the applicant with the knowledge, skills and ability to perform the job
Demonstrated ability to construct algorithms to explain or predict performance
Demonstrated ability to use predictive modeling, statistics, trend analysis, and other data analysis techniques
Ability to help develop data warehouses by identifying the appropriate categories and granularity of content
Full availability for this position, which will include nights, weekends and holidays
Demonstrated ability to ensure accuracy of content
Strong Microsoft Excel or Access skills
Competency with demonstrated experience in a programming language such as R, PL/SQL, VBA, or Python
A knowledge of sports statistical analysis in the marketplace

Risk Modeling & Analytics Specialist Resume Examples & Samples

Project-based independent model assessments in line with the UBS model governance policy, supplementary documents, and the EPS/CCAR instructions, notably
Checking appropriateness of assumptions, parameters, model calibrations, qualitative or expert adjustments, etc
Outcome, impact, or benchmark analyses and developing a benchmark model (as appropriate)
Model risk assessment, including model robustness analysis, identification of limitations, and their assessment
Documentation of the assessment to required standards
Sharing modeling knowledge across UBS Group

Analytics Specialist Resume Examples & Samples

Talk to Account Executives and customers to determine their gains analysis needs and tailor results to better achieve account goals
Prepare gains analyses for district customers
Proofread gains analysis projects before email delivery to internal field sales and implementation personnel
Deliver gains analyses by telephone and Lync to customers as requested
Partner with the internal teams (Services, Research, and Legal), as required, to develop and manage the workflow surrounding the completion of data sharing agreements with customers
This role is home-based and can be located anywhere
This is a full-time, temp opportunity, payrolled through a third party vendor
WFH

Risk Modeling & Analytics Specialist Resume Examples & Samples

Project-based independent assessment which typically includes
Master’s or PhD degree in financial mathematics, statistics, econometrics, or a related quantitative field
Ability to apply quantitative techniques to solve practical problems
Experience in risk modelling, model validation and/or in the area of treasury risk is a plus (e.g., models for liquidity and funding, ALM, interest rate risk in the banking book)
Understanding of financial accounting
Co-operativeness and team-orientation, while being able to organize yourself and complete tasks independently to high quality standards
Solid knowledge of econometric models and statistical software (e.g., Matlab, R, SAS, STATA)
Very good communication skills and the ability to explain technical topics clearly and intuitively, both written and orally
Fluency in English, in oral and written form

Competitive Offer Insight & Analytics Specialist Resume Examples & Samples

Lead development of key analyses, budget and forecasts to better optimize competitive offer spend
Analyze and interpret campaign results to derive insights for cross-functional distribution
Assess and predict competitive trends in order to better size opportunities in following years and provide insight and recommendations
Undergraduate Degree in Business or Commerce
Experience in a strategy or analytics role
Experience in budget forecasting
Quick learner with strong analytical and problem solving skills
Excellent interpersonal skills and the ability to work well within team
Understanding of financial reports and able to work with business cases
Strong presentation skills and an ability to effectively communicate
Advanced proficiency both MS Excel and Power Point
Energetic self-starter who thrives in a face-paced environment
Experience in analytics, reporting, and strategy planning
Strong negotiation skills and the ability to negotiate and influence others
Working knowledge of SAS or basic SQL coding

Analytics Specialist Resume Examples & Samples

Ongoing data analysis associated with rules management within CIBC’s fraud mitigation systems. Thereby, implementing new strategies and continuous improvement to existing strategies, associated with fraud monitoring systems, in order to mitigate fraud losses and decrease customer impacts/irritants
Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices
Perform in-depth analysis of research information for the purpose of identifying opportunities, developing proposals associated with CIBC’s fraud mitigation systems
Conduct considerably complex feasibility studies and cost/benefit analysis to clearly depict possible fraud mitigation rule options and recommended courses of action
Apply considerably complex analytical theories and methods to fraud data analysis with respect to defining, testing rules, and implementing rules based on false positive, customer impact and fraud prevention
Generate detailed analysis and considers potential opportunities by analyzing the efficiency of CIBC’s fraud mitigation programs/strategies
Generate performance metrics and results associated with fraud mitigation rules and overall rule strategies
Maintenance of various fraud mitigation systems, across different line’s of business, including the updating of fraud prevention strategies within the production systems

Digital Analytics Specialist Resume Examples & Samples

Bachelors degree or equivalent work experience required; Business or Marketing preferred
Demonstrated project management skills; takes direction well and clearly possesses the ability to translate strategy into tactical deliverables
Ability to prioritize work effectively and manage multiple projects at any given time
Proficient in usage of a Excel, Google Analytics, Microsoft Office suite, Radian6, WebTrends, and reporting software

IAM Identity Analytics Specialist Resume Examples & Samples

Develops the consistent effective production of identity data reporting to provide management with appropriate analytics to certify or remediate end user access
Provides security identity management reporting that displays role analytics aligned to an individual end user’s access based on their role or line of business. Reports on the alignment with IT access management policies as well as EY’s risk or compliance directives to identify fraud, threats to corporate intelligence and unauthorized access to secured information
Analyses data to review IT systems in context of segregation of duty policies, audit policies and other controls. Identifies and escalates variances in processes that impact end user account provisioning and de-provisioning as required
Provides reporting that considers a “system of checks and balances” approach to the management and reconciliation of data used within IT and escalates to management any variances between IT and EY’s overall IAM Operations functions
Manifests analytical and problem solving abilities to review complex and conflicting issues within identity management. Handles ambiguity as well as executes on multiple and shifting priorities to provide IAM related reporting solutions that have integrity and are operationally feasible for execution
Maintains a working knowledge of the core business service lines and operating environment within IT to provide advanced level analyses, support reporting needs or to identify improvement opportunities such as automation or inconsistent global policies related to IAM products usage and operating procedures
Maintains a working knowledge of data management tools and methodology to support standardization, automation or consolidation of identity data input and information
Maintains a strong knowledge of the Active Directory, Outlook/Exchange and Oracle Identity Manager technologies related to a user or group provisioning and identity life cycle management
Able to create and execute ad hoc or reusable agents, scripts and reports developed using various EY and third party technologies
Able to complete root cause analysis to identify, confirm and address recurring incidents/problems
Approximately 5 to 7 years of security administration experience in support of IT products or security administration
At least 2 years prior experience in support of user identities, Active Directory scripting or data analytics preferred
Working knowledge of large IT infrastructures and organization operations

Analytics Specialist Resume Examples & Samples

Basic metrics and reporting experience
Proficient analytical and problem-solving skills. Basic knowledge of reporting technology trends
Ability to communicate moderately complex statistical concepts and output to non-experts in both a written and verbal manner
Ability to present results and information using standard templates and formats
High school diploma or equivalent required
Bachelor’s degree in Business, Computer Science, Statistics or related field required
Experience of 0-3 years of data analysis required
Basic metrics and reporting experience required
Report writing experience in a SaaS environment preferred
Experience participating on global projects a plus
Familiarity with Microsoft Office Suite, specifically: Excel, Access, PowerPoint. Experience with Business Intelligence tools such as Qlikview a plus
Experience with Microsoft SQL Server a plus
Experience with reporting in Workday, iCIMS, and/or Cornerstone a plus

Temp Digital Analytics Specialist Resume Examples & Samples

Serve as a point-person for stakeholders as the primary source of information relating to digital analytics and related technologies
Work with stakeholders to understand business objectives, define key performance indicators based on those objectives, and provide relevant data, including analysis and insights
Regularly assemble data from various disparate sources (from multiple analytics suites, developer portals, etc) into consolidated reports/dashboards. Develop methodologies for aggregating results from various programs and campaigns
Design & deliver regular scheduled and ad hoc reports on the performance of both Smithsonian Earth and Smithsonian Channel in a clear format for a variety of audiences to help stakeholders determine what is working well and what areas need improvement. Ensure reports are timely and user-friendly, and inclusive of key insights and actionable recommendations to optimize performance
Effectively communicate and ‘translate’ quantitative findings (storytelling with data), make and defend meaningful conclusions and recommendations to inform product and editorial decisions, identify and interpret trends and relationships to product and business stakeholders
Campaign Planning and Analysis - work with media teams, agencies, cross functional stakeholders to set campaign objectives and ensure tagging and tools are in place for proper measurement. Conduct real-time campaign analysis when required and deliver post campaign wrap report
QA of all analytics work with engineering, leveraging standard methods and processes to validate accurate data capture
Troubleshoot issues related to data and analytics, including managing reporting requests
Identify gaps in the overall data capture strategy and collaboratively implement enhancements
BS/BA or equivalent experience in data science, digital marketing, or digital media
5 years experience in digital media, preferably with television and/or video streaming providers
Experience with mobile and connected tv apps and platforms
Advanced Excel skills (Pivot tables, vlookup, etc.)
Highly proficient in creating dashboards and custom reports with knowledge of visual techniques for data analysis and presentation
Understanding of & experience in developing tagging structures for web analytics tools similar to Adobe Analytics/Omniture
Familiarity with viewing reporting calls using proxy tools like Charles Proxy or Firebug, performing QA of analytics implementations
Excited by deriving data-driven customer insights

Digital Analytics Specialist Resume Examples & Samples

3+ years in a web analytics role and experience with website optimization required
Proven experience in using data to identify issues and create clear actions to improve website performance and KPIs
Highly analytical and experienced in running A/B, Multivariate and usability tests
Solid experience with testing tools including Google website optimizer and Visual optimizer
Experience in web analytics programs & Excel
Knowledge of e-commerce
Proficiency in user experience best practices and copywriting preferred

Analytics Specialist Resume Examples & Samples

Support site activities related to operational excellence and material optimization via kaizen events, reporting, and communication
Assist with LS strategic projects supporting operational excellence, materials management, and delivery assurance
Responsible for developing, maintaining, and reporting of Materials and On Time Delivery metrics
Support operational excellence through KPI development supporting Lean Transformation initiatives, Standard Factory initiatives, and ACE initiatives
Oversee development of consistent LS level metrics and ensure adoption and accountability of metric performance
Develop and implement delivery assurance processes to support On Time Delivery improvement and sustainment at the site level
Develop standard work for reporting, master data, KPI’s and analytics
Complete analysis and development of monthly reports in support of executive leadership requests
Generate and deliver periodic analysis and presentations as required
Support the SIOP process, and various requests and other reporting requirements as needed
Assist with inventory optimization initiatives in coordination with Supply Chain, Production Control, Global Demand Planning, and Program Management
Assist with delivery assurance initiatives in coordination with Supply Chain, Production Control, Global Demand Planning, Customer Service, and Program Management

Analytics Specialist Resume Examples & Samples

Understanding of marketing funnel mathematics, with ability to identify key underlying data sources to support construction of logically sound marketing funnels
Understanding the trends and future data-driven marketing capabilities. Knows the data infrastructure implications of data-driven marketing strategy
Numerate and data-capable by nature: able to read numbers at a glance and interpret their meaning. Capable of understanding the business or marketing concepts in database structure
High Technical SQL/DB2 proficiency. Proficient in use of QMF/SPSS or other Query/Insight tools accessing DB2 databases
Unica Expertise and Marketing Automation Knowledge
Project and time management skills with good communication and problem solving capabilities

Analytics Specialist Resume Examples & Samples

Play a central role in program analysis and optimization for the Performance Marketing team
Evaluate marketing campaign performance for online and offline marketing campaigns, synthesize data, distill findings, develop insights and recommend actionable next steps
Be the subject matter expert and advocate best practices around web analytics, campaign reporting, conversion optimization, program/site measurement and multivariate testing
Collaborate with campaign teams to develop clear business and measurement objectives and work collaboratively with internal creative, account and search advertising staff to optimize campaign results
Design and perform online campaign and conversion analyses, interpret results and develop recommendations for clients and internal team members. Campaigns include search engine advertising, display advertising, email marketing, social media and integrated campaigns
Ongoing implementation and evolution of digital campaign analysis, as well as providing insights and learnings for optimization and reporting
Establish opportunities to optimize new and existing digital initiatives
Manage design of campaign testing and testing strategies; design metrics to be measured throughout testing and provide internal clients with clear results and recommendations
4-6 years of digital marketing analytic experience with exposure to a variety of industries and business models (B2B, B2C) with an understanding of how to leverage and develop strategies and recommendations (Agency experience preferred)
Experience with digital marketing campaign optimization, including search marketing, email marketing and landing page optimization
Experience in program measurement (online and/or offline)
Solid understanding and passion for interactive marketing channels (search, online media, website development, etc.) and direct marketing principles
Experience working with automation tools, lead generation programs, and email/display marketing from a reporting and analytic perspective
Hands-on expertise with analytics implementations, including Google Analytics
Advanced Microsoft Excel (pivot tables, solver)
Create or support the creation of business presentations based on analytic and reporting findings
Test design and financial modeling a plus
Digital agency experience preferred
IBM Coremetrics and/or Google Analytics experience

Remarketing Analytics Specialist Resume Examples & Samples

Coordinate and manage all VCI Remarketing channel reporting activities
Manage the preparation and distribution of the Remarketing monthly management reports to VCI/Audi/VW leadership
Analyze industry trends in End-of-Lease customer and dealer service by performing benchmark studies and analysis and provide recommendation for Remarketing processes and procedures
Ensure the consistency of extraction, manipulation, interpretation and application of Remarketing warehouse data across all of VCI
Participate in Planning Round and budget preparations, as well as collaborate with Remarketing Management and Controlling to establish current and forecast future headcount requirements
Manage campaign completion audits & collaboration with VWGoA Group Functions to ensure VCI’s campaign & recall process meets legal requirements
Coordinate and analyze arbitration activities for all of Dealer Remarketing
Assist in the preparation and distribution of monthly accounting & tax reports
Drive direct sale program changes in collaboration with third party vendor and VCI/Audi/VW teams
Actively pursue and identify trends and opportunities for sales program enhancements/changes while maximizing customer satisfaction and business objectives of VCI and Brands
Liaison for outside ancillary product vendors. Directly responsible for analyzing product effectiveness, facilitating sales forecasts, managing employee sale incentive programs, collaborate on process improvement projects and driving overall ancillary gross profit targets of over $1 million annually
Calculate monthly Vehicle Protection Plan sales bonuses for End-of-Lease consultants
Manage the Customer Direct Sale Incentive Tool and Training and Quality Call Monitoring Databases
Identify opportunities for dealer direct sales program enhancements/changes while maximizing dealer satisfaction and business objectives of VCI/Audi/VW
Collaborate with external vendors to ensure accuracy in VCI Data Sharing process
Assist with Remarketing data warehouse reporting, automation of Business Objects report creation, maintenance, and implement reporting improvements and efficiencies
Collaborate with Remarketing Management teams to improve analytics, performance tracking, and process improvements for Remarketing through benchmarking and strategic initiatives resulting in optimum efficiency
Participate in the performance of other duties and projects as assigned by the Remarketing Analytics Leader
Support VCI leaders with reporting/analytical ad-hoc requests
5-7 years of professional financial services related experience incluging Remarketing or related experience
Strong knowledge of Remarketing processes
Proven decision-making, problem solving, and multi-tasking skills
Demonstrate strong analytical and sound business skills to balance dealer satisfaction, education, and vehicle proceeds maximization

Online Analytics Specialist Resume Examples & Samples

Responsible for Web Analytics and optimisation solutions and systems
Responsible for the accurate implementation of visitor, lead and sales
Develop strong relationships and engage with teams to obtain data for the
Previous experience of customer driven organisations
Experience of analysing complex data and large data volumes
Knowledge and application of best practice customer insight principles
Background in research
Track record of identifying growth opportunities for the business from data
Knowledge of supply chain processes and Aftermarket industrial / automotive

Risk Modeling & Analytics Specialist Resume Examples & Samples

Carry out and document independent tool validation in line with regulatory requirements, the UBS model governance policy and its supplementary documents
Assess the tool's conceptual soundness and appropriateness , covering both qualitative and quantitative aspects as well as the broader context within which those tools operate
Perform related outcome, impact and benchmark analyses
Interact and discuss with tool users, developers, senior owners and governance bodies
A MSc or PhD degree in a quantitative field (for example mathematics, physics, statistics, engineering) or in information technology
Experience in model development or validation, preferably including monitoring and surveillance tools used within a compliance or operational risk control department
Familiarity with the global financial industry and its compliance and operational risks
Expertise in data assembling and analysis, computational statistics, anomaly detection or machine learning including relevant programming skills, for example R, Python, Java, C++, SQL, Spark

Senior Analytics Specialist Resume Examples & Samples

Help set the direction of the department by partnering with Sports Analytics leadership to set project priorities
Identify the key components in the algorithms and turn them into language that allows them to be readily used in storytelling across ESPN platforms
Support the department’s training plan by contributing to the education of other members of the SIG, as well as other members of the Production department, on Sports Analytics storytelling tools
Collaborate with the other members of the Sports Analytics Team and ESPN technology partners to write scripts, queries and basic code to transform data into automated metrics across our digital platforms and internal research tools
Identify trends and react to news stories on a daily basis, using the new tools the Sports Analytics Team develops, other products available to the Stats & Information Group and tools available in the marketplace
Bachelor’s degree in a quantitative discipline such as Statistics, Computer Science, Mathematics or Economics
Advanced degree in a quantitative discipline such as Statistics, Computer Science, Mathematics or Economics
Expert level knowledge and experience with R
Experience working with teams in an analytics capacity

Junior Analytics Specialist Intern Resume Examples & Samples

Works with end users from various business units to capture reporting requirements and translating those to technical a design output
Performs extensive data analysis, data profiling
Design logic, load strategies along with reporting functions
Design of logical and physical data models
Development and testing proof of concept
Presentation of Proof of Concept to Business Stakeholders

Advanced Warranty Analytics Specialist Resume Examples & Samples

Lead, develop, implement, and sustain robust processes for advanced warranty analytics modeling and applications across the RCS Quality organization: Utilize the IBM SPSS Advanced Warranty Analytics program to develop predictive models and streamline current analytics processes for the residential and commercial businesses
Develop and implement visual reporting of warranty results and scorecards for reporting at executive, manufacturing, engineering and product team levels. Work with IT resources to drive these efforts and coordinate usage of corporate tools and data stores for generating these reports
Work directly with the Quality product teams in identifying key drivers of claiming activity and methods of predicting and tracking claiming activity following corrective action implementation
Help to develop the appropriate skill sets within the Quality organization to effectively utilize these modeling and analytics tools, and results
Coach other functional areas interested in applying advanced warranty analytics regarding application, modeling, and developing skill sets necessary to effectively use tools
Work with future product program teams to identify appropriate warranty claiming reduction goals based on current product performance and planned warranty coverage for new platforms
Contributes to their team or department by applying their knowledge of one or more functional areas
Fully developed professional able to work without direct guidance or direction from others

E-discovery Complex Analytics Specialist Resume Examples & Samples

Identify appropriate software, custom scripts, or in-house development to solve specific issues
Evaluate, develop, and test custom scripts to address issues utilized as short term solutions
Identify long term solutions based on the analysis of an issue
Ability to retrieve data within or across multiple environments to identify anomalies or define the scope of an issue
Escalate when challenges are encountered that alter the work plan
Provide clear and concise updates & ad-hoc reports to Project Managers which may be delivered directly to a client
Bachelor’s degree in a Computer discipline or commensurate work experience
Education or experience analyzing business problems, transactional data, or unstructured data
Scripting experience with SQL for applications is mandatory, additional scripting experience preferred with other technology such as Ruby, C#, perl, python, Microsoft Access, Visual Basic
Experience in handling multiple concurrent complex activities within a technical environment
Ability to identify project risks and escalate in a timely manner
Excellent verbal and written communication skills with both internal staff and clients
Hands on experience with both traditional (boolean and key word search) as well as concept-based search tools and technologies is a plus
Experience with e-Discovery operations or engineering experience or advanced application development, application maintenance, and relational database technologies is a plus
Knowledge of common e-Discovery tools is a plus (i.e. Concordance, Relativity, Introspect, IDOL, Discovery Cracker, IPRO, and OCR software packages)
4+ years of relevant work experience

Analytics Specialist Resume Examples & Samples

Translate business requirements/ Problem Statement into analytical solutions
Work with Honeywell businesses and IT teams to clearly outline how enterprise platforms can enable business growth & productivity by seamlessly combining structured and unstructured data into a single, self-service analytical environment
Leverage know-how and domain knowledge of Honeywell experts to define, design and develop intelligent algorithms to operate on large data sets related to Supply Chain
Integrate multi-structured data from various sources to unlock new value for Honeywell
Master’s degree in Engineering/Technology. Specialized in Computer Science, Applied Mathematics or related field is preferred
10 + years of experience in analytics consulting
5 + years’ experience with modeling software (R, SAP HANA, Python, SQL, SPSS, SAS)
Innovative, creative, proactive and outside the box thinking

Analytics Specialist Resume Examples & Samples

Bachelor's degree in a business related or financial field and/ or equivalent work experience in business system technology management
Modeling or analytics background with at least 5-7 years in financial services industry
Excellent organizational and analytical skills with strong technical abilities
Strong understanding of underlying data for structured products (ABS, MBS, CDO/CLO), loans and bonds
Business technology strategy at financial services or consulting firm that supports institutional banking clients
Experience working with data visualization tools like Tableau
Experience partnering with data engineers and user experience design professionals on transformational projects with a goal to “wow” clients

Analytics Specialist Resume Examples & Samples

Manage company’s global liquidity, working capital, daily cash, MMF investments, deposit accounts, and time deposits
Supervise and monitor debt and credit revolver covenant quarterly compliance
Compile debt service coverage ratio and leverage ratios as required under lender and credit agreements
Work closely with Tax to design and execute tax efficient loan structures to offset interest expense accrued from intercompany loans, and foreign cash repatriation
Global bank administrator for all online bank systems, overseeing users’ access to bank accounts, checks, positive pay, and funds transfers
Oversee corporation’s real estate and service oriented letters of credit and bank guarantees
Enforce all Treasury policies for bank account openings and funds transfers
Execute and arrange settlement for all foreign funding’s, FX hedge liquidations, and large-dollar foreign vendor and tax payments
Review mark-to-market calculations of interest rate swaps utilizing Bloomberg SWPM function
Continuous monitoring of changes in money market regulation and swap regulation
Supervision of 1 Treasury Analyst
Ability to understand basic legal contracts and corporate structures
Ability to multi-task and shift priorities
Understanding of Bloomberg Terminal functions a plus

Analytics Specialist Resume Examples & Samples

Executes analytic projects to provide insight into client needs and behavior, supporting marketing and client servicing decisions
Engages with project sponsors and stakeholders to understand each business question. Probes for hidden questions and goals. Helps bring structure to each request and translate requirements into an analytic approach
Acquires structured and unstructured data and prepares it for analysis. Investigates, extracts, cleans, transforms, QCs and manages data using SQL and Base SAS programming techniques. Identifies and diagnoses data inconsistencies and errors and forages to fill data gaps
Analyzes data to describe client behavior and preferences, understand channel usage, diagnose client experience problems, size marketing opportunity, target clients for treatment and measure the impact of marketing and servicing initiatives. Utilizes appropriate analytic methods and specialized tools to generate insights, answer the business questions and fulfill project objectives
Prepares and delivers insight presentations and action recommendations. Communicates complex material in layman's terms. Guides business partners on the interpretation and use of analytic results
Administers model score, experimental data and documentation libraries
Develops and applies domain knowledge of Vanguard’s businesses and data
Undergraduate degree in an analytically oriented major, such as statistics, mathematics, economics or an applied social science. Academic training in applied statistics preferred
A minimum of three years general experience and three years of relevant professional experience in analytical roles
SAS and SQL programming skills. Understanding of data structures
Logical problem solving skills
Industry experience applying statistical techniques (modeling, regression methods, decision trees, forecasting, clustering, time series)
Able to communicate complex concepts and analysis to a variety of audience knowledge levels. Data visualization and storytelling skills

Advanced Warranty Analytics Specialist Resume Examples & Samples

Expertise with IBM SPSS Advanced Warranty Analytics program
Knowledge of Statistics and practical experience applying statistical analytics
Expertise with BI 4.0 tools including dash boarding, and Explorer

Analytics Specialist Resume Examples & Samples

Developing and maintaining templates to ensure appropriate tracking and monitoring of KPI’s
Creation, maintenance and visualization of the Procurement dashboard in SAP BI
Coordinate key metrics and provides analysis and insights as well as comprehensive reporting and dashboards; Conducting analysis of data sets and derive fact-based recommendations
Ability to follow up and secure corrections once KPIs are not met
Identify opportunities where Procurement can add value to the process
Perform root cause analysis and 5Why methodology, Pareto methodology
Driving for continuous improvements by challenging the current state, optimizing process and utilizing the capabilities to secure high quality standards for procurement operations
Be the point-of-contact for Procurement operations in order to fix potential operational issues and doing root causes analysis to ease the joint problem-solving for potential errors for the Procurement dashboard
Making sure that Monitoring & Reporting function within SSC Procurement is embedded across Global Procurement and RPO and establishes alignment for all reporting requirements
May monitor or report ad-hoc performance issues
Bachelor’s Degree in Computer Science, Business Science, Engineering or similar
More than 5 years of experience in Procurement Processes and Systems
Must have extensive knowledge and experience in SAP BI
Experience with SAP Query Designer, SAP BPC or similar is an advantage
The ability to lead and manage projects – especially BI-related development projects
Solid understanding of database principles & Procurement Governance
Detailed understanding of critical path of information flow and data analysis
Super user of Microsoft Office programs (especially Excel incl. VBA)
Proficiency in MS Office (Word, Excel, PowerPoint, and Outlook including creating macros, pivot tables, vlookup, charting, manipulate data, run reports )
Experience with MS Access & SharePoint is an advantage
With experience in SAP ERP (MM) / Infor XA (Mapics) is an advantage
Work experience with systems and reporting development and implementation in an international organization

Digital Optimisation & Analytics Specialist Resume Examples & Samples

Reporting and insight
Day-to-day tracking, management and optimisation of digital assets and campaigns
Maximising conversions through constant analysis and a programme of A/B or MVT testing
Regular consultation with stakeholders regarding online sales performance
Detailed understanding of A/B testing and other digital optimisation techniques
Good understanding of digital sales technologies and mechanisms
Knowledge and experience with Adobe Marketing Cloud tools
Basic understanding of digital technologies (HTML, JavaScript)
Excellent analytical skills and experience with web metric tools
Strong Excel and numeracy skills

Senior Fixed Income Analytics Specialist Resume Examples & Samples

Provide analytic support, performance attribution and risk analysis for the Fixed Income business
Take ownership of driving forward changes in attribution methodology and or systems
Develop a more seamless relationship between risk analysis and performance attribution
Contribute to tactical and strategic initiatives relating to Fixed Income analytics
Strong Fixed Income Attribution knowledge and experience of its application within the Front Office
Strong knowledge of Credit, Rates, FX, Fixed Income derivative instruments (IRS, CDS etc.)
Experience of risk management processes
Master’s degree, preferably in finance, mathematical or engineering discipline
CFA qualified or part qualified
Deadline oriented and highly organised (proven ability to deliver small projects to the Front Office)
Self-motivated and able to work independently, possibly with some managerial experience
Strong inter-personal skills, effective communicator at all levels from Fund Accounting to Portfolio Manager to CIO
Development skills important including (but not limited to) Excel (advanced), Access and VBA would be advantage

Insights Analytics Specialist Resume Examples & Samples

Collaborate with Brand teams to measure results and to and communicate insights related specifically to their areas. These include Communications Content, Social Media, Digital and Experiential/Sponsorships
Partner effectively with Brand teams to ensure that informed decisions are made and that insights are the primary driver
Create dashboards that are easily understood and shareable, and communicate specific opportunities to optimize the brand activations
Work with various partners in the organization to ensure all data input needs are met
Bachelor degree or higher from an accredited university
Minimum of two (2) years of analytics experience
Minimum of two (2) years of experience tracking and reporting marketing & sales results from digital campaigns & tactics (such as paid social, PPC, email, display, web/content marketing, etc.)
Minimum of two (2) years of enterprise level web analytics experience (WebTrends preferred, Google Analytics, Adobe Analytics, etc.)
Minimum of two (2) years of enterprise level sales and marketing automation tool reporting experience (Eloqua, Salesforce - preferred, Marketo, Pardot)
Minimum of two (2) years of experience in data visualization tools such as Tableau
Demonstrated ability to translate information and data into actionable insights, communicate the resulting recommendations and leverage storytelling to make the business case
Utilize strong strategic thinking skills, including ability to assess current situation, draw conclusions
Create and deliver compelling presentations to teams and senior management
Develop, manage and execute analytic plans
Ability to communicate, and to identify and define relevant information in a sea of data
Ability to analyze and optimize end-to-end digital campaign performance from a demand-to-revenue perspective
Excellent team player with strong interpersonal and communication skills
Experience managing multiple projects concurrently
Familiarity with social listening tools (Sysomos, Radian6, Spreadfast, Brandwatch, etc)

Digital Analytics Specialist Resume Examples & Samples

Executes digital analytics reports and dashboards in Business Objects and Excel
Supports synthesis and translation of large volumes of complex information to senior management
Tracks and analyze usage trends and propose recommendations based on findings
Works with the business intelligence teams to continually refine web analytics data model
Builds knowledge of current research, technology, and best practices related to digital product analytics
Contribute to the development of our proprietary web analytics data model and helping other teams (Research and Commercial teams) leverage analytics to aid with better consumption of data
Demonstrated quantitative analytic skills and working knowledge of statistical analysis and modeling techniques
Effective time management and organization skills and demonstrated ability to meet deadlines independently
Strong communications skills and ability to work across various business units to scope and understand their needs
Willingness to work outside the strict job description parameters, thinking creatively about how to use digital product analytics to improve business outcomes
Ability to work with cross-functional groups and build partnerships to solve and troubleshoot complex data questions
Strong in data modeling skills with knowledge of SQL
Works on Web Intelligence reports based on SAP business object
Knowledge on Data visualizations tools such as SAP Lumira and Tableau and, Integration with Enterprise Data warehouse would be a plus
Should have primary skills of developing Webi Reports, DeskI reports or Crystal Reports. Additional knowledge on BO client tools like Xcelsius would be an added advantage
Experience in defining solutions & frameworks with BI or Data Visualization tools
Possess strong analytical skills, database tuning and report data performance knowledge would be preferable
Familiarity with standard click stream analysis tools: Google Analytics, HBX, Omniture, Web Trends, Core Metrics, etc
Bachelor’s degree in computer science, information technologies, marketing, business, statistics, or other related field
Minimum of two years’ experience in a similar position

Digital Analytics Specialist Resume Examples & Samples

Work with analytics users across the university to develop and maintain a suite of best practices for digital analytics
Work collaboratively with cross-functional teams to define reporting requirements for the university’s Web site, and translate those requirements into tracking strategies
Implement Google Analytics, especially in the Drupal environment
Ensure Google Analytics implementations comply with university standards
Develop reports and dashboards with insights that drive changes in individual units and across the university
Stay abreast of Web analytics trends and best practices and lead efforts to research and evaluate new tools and capabilities in the analytics industry
Conduct ad-hoc analyses to answer business questions and drive decisions
Build a Web analytics infrastructure for the design, interpretation, and delivery of comprehensive reports on Web site performance and engagement metrics; and
Work with management and stakeholders to identify requirements and deliver relevant/actionable analysis
Bachelor’s degree in marketing, public relations, communications or relevant fields; or an equivalent combination of education and experience
Demonstrated experience in an advertising, marketing and communications, and/or a public relations firm or related industry; and
Previous experience in higher education or similar agency

Maintenance System & Analytics Specialist Resume Examples & Samples

Minimum of 5 years of experience in Maintenance, Planning & Scheduling, Materials Management, or Information Technology Systems
Bachelor’s Degree in Engineering from an accredited institution
3 years’ maintenance experience in a manufacturing environment
Expertize with Oracle eAM, Discoverer Queries or Enterprise Resources Planning is required
Understanding of the eAM system, Oracle Business Intelligence / Discoverer reporting tools, and Oracle R12 applications
Good knowledge of & capability with Microsoft Excel and PowerPoint, SharePoint experience is a plus

Digital Analytics Specialist Resume Examples & Samples

Data mine, build and develop complex queries from various source systems, manage databases and perform analytics to support and propose direction on strategic business decisions
Translate results of A/B multi-variant testing and analysis into executive presentations and reporting
Research and resolve concerns related to Adobe Reports & Analytics. Elevate issues to Adobe, where necessary
Consistently evaluate processes and guidelines and provide recommendations to gain efficiencies
Knowledge of SQL (preferably Teradata), Adobe Marketing Cloud Tools (Reporting & Analytics and Test % Target) MS Excel, and MS PowerPoint is required
Experience with MS Visual Basic , .Net, and MS Cubes is a plus
Detail oriented, demonstrates a sense of urgency, effective teaming skills, self-driven with strong initiative, ability to balance multiple priorities to meet stringent deadlines, adaptive to change

Digital Analytics Specialist Resume Examples & Samples

Adobe DTM
Adobe Analytics
DTM QA tools (e.g., Developer Consoles, Charles Proxy)
Site auditing Tools (e.g., Ghostery, ObservePoint)
) Adobe Analytics Implementation Proficiency
Translate, implement and debug existing JavaScript within DTM Rules
Create and debug data layers (i.e., DOM array variables) within existing web properties

Digital Optimisation & Analytics Specialist Resume Examples & Samples

Deliver daily and monthly reporting on web sale effectiveness
Collaborate with stakeholders to show online sales performance & optimisation
3+ years of digital sales and analytics experience, including A/B testing and optimisation
Knowledge and experience using Adobe Marketing Cloud tools
Basic understanding of digital technologies – html, JavaScript, native apps
Experience with Data visualization tools such as Tableau is desirable
SQL, data mining experience and ability to create customised dashboards will be an advantage

Client Analytics Specialist Resume Examples & Samples

Consults with internal clients to interpret requests, with particular focus on supporting the Active Advantage program
Conduct quantitative and qualitative research and analysis utilizing internal databases, external resources and asset allocation tools
Develop original research and thought leadership with guidance for internal and external clients on various investing and product topics such as portfolio construction and asset allocation, pension design, investor behavior, active vs passive investment management and asset manager selection
Work with other research-oriented teams within the Capital Group on projects that further the company’s products and investments
Conduct research and analysis for client portfolio analysis requests, insights development, sales force training content, and support of internal initiatives
Stay up to date on industry trends
Engages Client Analytics team in review of analysis prior to distribution
Conducts research to understand the competitive landscape
Develops and maintains an understanding of products and business areas
2-3 years’ experience, ideally within the asset management industry
Demonstrated proficiency with R and/or Matlab
Excellent problem solving and research skills; skilled at interpreting results and identifying key issues with an ability to translate technical information into understandable terms
Demonstrates a high level of intellectual curiosity and analytical skills in areas of moderate complexity
Demonstrates sound judgment in resolving matters of moderate complexity; demonstrates initiative by identifying issues and recommending solutions
Effective written and oral communication skills with a diverse group of associates and senior business leaders
Demonstrates ability to collaborate and develop/maintain working relationships to enable effective completion of business objectives
Business or economics degree, MBA is preferred

Channel Analytics Specialist Resume Examples & Samples

Develop and execute methodologies for measuring and predicting the success of our channel initiatives using sales, media, research, and customer data
Produce timely ROI and post mortem analyses and reporting on all advertising and campaign initiatives, and provide direction on go-forward strategies to optimize promotional messages and product mix
Must be comfortable with fielding abstract and ad hoc requests for success measurement and executing analyses that succinctly answer critical business questions
Manage the development and distribution of the various marketing/campaign scorecards (some weekly as well as monthly) to assist the Marketing team in ensuring the effectiveness of initiatives and campaigns
Ensure the marketing scorecards are populated with accurate data and delivered in a timely manner
Help the marketing team set metric-driven objectives for a given marketing initiative
Create reports that are data rich, in a digestible and actionable format appropriate for different stakeholders within the organization
Assist the Insights Team in special projects, reports and presentations on an ongoing and as-needed basis
Liaise with multiple stakeholders within marketing and the broader organization to ensure marketing driven results are accurately captured and disseminated
Key Performance Measures include: Reporting accuracy; Reporting timeliness; and Marketing Channel(s) ROI

E-commerce Analytics Specialist Resume Examples & Samples

Custom analytics & reporting – provide custom analytics and reporting based on the advertiser needs
Best practices - Identify repeatable solutions and best practice that can be built to scale and serve more advertisers
Product Development & Incubation - Work with product, sales, account management, and clients to drive and tune implementation
First-adopter and stakeholder and proxy for account management for new Analytics products through initial launch and follow-on releases
Life cycle campaign management – work with account managers and retail SVS and merchandisers to set up, optimize, and report on campaigns, and to respond to AM and AE queries
Training and collateral – you will work the product marketing, trade marketing and account management organizations to build collateral for training the wider organization, and to scale solutions globally
A bachelor's degree is required, preferably in an analytical field (e.g. Economics, Psychology, Computer Science, Mathematics, Statistics, or Finance)
Proficiency in SQL is desirable
Understanding of basic statistics
Deep proficiency in Excel (pivot tables and charts)
An MBA is preferred
Ability to create Visual Basic Macros for automation in Excel
Experience in using Python in context of data handling and analysis would be a bonus
Experience in using R for statistical analysis and charting would be a bonus
2+ years of SQL experience would be preferred
Evidence of experience of and comfort with working in command line is strongly preferred (be that Python, R, SQL, Visual Basic or another programming language)
Strong working knowledge of Tableau (or alike) would be a bonus
Experience in building predictive modeling would be a bonus
Experience in online advertising or web-based technologies is a plus
Experience partnering with sales and/or engineering team is a plus
Strong oral and written communication skills are critical
Strong analytical and quantitative skills as well as experience applying those skills in the advertising domain is highly desired
Proven experience in advertising product management is required, preferably in data and analytics. This includes agency/consulting experience in these industries

Business Performance & Analytics Specialist Resume Examples & Samples

Produce monthly performance analytics highlighting divisional performance
Ability to analyze, administer, and communicate sales compensation plans to sellers and management
Develop Excel-based databases to support production of analytics
Develop ad hoc analyses to support strategic projects
Incorporate and consolidate multiple data sources to create meaningful and impactful management information
Create management presentations for senior stakeholders
Collaborate with counterparts throughout the organization to produce results
Develop relationships with cross-functional colleagues both locally, domestically, and around the globe
Advanced Excel proficiency, including PivotTables, Reference Functions (e.g. Vlookup), etc
Focused; detail oriented; precise; organized
Problem solver; inquisitive
Good balance of people person vs. technical and analytical thinking
Collaborative; reliable
Strong problem solving skills and ability to apply creativity to improve processes
Must be able to work in a fast paced environment and have strong time management skills
Willingness to learn Software programs like Salesforce and Obero Incentive Compensation Management

Advanced Analytics Specialist Resume Examples & Samples

Develops queries and performs extensive programming to access, transform and prepare data for statistical modeling. Identifies and diagnoses data inconsistencies and errors, forages to fill data gaps and blazes new data trails. Creates derived characteristics
Designs and develops models to target marketing and service offers. Supports production implementation of models, and validates models. Creates model documentation
Performs deep dive diagnostic, predictive and prescriptive analytics for customer behavioral segmentation, look-alike targeting, growth opportunity estimation and next best action identification
Prepares and delivers insight presentations and action recommendations. Communicates complex material in layman's terms. Educates leaders and crew on analytical findings and implications using storytelling, data visualization and graphical artisanship
Designs analytic plans, translating business problems/opportunities into analytic approaches. Engages with project sponsors and stakeholders to understand each business question. Probes for hidden questions and goals. Brings structure to each request and translates requirements into an analytic approach
Analyzes data to describe client behavior and preferences, understand channel usage, diagnose client experience problems, size marketing opportunity, target clients for treatment and measure the impact of marketing and servicing initiatives. Identifies and utilizes appropriate analytic methods and specialized tools to generate insights, answer the business questions and fulfill project objectives. Seeks out innovative approaches and techniques
Guides test design, research design and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives
Contributes to the growth of the analytic community
Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience. Graduate degree preferred
A minimum of five years general experience and five years relevant professional experience in analytical roles
Experience developing creative analytical solutions to marketing and client service problems and opportunities
Able to take disparate data and understand it, process it, extract value from it, visualize it and communicate it
Experience consulting to understand business problems/opportunities, translating needs into analytic projects and applying results
Data wrangling - Programming skills to access, transform and prepare large scale data for statistical modeling
Experience utilizing statistical and machine learning methods: data imputation, propensity models, regression (logistic, linear), clustering (k-nearest neighbors, hierarchical), decision trees (CHAID, CART), random forest, uplift modeling, optimization, simulation, time series, hazard function and survival analysis, Bayesian methods, principal component analysis, support vector machines, association rules, ensemble methods, forecasting, model validation, design of experiments, text mining
Skills in the data science tool stack: SAS (Base, Macro, Stat), SQL, KnowledgeSTUDIO, Python, R
Domain experience in marketing analytics: customer acquisition, digital marketing, response modeling, identifying customer needs, predicting customer behavior, next best action, diagnosing customer struggle, attrition/churn, customer lifetime value, sales territory analytics

Life Sciences Risk Analytics Specialist Director Resume Examples & Samples

A degree and/ or relevant professional qualification in business informatics or similar
At least 9 years of professional experience, of which a significant proportion should be in a leading position at a professional services firm and in a context of the services referred to above
A strong understanding of the health and life sciences industry, a deep understanding of the trends affecting the industry - in particular the current regulatory landscape - and a point of view on how big data and analytics will transform the industry
Proven ability to work independently to develop new services and propositions, and take them to market by leveraging available resources both in the team, and in the wider Deloitte network - combined with strong planning, organisation and people management skills, exceptional communication, presentation, business writing and professional skills
Experience in managing, strengthening and broadening key client relationships, as well as an existing strong network of potential clients in the industry

Risk Analytics Specialist Manager, Zurich Resume Examples & Samples

A strong understanding of the Financial Services and/ or Life Sciences industry, a deep understanding of the trends affecting the industry – in particular the current regulatory landscape – and a point of view on how data and analytics can transform the industry
Broad background of information technology e.g. IT/ data architecture and lifecycles, data governance, service management, testing or data/ system migration, as well as a strong understanding of the current and emerging tools and technologies
The ability to work on your own initiative and in many different and challenging environments, combined with strong planning, organisation and people management skills, exceptional communication, presentation, business writing and professional skills
You communicate confidently in English. German would be an advantage

Digital Analytics Specialist Resume Examples & Samples

Manages all aspects of institutional reports including reporting automation, dashboard layout, visualization, exports, graphs, insights, and delivery methods
Evaluate web analytics and other data, surfacing the most relevant information and insights, to assist our partners in achieving their objectives
Provide ongoing reporting--seeking insights and recommendations that lead to change, not simply reporting on what has occurred
Evaluate data capture mechanisms--Specify changes to analytics implementations in order to optimize the data being captured as needed
Define, produce, and maintain reports and dashboards for key stakeholders (business owners) that provide actionable, solutions-oriented metrics, insights, and recommendations that lead to audience, traffic, and conversion growth. Train business unit colleagues to interpret these reports
Provide thought leadership to data visualization and ways to standardize across a global environment
Provide thought leadership in the integration of industry standard metrics into existing framework
Ability to interact with all levels within the organization and work in a fast-paced environment with many initiatives
Educate and evangelize the value proposition of digital analytics
Minimum 3 years’ of experience in a digital analytics team with experience in BI, visualization and storytelling
Minimum 2 years’ experience of digital marketing experience
Minimum 2 years’ experience in Adobe Analytics tools (Site Catalyst, Discover and/or Data Workbench Report Builder) required
Experience developing dashboards and reports
Analysis experience within financial, retail or technology industries
Experience with and a detailed understanding of website and mobile platforms (digital products), especially in the area of online self-service, acquisitions and advertising
In-depth understanding of software development life cycle utilizing both waterfall and agile delivery methodologies
Ability to identify and interpret patterns, trends and anomalies in data
Tealeaf experience
Ability to handle several multi-faceted projects at once
Strong written and verbal communication skills, collaboration skills; great attention to detail
Experience developing collaborative relationships and partnerships with the business and technology departments that drive business results
Proven self-starter who thrives in a fast paced environment

Digital Analytics Specialist Resume Examples & Samples

Ability to work with analytics users across the university to develop and maintain a suite of best practices for digital analytics
Experience collaborating with cross-functional teams to define reporting requirements for digital media, and translate those requirements into tracking strategies
Demonstrated experience implementing Google Analytics in the Drupal environment
Ability to ensure Google Analytics implementations comply with established standards
Experience developing reports and dashboards with insights that drive changes in individual units
Demonstrated understanding of Web analytics trends and best practices and the ability to lead efforts to research and evaluate new tools and capabilities in the analytics industry
Experience in front-end development with experience in Java script, PHP, and Cascading Style Sheets
Ability to conduct ad-hoc analyses to answer business questions and drive decisions
Demonstrated experience building a Web analytics infrastructure for the design, interpretation, and delivery of comprehensive reports on Web site performance and engagement metrics; and
Ability to work with management and stakeholders to identify requirements and deliver relevant/actionable analysis
Bachelor’s degree in computer science or relevant fields; or an equivalent combination of education and experience

Consumer Insight & Analytics Specialist Resume Examples & Samples

Support the design, implementation and distribution of the consumer management dashboard / reports showing customer segment specific trends and KPIs, i.e. demographic insights, retention, acquisition, reactivation, data capture, etc
Perform periodical consumer analysis and reporting and work cross-functionally with other company departments to develop ad-hoc analyses on specific projects; i.e. collaboration with Merchandising for detailed client profile on specific key products / collections
Collaborate with the line Manager for the definition of new consumer KPIs, maintain and evolve the company customer segmentation across channels. Define actions based on analyses results to support business objectives
Support the line Manager in targeting definition for all marketing activities, i.e. direct marketing campaigns, retail events, providing suggestions and guidelines to regions based on formats and objectives
Measure and analyze return and effectiveness of all marketing activities, i.e. run ROI analysis for direct marketing, events, brand experience, special projects, etc
Support the evolution of company analytics capabilities and tools, collaborating with the Consumer Demand and IT departments to enhance existing tools and to develop new reports and functionalities
Coach regions and channel users in developing / executing reporting and analytics tools usage
Support the Manager to draft the budget of the area and manage periodical checks

Price Analytics Specialist Resume Examples & Samples

Minimum of five (5) years combined experience in Pricing, Customer Service, Accounting, Finance and/or Marketing
Combined experience with quantitative analysis, statistical modeling, and/or working with large data sets
Combined experience with advanced Excel functions including conditional formulas, indexing, pivot tables, and/or data visualization
Master's degree in Business, Finance or Marketing or higher from an accredited university
Experience in SAP BusinessObjects Business Intelligence 4.0 (BI4)
Experience with SAP, Vistex, and Vendavo
Management consulting experience

Junior Analytics Specialist Intern Resume Examples & Samples

Pursuing a Bachelor’s degree in Statistics, CIS, Computer Science or other related degree
Experience with SQL and data analysis
Programming experience/understanding
Self-Driven and Motivated to solve technical problems
Desire to understand big data technologies such as Hadoop, Python, Hive, Spark

Workforce Analytics Specialist Resume Examples & Samples

The incumbent collaborates with the HR business partners to implement and maintain global, measurement methodologies and KPIs that accommodate regional and local differences. Additionally, the incumbent is responsible to provide subject matter expertise for HR analytics, reconciliation of metrics and reporting globally
Acts as a point of contact and source of HR truth for HR globally
Contributes to the Hertz’s operational and financial success through the application of analytics that link global HR to business plans. Supports the implementation of standard measurement methodologies, ensures that they are operationalized in order to drive HR actions that impact business
Educates the HR community on the features, functions, and benefits of HR analytics
Works in cooperation with Finance to ensure HR metrics are aligned and integrated with key Finance indicators to drive financial growth
Provides expertise on global HR metrics and acts as a key support regarding the implementation of HR BI solutions
Experience in analyzing large data sets using statistical software, such as SAS, R, Python and SPSS, to discover new business insights
SQL Programming experience desired
Prior experience with building models, analyzing unstructured data
Prior academic and work experience in statistics, with exposure to data structures and data visualization (tableau)
Ability to convince in situations without formal authority and to push back when appropriate
Able and willing to travel
Business process analysis, analytics principles and predictive analytics
Expertise in data visualization tools e.g. tableau and analytical software
Excellent interpersonal, communication and networking skills
Demonstrates resourcefulness, maturity, good analytical skills
Fundamentals of project management

Advanced Analytics Specialist Resume Examples & Samples

Support AAG’s Sr. Specialists and Managers in providing analytic consulting, ETL support and primary market research expertise to Bain case teams and clients worldwide. The Advanced Analytics Specialist will work with case teams to assess data needs, support data handling, design primary research projects, and propose analytical solutions to provide practical, value-added answers to the client and case teams
Setting up and executing ETL processes for case teams and clients. Enable case teams to aggregate, merge and/or work on (large) datasets
Explore, model, mine, and experiment with data to answer critical business issues
Explain and perform variety of advanced statistical and data mining analyses
Train and coach consultants on statistical/analytical procedures and tools
Provide training, documentation and other assistance to BCC, AAG and consulting staff to support and expand the use of database, market research, modeling, and data visualization tools
Keep abreast of new and current statistical, database and market research techniques
Candidates should be a graduate/ post-graduate from top-tier colleges with strong academic records. Bachelor’s degree or higher in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics or information sciences such as business analytics or informatics is desired
3++ years of relevant industry experience. Should have prior experience in similar analytics roles
Strong experience with SPSS, R, SQL or SAS, including syntax or scripting languages
The ideal candidate may also have other complimentary skill sets including
Familiarity with Alteryx, Tableau or other advanced analytical tools
Knowledge of programming languages or MS Office automation (e.g., VBA, Python, JAVA)
Experience with tools in the Big Data domain (e.g., Hadoop, NoSQL, Azure/AWS)
Excellent knowledge of statistical techniques including multiple regression, (multinomial) logit/probit models, factor/principal component analysis, decision trees, cluster analysis and latent class segmentation is required
Knowledge of a variety of statistical and data mining techniques including correspondence analysis, multidimensional scaling, neural networks, ensemble learners (e.g., random forest, boosting), association rules or collaborative filtering is a plus
Experience working with SQL and relational databases such as Microsoft SQL Server, Oracle, MySQL or similar databases is desired
Strong analytical, mathematical, interpersonal and communication skills
Ability to collaborate with people at all levels and with multi-office/region teams
Ability to manage multiple tasks. Must thrive in a fast paced environment and be able to work independently

Senior Advanced Analytics Specialist Resume Examples & Samples

Provide analytic consulting and primary market research expertise to Bain case teams and clients worldwide. The Senior Advanced Analytics Specialist will work with case teams to assess data needs, design primary research projects, and propose analytical solutions to provide practical, value-added answers to the client and case teams
Recommend and explain research methods and analytical techniques appropriate for targeting and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, and territory optimization
Design sample specifications, and develop surveys that will deliver actionable information
Conduct advanced statistical analyses: Explain and perform a variety of statistical and data mining techniques including discrete choice/conjoint analysis, latent class and other clustering techniques, maximum difference scaling, multivariate and logistic regressions, decision trees (e.g. CHAID/CART), and factor and correspondence/MDS analysis
Keep abreast of new and current statistical and market research techniques
Develop relationships with external research vendors and interact with as needed
Provide training, documentation and other assistance to Bain’s consulting staff to support and expand the use of market research and modeling tools
5-10 years of experience with market research and statistical analysis in a business, market research or social science environment without a Master’s Degree, or 3+ years’ experience with a Master’s Degree or Ph.D. in statistics, math, economics, market research or related field
Extensive experience with R, SPSS, or SAS
Experience explaining and performing a variety of statistical and data mining techniques including: latent class segmentations, discrete choice/conjoint, multivariate and logistic regressions, decision trees, and factor and correspondence/MDS analysis

Advanced Analytics Specialist Resume Examples & Samples

Support Sr. Specialists and Managers in providing analytic consulting and primary market research expertise to Bain case teams and clients worldwide. The Advanced Analytics Specialist will work with case teams to assess data needs, design primary research projects, and propose analytical solutions to provide practical, value-added answers to the client and case teams
Conduct advanced statistical analyses: Explain and perform a variety of statistical and data mining techniques e.g. discrete choice/conjoint analysis, latent class and other clustering techniques, maximum difference scaling, multivariate and logistic regressions, decision trees (e.g. CHAID/CART), and factor and correspondence/MDS analysis
Train and coach consultants on basic statistical and analytical procedures
A Masters Degree or Ph.D. in Statistics, Economics, Mathematics, Engineering or Market Research. Previous work experience in a related field a plus
Experience with R, SPSS, or SAS,
Knowledge of a variety of statistical and data mining techniques including: latent class segmentations, discrete choice/conjoint, multivariate and logistic regressions, decision trees, and factor and correspondence/MDS analysis
The ideal candidate may also have other complimentary skill sets including: familiarity with SQL or other advanced data or statistical tools, marketing mix or analysis of scanner data; or even qualitative research methods

Workforce Analytics Specialist Resume Examples & Samples

Act as the functional expert for workforce analytics, integrating data from various sources for analysis requiring the expert use of 1) data mining and extraction, 2) sophisticated query and reporting, 3) statistical transformation, regression analysis, pattern recognition, predictive modeling and 4) data visualization and presentation tools
Prepare and deliver oral and written presentations for HR Leadership on performance success and improvement opportunities. Consults with HR Leaders on what questions to ask and how to tie results to business impact
Keep current on functional, industry and labor market trends and oversee external benchmark efforts to stay abreast of developments in the application and use of workforce analytics and industry standards
Design and manage mid to large-scale research projects
Manage requests for data and analysis from HR and Business Leadership, resulting in the creation of programs, reports and/or metrics to meet user needs and business requirements
Oversee the consistent application of workforce data definitions and attributes, and consults with HR Business Partners (Generalists) and COEs (Specialists) insuring the proper and effective use of people data and metrics
Take the lead in designing and creating reports, identifying trends and outliers, and presenting findings to HR Business Partners, COEs and Leaders
Consult with HR Business Partners and COEs on how to understand and leverage HR metrics; assist in development of analytics capability building across HR
Provide reporting and analytics support to HR Business Partners and COEs to enable business workforce planning activities
Provide ad-hoc reporting and analytics support for large, complex initiatives and requests
Develop and Maintain People Analytic Frameworks to ensure information and insights are relevant to the current business challenges
Superior analytic and problem solving skills
Prior experience in the design and application of research methods (i.e. confidence testing, linear and logistic regression, decision tree, chaid, Cox proportional hazard, etc.)
Proven ability to interpret data and make recommendations for business solutions
Ability to translate data into meaningful metrics and present them in user-friendly dashboards and reports
Strong communication, visualization and presentation skills; proven ability to consult to leadership
Strong business acumen and demonstrated capability for business analysis
Project management experience with managing large, complex, enterprise-wide initiatives
Experience in Human Resources, Operations, Finance and/or Marketing analytics roles a must
Master data management and metadata management skills
Expertise with relational database management tools (MS Access, SQL Server, Oracle)
Experience with statistical modeling and analysis packages (SAS JMP, SPSS, etc.)
Experience with reporting and business intelligence tools (Tableau, MS Power BI, etc.)
Master of Science degree in Human Resources or I/O Psychology preferred
Course work in Statistics, Information Management, Psychology, Sociology and/or Economics principles beneficial to role

Digital Analytics Specialist Resume Examples & Samples

A Bachelors Degree in Finance, Accounting, Mathematics, Statistics, Computer Science or similar discipline or equivalent experience. Even better if you have your MBA
Four or more years of related analysis experience, preferably in a telecommunications or technology industry
Knowledge of SQL (preferably Teradata), Adobe Marketing Cloud Tools (Reporting & Analytics and Test & Target) MS Excel, and MS PowerPoint. Hadoop knowledge desirable
Detail oriented, demonstrates a sense of urgency, effective teaming skills, self-driven with strong initiative
Proven ability to balance multiple priorities to meet stringent deadlines and adaptive to change

Analytics Specialist Resume Examples & Samples

Collect, manipulate, and validate data and business information from various sources
Update and maintain reports and dashboards using Tableau
Manipulate and aggregate data in Excel spreadsheets
Perform data quality checks on reports and dashboards
Ensure data accuracy and errors are addressed in a timely and efficient manner
Update and maintain PowerPoint decks for various analytical projects
Create and maintain documents on various analytical projects
Act as a backup for the Data services team on an as-needed basis
Bachelor’s Degree in a quantitative discipline such as Statistics, Computer Science, Operations Research, Econometrics or Engineering
2-4 years’ experience in data analysis and reporting
Experience using Microsoft Excel and PowerPoint for manipulating and presenting data in pivot tables and charts
Experience using Business Intelligence/Data Visualization tools, such as Business Objects or Tableau
Experience using web analytics tools, such as Google Analytics
A basic understanding of relational databases, data warehousing and schemas
Experience writing basic SQL queries and an aptitude & interest in learning new programming skills
Strong verbal and written communication skills. Ability to communicate complicated information in a clear, concise and actionable manner
Strong team player and ability to maintain performance level in a fast paced Agile environment with changing priorities and deadlines
Passionate about data analysis and curiosity to discover insights
Well organized with strong attention to detail

Advanced Analytics Specialist Resume Examples & Samples

Advanced degree in a quantitative discipline (Mathematics/Statistics/ Physics/Econometrics/Computer Science/Math Engineering or related degree programs); PhD preferred
More than two years of work experience in quantitative analysis/modeling at a top-tier institution
Experience in and knowledge of modeling techniques, predictive advanced analytics techniques, statistics, econometrics, and/or optimization. In particular, advanced knowledge of machine learning, statistical techniques, data mining (regression, decision trees, clustering, random forests, generalized linear models, etc.)
Deep experience with analytical software (especially R or SAS), solid working knowledge of scripting languages (e.g., Python), relevant programming skills (e.g., Java), and database experience (SQL or NoSQL) are beneficial, additional knowledge of other statistical software (SPSS, RapidMiner, etc.) is helpful
Strong international experience and professional service-oriented attitude
Skills to communicate complex ideas effectively
Proven record of leadership in a work setting and/or through extracurricular activities
Fluency in English and Italian
Ability to work collaboratively and effectively in a team environment at all levels of an organization

Junior Analytics Specialist Resume Examples & Samples

Undergraduate or master’s degree in economics, mathematics, statistics, physics, or a related field
Deep knowledge of MS Excel is required
Programming experience in Python, data analysis experience in R are highly welcome
Experience in working with large datasets and relational databases is highly desirable (SQL)
Big Data analysis and Machine Learning algorithms knowledge are also competitive advantage
You are easily able to communicate technical and analytical content in an understandable way in both Russian and English

Troubleshoot & Analytics Specialist Resume Examples & Samples

Minimum Bachelor Degree, in Management, Sciences, or Engineering
Postgre SQL skill will be a plus
Possess working level of English
Fluently making business process flow using visio
Familiar with Excel functions for Data Analysis

Analytics Specialist Resume Examples & Samples

5+ years of experience in wireless telecommunications industry. Preferably in the field of RAN optimization, Network Operation & Management, and/or Test and Measurement
Specialized knowledge in Enterprise-level Data Analytics Software solutions for Drive-test/OSS/BSS data, Network Configuration, Performance and Fault Management and Call Trace and Geolocation
Advanced developer skill sets. Must be able to program with existing and new tools. Knowledge in C#, SQL, Visual Basic and Qlik is a plus, but willingness and capability to pick up new languages is paramount
Competency with drive test tools, network troubleshooting and network monitoring KPIs, KQIs, concepts and jargons is required
Produce project deliverables such as reports, dashboards, documentation and materials such as specifications, requirements, training and handover acceptance docs as required, both as an individual contributor as well as a lead managing resources as dictated by business priorities
Self-starter with ability to take initiative and ownership of plans, tasks and accounts
Experience with customer facing roles and end-to-end project delivery, encompassing requirements gathering, resource and timeline management, development and configuration, and finally acceptance and training. Extensive experience in all aspects of Project Management is a plus

Workforce Analytics Specialist Resume Examples & Samples

Partner with business stakeholders to understand information needs and develop analytical methods to solve a wide range of high-impact people-related business questions
Assess information collected from multiple disparate data sources, reconcile conflicts, perform analysis, work to automate reporting and lead predictive analytics projects
Translate diverse data sets into succinct, actionable business insights, often in coordination with partners who help you tell a holistic story
Effectively work and communicate with partners and end-users to define deliverables, timelines, and responsibilities
Partner with system owners to implement new systems or extend existing system functionality by providing requirements gathering, process and systems analysis, configuration and testing to support the implementation
Solve ambiguous business problems by formulating and facilitating solutions that realize the needs and provide for the requirements arising in the organization
3-5 years of experience in business analysis that drove improved decision-making and superior outcomes; prior experience working with people related data preferred
Exceptional customer focus and project management skills
Strong analytical mindset with demonstrated ability to work in ambiguous situations and across organizational boundaries
Expert level Excel skills (complex calculations, pivot tables creation/manipulation, external data links, macros, VBA)
Strong knowledge of best practices around dashboards and report visualization; Tableau experience desired
Strong knowledge of best practices around self-service business intelligence
Comfortable working with large data sets
Understanding of data mining
Access/SQL programming desired
Strong attention to detail and high commitment to accuracy
Works collaboratively in team environment or independent depending on need
Passionate about client relationships and optimizing impactful analysis-based solutions with the opportunity to train and promote self-serve solutions
Strong presentation skills: able to effectively present developed business insights in business context and in a concise manner
Successful candidate understands the big picture and will approach role with curiosity, flexibility, forward thinking, courage - willingness to question, push back, bring new ideas, great communication skills at all levels with a continuous global mindset

Risk Analytics Specialist Resume Examples & Samples

Provide technical and strategic support for the credit model monitoring effort, including developing and maintaining data collection processes and relevant analytics for Commercial and Consumer portfolios to ensure compliance with regulatory and internal Model Risk Management (MRM) requirements
The qualified candidate will be responsible for analyzing data sources and developing adequate procedures supporting Consumer and Commercial model monitoring effort
This position will work closely with model development teams, business lines, Model Risk Management and Validation, and model performance to ensure that performance management and analytical data are fit for purpose and the data collection and analysis processes are well documented and maintained according to the regulatory requirements
5 years of data and/or quantitative experience within financial service industry, risk management, operations, academic research, or comparable area
Strong knowledge of relational database and data analysis
Strong programming skills in data management software, such as SAS, SQL
Excellent problem solving and decision making ability
Knowledge of risk management principles and practices prefer
Team player with excellent interpersonal and project management skills
Ability to generate informative reports representing complex ideas in a simple form
Self-motivation; ability to function independently and make appropriate decisions
Ability to manage multiple projects and priorities and deliver solutions on time
Must demonstrate leadership, teamwork, accountability, respect, and integrity in performing daily duties
Ability to effectively communicate within all levels of the organization

Reports & Analytics Specialist Resume Examples & Samples

Supporting documentation of performed gap analysis
Changes in existing cookbooks / instruction files, or creation of new cookbook of all reports and metrics
Management reporting and analytics experience with mid-large teams
Excellent in MS powerpoint, MS Excel
Excellent presentation skills, ability to discuss, elaborate on and defend key metrics with all org. levels
Experience with Salesforce.com, Avaya CMS, Tableau. SharePoint
Proficient in VBA, MySQL

Analytics Specialist Resume Examples & Samples

Flexibility - Available outside of US time zone as needed to attend meetings, support audits and interact with teammates outside of the US as needed
Effective communication - Ability to address difficult circumstances; written and verbal communication with teammates, all levels of management and Sales Managers
Time management - Ability to deliver within deadlines
Knowledge of IBM's controls framework, Sarbanes Oxley and audit
Demonstrate business analytical skills - Ability to solve issues
Strong technical skills including PowerPoint and Excel
Business Analytics

Project & Analytics Specialist, VP Resume Examples & Samples

Typically requires Bachelor’s Degree or equivalent experience with 5+ years of progressive experience with a proven track record in the above mentioned job responsibilities
Business line experience strongly recommended
Experience in financial analysis, operations, strategic planning, project management, presentation preparation and delivery to executive management required
Strong analytical, verbal/written communication and presentation skills
Sound ability to partner with other business lines and establish strong relationships with key stakeholders
Ability to make decisions independently and collaboratively
Ability to provide comprehensive financial analysis in addition to complex analytical and financial reports
Requires good reasoning, analytical, interpersonal and organizational skills
Ability to influence others and achieve business outcomes on time and within budget
Must be able to successfully manage multiple tasks with concurrent deadlines
Must be comfortable with shifting priorities, as well as with managing projects not necessarily in primary area of expertise

Risk Analytics Specialist Manager Resume Examples & Samples

At least 5 years of experience in a professional services firm in a context of the services referred to above
A passion for making sense of data, the ability to determine client needs by supplementing standard methodologies and tools with innovative approaches and delivering big data solutions to address the most complex challenges our clients are facing
Experience in managing, strengthening and broadening key client relationships, as well as an existing network of potential clients

Digital Optimisation Analytics Specialist Resume Examples & Samples

Developing digital marketing strategies for our clients including defining the opportunity, creating the business case and developing the requirements to implement the strategy
Be a passionate champion of customer segmentation strategies, using cluster analysis, predictive modelling and leading edge analytical techiniques,
Proposing, contributing to, and verifying multivariate testing and targeting/personalization strategies that help our clients solve their most challenging problems
Be part of the team through all phases of a project lifecycle including developing RFPs, proposals, contracts, planning, discovery, workshops, experiments, blueprints, go live
Work with outstandingly talented people across digital disciplines
Potential for overseas travel. Cool right?
Hands-on strong work experience with SiteCat, google Analytics, Web trends and similar tools
Hands on experience with MVT platforms such as Adobe Test & Target, Maxymizer, Optimizely
Hands on experience with reporting and visualization solutions such as tablo, qlik
Ability to work within a multi-functional (analytics/technical/marketing) team on multiple projects, managing timelines and communicating risks/issues
Strong understanding of digital marketing and how digital data is captured across channels (including web sites, paid and organic search, display media, email, social media)
Working knowledge of taguchi modeling and/or experimental design would be highly regarded
Knowledge of web optimisation and/or web analytics tools would be highly regarded

Analytics Specialist / Senior Resume Examples & Samples

Supports delivery of end-to-end reporting and analytics activities for US Global Mobility teams / function and processes
Works under the direction of the Strategy and Reporting and Analytics Lead for enterprise-wide reporting and analytics required to support US Global Mobility teams / function and processes
Teams closely with Reporting and Analytics Support in the USI
Supports Strategy and Reporting and Analytics Lead with
Results oriented with a strong eye for details
Strong analytical, research, and problem solving skills
Ability to summarize information received from others into reports and presentations
Working knowledge of report development concepts and analytics methods
Understanding of Global Deployment types and implications for reporting
Familiarity of Deloitte’s Businesses
Advanced proficiency in MS Excel, PowerPoint, and Tableau required
Experience working on reporting and analytics processes and programs
Experience with business intelligence tools and technologies
Typically requires a minimum of 3 to 5 years of related experience (Specialist level)
5 to 10 years of directly related experience (Senior level)

Fixed Income Analytics Specialist Resume Examples & Samples

Master’s degree, preferably in finance or a mathematical discipline
Deadline oriented and highly organised
Someone who takes pride in attention to detail and accuracy
Advanced excel skills essential and VBA beneficial
Knowledge of Fixed Income markets, instruments and strategies (including derivatives) beneficial
Knowledge of fixed income attribution techniques beneficial
Self-motivated and able to work independently
Strong inter-personal skills and effective communicator

Analytics Specialist Resume Examples & Samples

Proven understanding of marketing funnel mathematics, with ability to identify key underlying data sources to support construction of logically sound marketing funnels
Understands trends and future data-driven marketing capabilities. Knows the data infrastructure implications of data-driven marketing strategy
Proven Unica Expertise and Marketing Automation Knowledge
Project and time management skills Proven communication and problem solving capabilities
Knowledge of analytical tools like Tableau, Watson Analytics SPSS

Advanced Analytics Specialist Resume Examples & Samples

Support Sr. Specialists and Managers in providing analytic consultingand primary market research expertise to Bain case teams and clients worldwide
The Advanced Analytics Specialist will work with case teams to assess data needs, design primary research projects, and propose analytical solutions to provide practical, value-added answers to the client and case teams
Design sample specifications and develop surveys that will deliver actionable information
A Master’s Degree or Ph.D. in Statistics, Economics, Mathematics, Engineering or Market Research. Previous work experience in a related field a plus
Experience with R, SPSS or SAS. Python would be advantageous
The Advanced Analytics Group is a cohesive team providing support to consultants working for high profile clients throughout the world
The groups’ expertise is highly leveraged through focused efforts on hundreds of projects across a broad spectrum of applications and industries. Results and recommendations lead to strategic initiatives with huge impact on organization direction and success

VP, Market Risk Analytics Specialist Resume Examples & Samples

Act as lead liaison with all involved parties, coordinating readiness compliance with the Market Risk Rule
Provide coordination and analysis for Market Risk Oversight Committee meeting packages, including presentation of analyses as required, and maintenance / development of Market Risk Oversight Committee governance
Maintain complete documentation of Market Risk Rule compliance, and monitor current regulatory views on the rule, leading any required changes or additions
Possess understanding of Value at Risk calculations and uses in financial institutions
Responsible for oversight and maintenance of vended VaR models, ensuring compliance with regulatory expectations and documentation aligned with internal guidelines
Provide oversight of model results, ensuring actions are within policy expectations and assist with investigation and explanation of anomalies
Partner with Product Management, Lines of Business, Global Capital Markets and other areas in the bank to gain understanding of product strategies and behavior
Effectively communicate to management the results of analyses and their impact on Comerica's performance. Propose and quantify actions to help offset risks
Bachelor Degree and 4 years of financial services experience
2 years' experience in regulatory and capital markets

Predictive Analytics Specialist Resume Examples & Samples

Use directed and undirected modeling techniques in the development and testing of sophisticated predictive models in all areas of insurance. Examples include claims, growth opportunities, marketing, underwriting, pricing, expense reduction and many others
Work with our IT partners to develop solid modeling database files and thoroughly analyze and test the data in order to identify issues that could potentially have an impact on the model results. Develop unique solutions to any data integrity issues
Utilize text mining techniques in order to take full advantage of available unstructured data during the data science and model building process
Work closely with members of various interdepartmental teams seeking to identify and implement new initiatives based on data science/predictive modeling solutions
Design and present data science and predictive modeling project results to management and the project team
Use statistical techniques to enhance the value of existing databases with unique data modeling, analysis, and integration opportunities
Utilize appropriate statistical software and features in existing predictive modeling software in order to identify new techniques, business rules solutions or other applications for projects
Participate in the evaluation of statistical software products for various enterprise applications
Provide training and support to junior statistical modelers and other actuarial coworkers in the areas of data science and predictive modeling
Strong statistical, general analytical, and logic skills, plus a range of data science and predictive modeling experience using appropriate statistical software applications
Must be detail-oriented and be able to understand and use large flat files and relational databases
Must have expertise using statistical analysis techniques including multivariate methods: (OLS, GLM, Logit/Probit, GLZ, Trees, Survival, etc.), experimental design, and optimization
Must be proficient in MS Word, Access, and Excel
College degree required (prefer graduate degree) in statistics, mathematics, business, or related field
At least 5 years of progressive experience in data science, statistical analysis and data modeling
5 years of experience with statistical softwares
Insurance industry experience preferred

Risk Analytics Specialist Resume Examples & Samples

Prepare the reports for senior/executive management and various business, risk management, and finance partners
Improve the regular reporting process to achieve maximum efficiency as well as, support the identification and design of new reports
Provide support for special executive management information requests in support of Quarterly Analyst Calls, etc
Support the deep insight analyses into specific loss monitoring requests and conduct relevant research/analysis
Maintain up-to-date documentation of all reporting processes
Support the Manager with update of key portfolio and other external economic metrics required for the monitoring process and associated processes to identify key portfolio trends

Workforce Analytics Specialist Resume Examples & Samples

Experience in analysing and reporting
VBA and R Programming experience desired, SQL is a plus
Prior experience with building reporting tools and proficiency in data visualization (tableau)

Workforce Analytics Specialist Resume Examples & Samples

Bachelor’s Degree in business or applied psychology or social sciences, with emphasis in statistics
Up to two years experience with data management and analysis, with exposure to workforce metrics, process improvement, operations/methods analysis
Intermediate level of knowledge of multi-variate statistics, research, program evaluation and measurement methodologies, progressive project and/or process management responsibilities
Demonstrated experience with data analysis tools such as MS SQL, Tableau, JMP, as well as enterprise human resources systems e.g., Peoplefluent talent suite, SuccessFactors

Analytics Specialist Resume Examples & Samples

Provides support for processing associates records and data transactions that include new hires, rehires, transfers, job/comp changes, terminations, etc
Provides support such as preparing correspondences, forms and reports, arranging meetings, composing regular correspondences, processing confidential reports and documents, filing electronic and hard copy, tracking deadlines, and taking minutes as needed. Provides support for HR Generalists and Managers
Assist with HR services such as HR employee transactions, drug screenings, background checks, employee files, and other HR services
Perform other HR related duties and support HR projects as assigned to support internal business clients
Bachelors’ degree in Business Administration or related field preferred
Ability to establish business relationships with all levels of the organization
Strong presentation skills are required to present to large groups and maintain multi-level communication flow
Effective training skills are required to develop and manage relationships with peers, management, and outside supporting resources
Must be able to maintain confidentiality with private and crucial information
Must manage sensitive and confidential matters
Must have the ability to manage several assignments and tasks concurrently

Watson Analytics Specialist Resume Examples & Samples

Presentation skills, use of alternative presentation delivery methods
Awareness of Energy and Utilities industry
Awareness and knowledge in latest trends and IBM growth plays – Cloud, Analytics, Mobile, Security, Social, Cognitive, Watson
Client facing skills, consultative skills
Testing, system analysis, business analysis

Analytics Specialist Resume Examples & Samples

Be the main point of communication between the San Diego Union-Tribune and vendor partners as directed
Facilitate tag management and pixel tracking systems and troubleshoot implementation
Develop and manage project timelines, resources, and budgetary requirements for various size projects with both internal teams and outside vendors
Handle multiple projects in a fast-paced environment with a high level of service orientation
Ensure proper post sale execution of white glove accounts as directed
Minimum 3 years of related analytics, digital marketing, or online advertising experience working within a multi-media company is required
Professional experience collaborating in an Agile environment on large-scale projects
Proficiency with a range of relevant digital marketing platforms including, but not limited to, DFP, Facebook business manager, Google Adwords, Google Analytics, Google Tag Manager, Demand Side Platforms and Tap Analytics
Exceptional analytical, verbal, and written communication skills, including conflict resolution skills
Excellent organizational, analytical, and problem-solving skills

Analytics Specialist Resume Examples & Samples

Meticulous attention to detail in striving for 100 percent accuracy
The ability to work both independently on a project and as part of a team
Strong technical skills and the ability to understand ESPN’s data structure
Demonstrated excellence working with multiple departments to achieve a common goal

Analytics Specialist Resume Examples & Samples

Relevant degree or 3 to 5 years of relevant experience
SQL and statistical analysis experience preferred
Proficiency with Microsoft Excel and Access
Exceptional degree of intellectual curiosity
Working knowledge of OBIEE, Microsoft BI, and similar
Demonstrated experience facilitating requirements gathering sessions
Experience with automotive/industrial/marine service operations and/or sales a plus
Ability to quickly absorb and deploy new technical concepts and tools
Must comply with safety rules and regulations and apply them to daily work routines for personal safety and the safety of others

Analytics Specialist Resume Examples & Samples

Manipulate data so that it is cleaned, organized, and easily accessible to collaborators
Administer surveys
Analyze the quality of incoming data
Analyze qualitative and quantitative data
Work with others to identify user journeys relevant to Google products
Assist with creating reports (including graphs, slides, etc)
Communicate findings from the studies to the research lead

Market Analytics Specialist Resume Examples & Samples

Develops complex forecasts, using multiple data points and points of view to give the organization early indicator of market size and market share results. Continuous updates as new information becomes available
Independently manages projects; organizes data and information in conjunction with a clear and rational thought process to assess and understand issues, evaluate options, form accurate conclusions, and compile insights and results into a presentable finalized work product
Develops and analyzes very complex data on market, customers, and competitors and makes recommendations regarding product performance, sales, marketing and distribution through Market Landscaping process
Develops very complex primary and secondary research and survey design tools to determine customer satisfaction levels, customer expectations, market conditions, company image
Organize multiple assignments, involving the appropriate business partners, complex nature or of competing priorities, to produce work product that is accurate, thorough, on time and on or under budget

100

Digital Analytics Specialist Resume Examples & Samples

Running and creating a variety of digital analytics reports for a variety of different needs (analysis, troubleshooting, presentations, etc…)
Managing some of the day-to-day tasks that are a regular part of digital analytics work
Working with many different individuals on our team and within TBC Corporation; forming and developing professional relationships with many different individuals
Coordinating regular weekly / bi-weekly / monthly calls and/or meetings to review analytics reports with key franchise business consultants across the Big O Tires organization
We will actively encourage you to subscribe to industry blogs, sign-up for webinars, and sit in on meetings so that you can have maximum exposure to the digital analytics industry, especially during your first few months of employment
Assist with QA efforts when new website features and tracking methodologies are implemented
BA/BS degree in Communications, Marketing, Business, or degrees in sciences such as Computer Science, Statistics or Mathematics
Between 1-2 years of experience in digital analytics or in digital marketing (SEM, SEO, Email Marketing, or Social Media). We will also consider candidates with less experience
Agency experience is a big plus, especially if the candidate’s role was focused in client services
Excellent proficiency using MS Excel or Google Sheets (Docs) and in using MS PowerPoint or equivalent
Hands-on experience with AdWords, DoubleClick, Marin Software, or other SEM tools is a plus
Knowledge of platforms such as competitive intelligence tools, A/B testing and personalization platforms, and live session recording / heat-mapping tools would also be a plus
Very strong attention to detail and an “eye for investigation” are specific qualities that we are looking for in candidates
We’re also looking for a candidate with a great “client-facing” attitude – that can be very friendly, patient, and caring with the people they would be interacting with
An ability to learn new tools quickly, self-motivation and an overall willingness to learn are additional qualities that we would like to have from a candidate
A positive, team-oriented attitude and approach to your work is an absolute requirement for hire. You must be a good fit with our team in order to be considered for the position

101

Senior Analytics Specialist Resume Examples & Samples

Five (5+) years of recent, relevant experience + Bachelor’s Degree
Modelling experience with : SAS, SQL, R, SPSS, or Python
Experience with data visualization programs, such as Tableau, Spotfire, or Qlik
Experience with statistical methods and models, including testing, forecasting, and modeling
Familiarity with Lean/Six Sigma/Agile principles

102

Analytics Specialist Resume Examples & Samples

Determines key implications and impact to the business by analyzing national and market specific data and interpreting the results
Identifies and consolidates internal and external data sources and develops single view of the customer
Develops actionable framework for identifying growth opportunities and assessing market potential
Manages all data analytic projects such as Econometrics (excluding data base)
Develops and coordinates all info, including but not limited to market share, trade area, cannibalization, consumer spending, demo/psychographic profiles, competitive analyses and other customer intelligence inputs
Serves as a strategic partner with all functions in the organization and provides them with data analytic support
Prepares annual data analytics plan to support business objectives
Previous knowledge of data analytics gained either from the agency or client side
Knowledge of Microsoft office, data analytics and tools associated with data analytics
5-25% Travel (1 day per week on avg.)

103

Senior Analytics Specialist Resume Examples & Samples

Bachelor’s degree in a Technical or related healthcare field with 5+ years professional level experience or an equivalent combination of education and professional level related technical experience desired
Proven results developing and delivering analytics for Population Health programs either within provider, payer, consulting or vendor organizations
Proven results using SQL and other analytics applications such as SAS, SPSS and R
Proven results communicating the results of complex analyses to administrative and clinical audiences
Strong experience working with healthcare data including claims and clinical data
Expertise with Business Intelligence tools, such as SAS, Tableau, Qlik, or Business Objects
Experience gathering business requirements and helping transform them into implementable solutions
Strong planning and organizational management skills

104

Modeling & Analytics Specialist Resume Examples & Samples

Driving commercial momentum across all aspects of FMA, playing a key role in client solicitations and product development (e.g., be an active stakeholder in all aspects of client-level dialogue – including executive level interaction – related to FMA’s analytical capabilities and asset class / product suite)
Serving as the central point of coordination with other relevant constituencies at the firm including, the BlackRock Solutions (“BRS”) Financial Modeling Group (“FMG”), 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)
Providing oversight on the quality of all analytical deliverables across the department, through the development and execution of a consistent quality assurance process
Define and develop procedures and standards for modeling content and related documentation supporting project needs, and clients’ business and model validation requirements
Liaise/collaborate with asset/market experts in customized model development process
Serve as subject matter authority on modelling and model validation best practices, staying current on latest sector-specific regulatory guidance, developments and trends
Stay abreast of relevant technology and software development trends in the industry and determine their applicability to the Advisory business
At least 2 years of professional experience either in developing, implementing and/or validating models using underlying methodologies relevant for FMA projects (e.g. statistical, behavioural, structured finance analytics)
Experience with several scripting, data management, and / or visualization tools as well as programming languages, e.g. VBA, R, Python, SAS, and SQL – Knowledge of SAS and 1 object oriented language a plus
Prior experience in code design and architecture (modularization) and use of collaborative frameworks to ensure consistency (incl. quality controls) of team production (incl. coding standards, code reviews and code repository)
Superior organizational skills, self-starter and ability to perform under pressure and manage 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
Fluent English a prerequisite. Fluency in additional European languages is an advantage

105

Analytics Specialist Resume Examples & Samples

Bachelor’s degree in a Technical or related healthcare field with 3+ years professional level experience or an equivalent combination of education and professional level related technical experience desired
Experience with Population Health or Public Health. Familiarity with PHM programs including knowledge of HEDIS, PQRS, MIPS, ACOs, CINs etc
Experience working with healthcare data including claims and clinical data
Experience with Business Intelligence tools, such as SAS, Tableau, Qlik, or Business Objects
Demonstrated ability to use problem solving and analytical skills to build fact based business cases
Strong communication and technical writing skills

106

Temporary Digital Analytics Specialist Resume Examples & Samples

Regularly assemble data from various disparate sources (from multiple analytics suites, developer portals, etc) into consolidated reports/dashboards using SQL scripts and Tableau. Develop methodologies for aggregating results from various programs and campaigns
Build, improve, and maintain reports, dashboards, and tracking metrics to monitor the performance of our products and content
Ensure reporting is consistent, accurate and actionable
Develop/document (collaborating with team) data solutions design for tracking needs across all digital platforms, new features or platform launches
5 years experience including using Adobe Analytics (implementation and reporting) and Google Analytics and other analytics tools (e.g., Nielsen, comScore, various social analytics tools such as Facebook Insights, Chartbeat) to mine data, create reports and provide insights
Advanced Excel skills (Pivot tables, vlookup, etc.), SQL, and Tableau. Familiarity working with databases
Ability to think creatively and tell meaningful, actionable stories with data
Solid communication skills, both written and oral - capable of summarizing complex results into digestible recommendations for further analysis or feature requirements
Must be detail-oriented and focused on data accuracy
Strong analytical ability, critical thinking and proactive problem solving skills
Independent self-starter who embraces a team-oriented and collaborative approach with a desire to learn new methods and tools

107

Event Configuration Dashboarding & Analytics Specialist Resume Examples & Samples

Apply statistical theories and methods to solve practical problems from an Event Management/Event Monitoring perspective
Ability to research, analyse, and interpret data
Decide what data are needed to answer specific questions or problems
Creating and building Dash boards.5. Perform experiments to determine whether right data is capturing for dashboarding
Collect data or train others to do so
Analyse and interpret data
Report conclusions from their analyses
Determine, suggest methods for finding or collecting data for multiple dashboarding
Assessment/suggestion should be backed by proven methodology and strong data-driven assessments
Implement trending statistical methods to solve problems
Analyse large data set using various statistical packages
Participate and work in problem-solving teams
Present results verbally and in writing
Develop mathematical/statistical models to hunt for meaningful patterns and insights in vast troves of data

108

Organizational Effectiveness & Analytics Specialist Resume Examples & Samples

Work closely with HR and Business Leaders and to identify the Organization elements to a business problem, and co-create solutions to address the opportunity
Build prototype tools and new ways of modelling OE and Analytics, including the use of both HR and non-HR data sets (e.g. Finance, Productivity tools)
Effective project leadership related to OE, Analytics, workforce planning and employee insights – across employee and non-employees
Partner with ETS I&A and data scientists to develop breakthrough solutions
Responsible for applying new technology, predictive analytics, insights and AI into talent management, succession planning and development practices
Unilever’s various business units provide a host of exciting opportunities for an experienced OE and Analytics candidate. Coupled with our rich sources of data and the OE and T&O agenda being such high profile, there are real opportunities to make material improvements to our business and how we operate
1+ years prior work experience supporting OE and Analytics projects
1+ years’ experience working with large sets of HR related data – including spread sheets, integrated report, finance data etc
Intermediate to advanced Excel (including use of VLOOKUP, SUMPRODUCT, Pivot tables)
Rigorous yet creative analytic approach that enables superior business outcomes
Able to translate business objectives into actionable analyses
Able to communicate findings clearly to both HR and non-HR audiences

109

Risk Analytics Specialist Resume Examples & Samples

Participate in implementation of predictive models for risk analytic
Work with business lines, production teams and infrastructure teams to define highly complex business requirements, design technical solutions and implements models
Ensure the model implementations are consistent with the design as specified by the modeling team
Contribute to the maintenance of the operational processes for the models, providing programming support to incorporate the changes resulted from periodic model updates and operational enhancements
Define test cases, perform testing and support remediation efforts
Contribute to data analysis required for developing and implementing new models to support on-going initiatives for business line partners
Maintain large data sets using advance tools and willing to pull datasets directly from source systems. Work with appropriate parties to resolve or remediate data quality issues
Prepare ad-hoc risk quantification projects at the request of management
3+ years of experience in financial industry
Strong understanding of commercial and or retail banking and lending products
Prior experience in credit risk or loss forecasting models, both in retail and wholesale portfolios
Background and knowledge of the Basel rules and regulations
Understanding of compliance and implications of Basel, FDIC, Federal Reserve regulatory frameworks as well as U.S. and International accounting standards
Strong knowledge of statistical software packages; previous experience in data mining, demonstrated experience / expertise in problem solving
Extensive understanding of relational databases and ability to effectively utilize statistical software – SAS, Stata, Python and R
Advanced programming knowledge in SQL, SAS, Python, C, C++ or Excel VBA

110

Analytics Specialist, Audience Engagement Resume Examples & Samples

Help shape, measure and report KPIs for engagement and impact programs. Create and monitor site traffic and further develop dashboards to drive engagement and other key success metrics. Provide insights to optimize the site for engagement and traffic and publish regular performance updates and executive dashboards for the brand’s website, blogs, Facebook, Twitter and other owned social/digital properties. (20%)
Communicate analytics, insights, learning, analysis and recommended actions. Monitor and regularly communicate industry trends, best practices, etc. Provide presentations and training for Digital team and others as required to help foster an insights driven digital culture focused on constant improvement and overall success (20%)
Use data to segment and identify influencers for various audiences segments, e.g. segment audiences across topics, engagement channels, interests and content types (15%)
Develop audience and influencer scoring system. Continuously use insights to optimize influencer scoring and segmentation and scale this effort through various means such as Machine Learning and Artificial Intelligence techniques (15%)
Identify types of content that users/influencers are engaged with, what is working vs. not, etc. to inform content strategy (10%)
Use analytic and reporting tools as required (e.g. Google Analytics, Facebook Insights, Twitter Analytics, social listening, etc.) (10%)
Create mapping and taxonomy across content areas, target audiences and influencers to help with overall outreach and audience growth/engagement (5%)
Perform analysis of brand social accounts and create audience segments and audience influence scores. Keep an eye on industry trends and best practices. Identify opportunities where content can further drive engagement and help audiences discover the content where those opportunities exist (5%)
Demonstrated success in data analysis and reporting for audience development
Use of data to segment and identify influencers for target audiences
Proficient in SQL, R and Python
Pro-active self-starter with a “can do” approach to problem solving who thrives with hard challenges and approaches problems with a data-driven mindset
Experience developing dashboards for all levels of internal users, from executives to junior members of the team
Deep understanding and skills in segmentation strategies and tactics
Proven track record of creating scoring systems for influencers and content
Proficient at using a wide range of analytics and reporting tools, e.g. Google Analytics, Facebook Insights, etc
Strong collaborator with excellent presentation, communication and organizational skills

111

Digital Analytics Specialist Resume Examples & Samples

Serve as an in-house web analytics expert supporting the frontgate.com and grandinroad.com websites
Provide digital marketing insights into traffic behaviors, conversion influences, and landing page optimization opportunities
Conduct in-depth analysis of merchandising, category, site search, and navigation usage across the sites
Provide routine inbound traffic analysis and forecasting
Develop and maintain new reporting and dashboards to support internal stakeholders
Support site testing campaign setup and analysis as needed
Support personalization efforts by leveraging content management systems to set up targeted experiences for various user segments
Conduct analytics training to cross-departmental team members as needed
Execute site tagging troubleshooting and implementation
Communicate key learnings and results to internal stakeholders and provide recommendations to optimize website moving forward
Constantly stay in tune with analytics platform enhancements and industry developments that could benefit the organization
2+ years’ experience with a web analytics platform, Google Analytics preferred
Experience with A/B and multivariate testing platforms
Knowledge of site tagging fundamentals for web analytics and 3rd party marketing partners
Proven ability to solve problems by leveraging data analytics
Strong verbal and written communication skills and ability to tell a story using data
Experience working with retail clients or transactional-based businesses
Knowledge of e-commerce site infrastructure and digital marketing suite

112

Consumer Insights & Analytics Specialist Resume Examples & Samples

Execute redemption analysis and ensure that all the activities are tracked and measured
Consolidating sales data and preparing client retention/sales reports; post activations/activities analysis
Generating biweekly & monthly reports for business review; and ad-hoc customer insight reports to support other internal department
Analysing client’s purchasing behaviour prior to, during and after events
Preparing profiles of clients participating in client activities/treatments/gifting
Coaching & Training of users on Client Engagement Applications such as Klienteling Web, DCC tools
Ensure local data collection is compliant with data protection regulations; quality of data collection
Data Quality Management – Data Cleansing & Deduplication, review & comment on periodic data quality report from Corporate etc
Marketing Campaigns Management
Direct Mail Management – Generate mailing lists in compliance with corporate guidelines, establish campaigns & run analysis
ECards Management

113

Text Analytics Specialist Resume Examples & Samples

Develop and improve annotators for vehicle safety hazards using a COTS classification engine using ontologies as an input
Write Python code to write and improve annotators or machine learning models for vehicle safety hazards using text mining libraries
Leverage ontologies and word2vec models as an input to annotators
Analyze data to extract keywords of interest and other keyword research tools as an input to the deterministic rules
Gather input from internal stakeholders to gather search terms and as an input to the vehicle safety annotators
Measure accuracy of annotators using precision and recall
Understand data sets and nuances as it relates to creating deterministic rules
Provide requirements to IT as required for annotators capability
Participate in technical conferences, meetings, panels and other vehicle safety forums
Bachelor's degree in Applied Statistics/Mathematics, Computer Science, Engineering, Operations Research or related field
Previous experience with NLP, text mining, or ontologies
Python programming experience
Previous experience with data mining, analytics and machine learning
Strong quantitative skills and business acumen required
Strong interpersonal communication and collaboration skills
Must be a self-starter
Willingness to learn new skills and methods as needed – continuous learning mindset
Must have strong drive for results
Master’s degree in Applied Statistics/Mathematics, Computer Science, Engineering, Operations Research or related field is highly preferred
Hadoop, Hive, Spark experience
Vehicle Engineering or Automotive Experience
Previous experience with keyword research
Understanding of vehicle safety technologies including design intent, function and intended performance in the field
Knowledge of GM IT systems and processes, especially in the areas of Engineering, Quality/Warranty, Customer Care and Aftersales, or OnStar
Multilingual competency is a plus

114

Digital Analytics Specialist Resume Examples & Samples

Executes digital analytics reports and dashboards in Business Objects, Excel and Omniture
Curates DPI’s Analytics Portal and data archive
Worked on Web Intelligence reports based on SAP business object
Business Intelligence concepts is an essential
High proficiency with Microsoft Excel and strong data analytical skill
Familiarity with standard click stream analysis tools: Google Analytics, HBX, Omniture, WebTrends, CoreMetrics, etc
Familiarity in data modeling skills with knowledge of SQL
Bachelor’s degree in computer science, information technologies, statistics, or other related field
Minimum of one year experience in a similar position

115

Analytics Specialist Resume Examples & Samples

Advanced degree in a quantitative discipline, e.g., statistics, applied mathematics, econometrics, economics, operations research, or marketing science
Full fluency in analytic/database management software such as R. Python, SAS, SQL, SPSS or Access
2-3 years work experience in statistical or heavy numerical analyses in CLM, Marketing Analytics or Service Operations/Customer Experience
Professional attitude and service orientation; team player Ability to communicate effectively in English, both verbally and in writing

116

Analytics Specialist Resume Examples & Samples

Advanced quantitative degree (Masters or Ph.D. in computer science, mathematics/statistics, engineering, or physics) with a demonstrated track record of publications
3+ years of hands-on work experience in statistical or heavy numerical analyses
Exceptional communication skills, especially around translating technical knowledge into forms that can be digested leadership and non-technical project teams
Broad experience applying analytical techniques in innovative ways to solve a variety of problems across industries or functional areas
Distinctive expertise in one of the following machine learning / AI areas: natural language processing, deep learning, anomaly detection, or graph-based techniques
Solid expertise using core statistical learning algorithms including linear models, segmentation, dimension reduction, ensemble models, SVMs, and kernel methods to analyze large structured and unstructured datasets
Very strong experience programming (beyond simple scripts) in a modern scientific language (e.g., Python, Matlab, R) and some experience with Java, C#, C++, or C. Knowledge of SQL and SAS would be a plus
Strong experience in, or a desire to learn about risk management, including operations risk, anti-money-laundering, fraud detection and credit risk
Demonstrated business intuition and clear expertise in analyses
Ability to describe from start to finish the analytic processes in their area of expertise, including when and why they favor specific approaches

117

Asset Protection Analytics Specialist Resume Examples & Samples

Administers and maintains Asset Protection system(s)/application(s), programs and tools
Maintains and administers exception based POS software. Adheres with controls to ensure data integrity
Maintains system documentation and user procedures
Provides analytical support to research and identify system improvements and or moderately complex system problems
Responds to routine user problems with software/hardware configuration or usage. Assists in resolving routine system problems
Assists with system upgrades and testing
Maintains department metrics for reporting purposes
Maintains digital records and remote viewing software applications. Logs all video tapes and digital footage
Provides regular updates on system performance to supervisor
Performs a variety of routine analyses and audits
Gathers, analyzes and manages data related to POS exceptions, audits, shrink and inventory
Reviews exception reports; identifies, monitors and analyzes trends. Draws routine correlations between data from disparate sources (i.e., shrink, POS, audit, inventory, claims and fraud investigations). Identifies key breakdowns in policy or systems, forms hypotheses, presents findings to supervisor and makes recommendations for areas/cases requiring further investigation and/or additional controls
Identifies and researches exceptions, suspicious transactions and/or fraud utilizing sound data mining methodologies. Reviews associated video and documentation and prepares cases for investigation
Runs routine reports and distributes actionable data to business leaders
Partners with Investigators, Auditors, claims adjustors, law enforcement and other internal contacts to assess data needs, support investigations, provide technical research and analytical support
Monitors and documents investigations in case management system
May monitor sweeps reports to verify card swipes and ensure compliance
May perform Support Center securities responsibilities
Act as lead receptionist for all security-related functions, to include escorting, badge log, Raley’s Support Center and Raley’s West incident response and reporting, or handling persons of concern in or around Raley’s Support Center and Raley’s West offices
Support termination proceedings, issuance of legal warrants or other legal summons notices, or other potentially threatening situations to include workplace violence, Employee altercations, or abuse of person or property at Raley’s Support Center and Raley’s West offices
Monitor all Support Center and Raley’s West surveillance cameras and be available for times when security is needed for third party contractor activity (i.e., elevator maintenance, etc.)
Maintains current knowledge of industry trends and asset protection system(s)/application(s), programs and tools
Maintains ongoing communication and positive business relationships with all internal customers as well as vendors
High School Diploma or G.E.D. and three (3) to five (5) years of experience in retail asset protection or auditing, or the equivalent combination of education, training and experience
Working knowledge of asset protection theories, policies and practices
Working knowledge of retail and department operations
Knowledge of exception management theories and practices
Working knowledge of retail investigation techniques
Working knowledge of local, state and federal regulatory requirements regulatory requirements related to asset protection
Working knowledge of specialized asset protection systems
Knowledge of inventory and audit practices
Ability to apply intermediate skills in analysis of data
Ability to operate a personal computer and related word processing, spreadsheet, presentation, database management software and other specialized software programs in area of specialty
Ability to operate and utilize a variety of specialized tools as required in field of specialization
Ability to analyze data and identify trends and exceptions
Ability to work with mathematical concepts such as probability and statistical inference
Ability to communicate effectively, both verbally and in writing
Planning, organizational, analytical and problem solving skills and attention to detail

118

Analytics Specialist Resume Examples & Samples

Senior DI Specialist
DI Working Groups and forums
Managers, teams and SMEs in the businesses and shared services
Project managers, BAs, test team and infrastructure teams
Be an advocate for the value added by collaboration with DI through working groups and DI forums
Assist the businesses in maintaining a clear backlog of prioritised work for the wider DI team
Develop a high profile across all business units and shared services to ensure best practice is shared
Make suggestions and recommendations of tools, processes and best practice based on observations or experience both inside and outside of the business
Support of analytics/visualisation tools
Provide ad-hoc analytics resource to the businesses as demand requires
Have an awareness of risk assessment and FCA regulations highlighting key risks and issues
Natural relationship builder who easily wins the trust of people and is able to work in harmony with all types of personalities
Driven and passionate individual who demonstrates motivated behaviour to everyone they have contact with in the work place
Enjoys a challenge in an ever-changing environment and approaches challenges with a methodical solution oriented mind-set
Demonstrates advocacy and promotes their area of expertise in a positive, non-technical and understandable manner
Has a thirst for knowledge and is a self-starter seeking to develop themselves and their team for the benefit off the business
Extensive recent experience in an analytics or data related role, preferably in the Financial Services industry
Extensive recent experience using and developing analytics and data visualisation tools, preferably Oracle
Business Analysis experience, specifically requirements gathering and documentation
Excellent database and query-writing skills, preferably Oracle

119

Consumer Insights Analytics Specialist Resume Examples & Samples

Support the Consumer Insights Manager to evaluate and optimize new products and marketing communications
Select appropriate target markets and analyze data to draw both qualitative and quantitative conclusions
Transform raw data into formats that facilitate analytic processing (e.g. excel, SPSS) and conduct analysis that incorporates demographic and behavioral/usage variables
Convert findings into written reports and present research findings to internal customers as needed
Assist the Consumer Insights Team as needed with all aspects of any in-house managed primary research design and execution activities including: screener design, participant recruitment, survey or moderate guide design, survey programming, data collection, data analysis, report writing and presentation delivery
Bachelor’s degree required in business, marketing, market research, statistics, economics, or other related field
2-3 years of market research experience in a consumer goods industry
Quantitative experience with statistical analysis abilities to create neutral, data-driven recommendations
Deep intellectual curiosity about consumer behavior
Experience in consumer research (methodology design, sample design, etc.)
Experience or knowledge in a variety of qualitative research techniques (focus groups, IDIs, ethnographies, triads/dyads, consumer diary, web boards, event intercepts, etc.)
Proficiency with MS Office applications, especially Excel (for analytics) and PowerPoint, any experience with statistical software (e.g. SPSS) is a plus, as well as online survey tools
Fast paced, independent thinker with the ability to plan projects before going into execution

120

RR & Analytics Specialist Resume Examples & Samples

Prepare daily, weekly, monthly, quarterly, yearly reports in scope
Prepare ad-hoc reports for FDs/FP&A
Participate, initiate and lead process improvements
Ensure on-time delivery and reports quality targets are met
Develop an understanding of the underlying business in order to challenge, validate and explain the numbers

121

City Analytics Specialist Resume Examples & Samples

Conduct analytical deep dives into your market to understand passenger behavior, driver behavior and competitive dynamics
Diagnose problems and identify drivers for growth
Forecast high-level KPIs for the market
5+ years of experience in an analytics role or equivalent; management consulting background a plus; experience with supply chain analytics and logistics a plus
B.S. in economics, applied math, statistics, engineering or other quantitative field
Experience building models in Excel

122

Senior Bussiness Analytics Specialist Resume Examples & Samples

5+ years experience partnering as a Business Consultant, Business Analyst or Data Analyst or Analyst leading the project team in translating data & insights into stories, headlines & recommendations that the business can use to drive impact
Relevant progressive work experience applying methods to business problems, driving improved decision-making and outcomes
Demonstrated business experience; self-motivated, confident working at a senior executive level and comfortable working in a matrixed organization
An attention to detail with self-discipline and a drive for results
Extensive problem solving skills, self-confidence, and leadership qualities
Ability to create effective relationships, listen, communicate, influence, and collaborate cross-team at all organizational levels
Experience in Microsoft systems and data and proficiency in at least one of the following languages, preferably both: SQL, C#
Experience in Big Data environments e.g. CRM
Basic Data manipulation and analytics proficiency, using R, SPSS, or similar language

123

Metrics & Analytics Specialist Resume Examples & Samples

3+ years of experience with developing analytic reporting required
3+ years of experience with working on and leading or managing projects required
3+ years of experience in developing tools to automate reporting
Ability to collaborate with senior level business leaders and stakeholders required
HS diploma or GED and 7 years of experience in reporting or analysis or BA or BS degree in Business, Finance, Information Systems, or Computer Science required
CSLP or ECSP Certification
TIL Foundations Certification preferred

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