Consultant, Analytics Resume Samples

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F Homenick

Fredrick

Homenick

61940 Vivianne Mission

Boston

+1 (555) 835 7971

61940 Vivianne Mission

Boston

Phone

p +1 (555) 835 7971

Experience Experience

Detroit, MI

Consultant, Analytics

Detroit, MI

Sawayn-Koepp

Detroit, MI

Consultant, Analytics

Continuously expand and grow competency in statistical and analytical principles, tools and techniques, and advise management, clients, and other business partners on the effective use of analytical methodologies, particularly those related to statistics and modeling in a brand marketing context
Coach junior analyst, share knowledge and help cross-train team members for back-up and business continuity; plan and monitor own work and work of others to ensure project objectives and specifications are met on time
Design research approaches and programs to support branding initiatives
Conduct and synthesize research to identify salient information and trends
Collaborate with Interbrand and client teams to develop strategic recommendations
Assist Directors in the creation of client presentations
Engage in value-added dialog on engagement topics

Chicago, IL

Consultant, Advanced Analytics

Chicago, IL

Dibbert-Kertzmann

Chicago, IL

Consultant, Advanced Analytics

Business communication and presentation to a variety of different stakeholders including field adjusters and managers, product managers, and fellow analysts
Manages low to moderately complex projects, while providing technical and analytical assessments of issues facing the business
Assist in the testing (field pilot design) and implementation (model deployment in our claims system) of the models created
The curiosity necessary to develop an in-depth knowledge of Liberty Mutual Insurance's business practices and processes
Partners closely with a large Innovation network within Liberty Mutual and with other LOB analytics and data strategy teams in Claims
Manages one or more complex research projects
May develop analytic tools used by others to do their jobs more effectively and guide decision-making

present

Houston, TX

Marketing Analytics Consultant

Houston, TX

MacGyver Group

present

Houston, TX

Marketing Analytics Consultant

present

Creation, distribution, and presentation of analytics regarding business development opportunities across all lines of business and areas of customer contact management
Marketing and Customer Contact Strategy Development
Ad-hoc analysis of business conditions and scenarios, including investigative research
Working with the team across the project life cycle
Working with businesses to pull together relevant data from across their organisation and 3rd parties for analysis
Develop long-term relationship strategies with key customers and lead user groups that inform Gale Cengage product development efforts for the public library segment (e. g. Concept to market, product ideation and innovation, etc.)
Work directly with Public Libraries to develop strategic planning, marketing, and outreach initiatives based in-part on demographic and psychographic library patron and community data

Education Education

Bachelor’s Degree in Related Field

University of California, Santa Barbara

Bachelor’s Degree in Related Field

Skills Skills

Excellent communication and interpersonal skills
Experience executing research and analytics projects including
Vendor management including logistics for both quantitative and qualitative research projects
Writing quantitative questionnaires and qualitative discussion guides
Analysis of quantitative data and interpretation of qualitative results
Summary report writing
7+ years experience in analytics field
Excellent project management and communication skills
Excellent problem solving skills
Ability to adapt to changes in a fast-paced work environment

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15 Consultant, Analytics resume templates

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Consultant, Credit Risk Analytics Resume Examples & Samples

Process orientation with strong technical skills and attention to detail
Technical skills / systems knowledge (e.g. SAS, Matlab, Advanced Excel) is preferred
Provides technical/theoretical expertise to resolve credit risk issues and enhance overall credit risk framework. Works with Credit Policy Group to ensure that risk management policies/processes and quantitative modeling approaches are consistent
Contributes to communication and training efforts to promote understanding of credit risk management throughout the company
Ensures that risk rating models meet both internal corporate needs and regulatory requirements related to Basel II
Advanced degree in related field (math, statistics or economics) or equivalent career experience preferred
3-5 years of credit risk modeling related experience
Understanding of basic bank/credit accounting and finance principles; loan or GL system experience, Basel II knowledge a plus
Understanding of data governance/quality principles

Consultant, Risk Analytics Resume Examples & Samples

Provides technical/theoretical expertise to resolve risk issues and enhance overall risk framework
Works with other risk teams to ensure that risk management policies/processes and quantitative modeling approaches are consistent
Ensures that capital modeling and allocation approaches meet both internal corporate needs and regulatory requirements related to prevailing regulatory guidance
Works with project management team to track development efforts and resolve issues
Acts as subject matter expert, provides comprehensive, in-depth consulting and leadership to team and partners at a high technical level
Responsible for interaction with different committees and/or management
May be responsible for developing, implementing and administering programs within Risk Management for specific product(s)

Consultant Analytics Consulting Practice Resume Examples & Samples

Working in support of the US leader and the global team to deliver a value proposition that differentiates Willis as a broker and risk advisor through the use of customized analytical and consulting solutions
Use established Practice techniques and offerings to deliver quantitative solutions to clients
Support Practice leadership in the development of tools, approaches and processes for use by the analytics team, and other Willis colleagues
Support Practice thought leadership programs through the development of research papers and public speaking engagements
Participate in the sale and delivery of client engagements
Working towards professional qualifications such as FCAS, MAAA
3+ years’ experience in actuarial sciences required. Prior brokerage experience required. Carrier experience preferred. Team leadership and experience working in a global environment

Business Consultant, Analytics Resume Examples & Samples

Consistent Customer data collection across channels and (i.e. name, address, household, connections, channel preferences/permissions)
Facilitate business requirements for business matching rules for MDM and OCIF
Data aggregation across businesses and channels
Permissions across channels and LOB (i.e. CASL)
Demonstrates solid business knowledge of the Finance/Banking industry
Understands and is familiar with 360 Customer Concept and Master Data Management Concept
Displays solid interviewing and facilitation skills
Proficient with tools associated with the role (e.g. Visio, Microsoft Office Suite)

Consultant, Risk Analytics Resume Examples & Samples

Ability to work effectively across organization lines
Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data
Basic understanding of financial loan system(s), credit products, and Basel II framework preferred
Supports internal risk rating system. Ensures that the risk rating system framework meets needs of internal constituents and regulatory requirements
Strategic in developing, implementing and monitoring risk rating models
Responsible for direct interaction with various committees and/or management
Working knowledge of SAS and Excel strongly preferred

Digital Analytics Enablement Consultant Resume Examples & Samples

Conducting business requirements workshops to translate customer’s business requirements into the required IBM Digital Analytics tagging specification
Training development teams in how to integrate IBM Digital Analytics tags into a website and/or mobile application for client managed implementations
Developing and deploying the JavaScript tagging to clients websites for IBM managed implementations
Testing and troubleshooting tag implementations
Training end users in how to build advanced custom reports
Implementing, configuring and enabling IBM Digital Analytics add-ons including Product and Content Recommendations, LIVEmail, AdTarget, Lifecycle and DDF
Providing advanced, 2nd line, post implementation support to the IBM Digital Analytics support team

Consultant, Performance Analytics Resume Examples & Samples

Support the development of customer-centric reporting and analytics for the EST Leadership Team
Improving the customer experience and productivity through the identification and delivery of improvement initiatives
Focus on enterprise or end-to-end process improvements
Delivery of actionable insights through data-driven analytics and collaboration with business colleagues
Relationship Management with senior stakeholders, including Head Of and GM level
Exceptional stakeholder and relationship skills, particularly at a senior level
Exceptional analytical and problem solving capability
Ability to manage tight deadlines and multiple priorities
Strong data presentations skills and ability to prepare executive reporting packs
Strong communication skills, particularly written communication at a senior level
Great attention to detail
Good understanding of core bank processes

Consultant, Credit Risk Analytics Resume Examples & Samples

Responsible for resolving complex issues in modeling credit risk rating models used in the calculation of economic and Basel II capital, allocation of capital for performance measurement, and other aspects of credit risk management
Oversees quantitative analytical processes for credit risk. Ensures regular production of analytical work and reports. Acts as an important contact for credit risk models with regulators, Internal Audit Department, and Model Validation Group
Evaluates existing processes in relation to corporate objectives and industry leading practices. Assess development needs and manage process to achieve desired future state

Consultant, Predictive Analytics Resume Examples & Samples

Provide insight and recommendations to the business on data driven customer contact programs, using multiple data sources and analytical techniques
Support Delivery of campaigns, leads and triggers across Personal and Business Banks and Wealth
Deliver enhancements to existing leads and campaigns to support ongoing Marketing and Business strategic goals
Assessment and clarification of business requirements to advise on solutions and scope do-ability and deliver campaigns
Collaboration across Marketing analytics and strategy teams and Product areas, to optimise and deliver to customer contact requirements
Evaluation, implementation and realization of benefits from external services and new and emerging data sources and technologies, translating into new and improved Marketing strategy
Work across Marketing analytical teams to demonstrate the $$ value added to the Enterprise through the development and implementation of campaigns, leads and triggers
Very strong analytical & problem solving skills and experience working with data to extract insights and create meaning
Proven success in building and managing effective stakeholder relationships
The ability to influence and drive business strategy
Exceptional communication and interpersonal skills
Knowledge and experience using programming languages
Knowledge and experience with using SQL and SAS is desirable
Tertiary qualifications in a quantitative/science/business/IT background is preferred

Consultant Operations Analytics & IOT Resume Examples & Samples

Solution design & Solution defense for integrated Operations Analytics in Manufacturing Execution System, Operations KPI Improvement & Asset Maintenance & Reliability
Delivery excellence including practice building , Training and Skill development , delivery within cost and profit budgets and finally drive client satisfaction index for clients with delivery ownership
Identify/Understand the needs of End users and communicates to the business advantages & value creation for clients
Establishes/maintains relationship with Manufacturing stakeholders, internal solutioning teams and external vendors
Delivery ownership and responsibility to deliver projects in costs and time lines specified in the solution
Industry exposure of 5 years in the above domains in Chemicals & Petroleum , Metals and Mining , Auto and Industrial segments
Previous implementation / Delivery experience on Predictive Analytics , IOT for Manufacturing, MES systems ( Rockwell, Apriso , Honeywell , Schneider etc) , PLC / SCADA systems or Historians , Laboratory Information Management Systems (LIMS) is a must
Consulting assignments with clear KPI Improvement objectives in Operations Management
IOT related solution skills with ability to do digital road map for connected devices in Manufacturing & Supply Chain environment

Consultant, Portfolio Mgt & Analytics Resume Examples & Samples

Data collection, analysis, modelling, requirements & business design inclusive of implementation and monitoring activities
Analyse and model Fees and Margin history and help with forecasting and planning
Develop analytics to exploit value opportunities and optimise portfolio returns
Maintain product management reporting tool (inSight MI Product Management) and use it to track portfolio mix changes and product strategy effectiveness
Coordinate business lending related capital initiatives, including ReCap and eCap
Perform quantitative and qualitative analysis to understand capital performance and support various teams to drive capital efficiency
Review the metrics catalogue and business rules when required
Assist with diagnostic of RMSA Capital BL
Prepare reports, presentations and committee papers when needed
Data manipulation in SQL
Financial modelling skills (Excel, SAS/R/Matlab)
Understanding of NAB's business lending product suite
Understanding of the market environment in which business lending operates
Strong deductive reasoning skills
Ability to present complex issues in a clear and straightforward manner
Strong understanding of Basel II / III capital and liquidity requirements

Consultant, Workforce Analytics Resume Examples & Samples

Perform data management, visualization and business analytic research to identify statistical relationships present in large and complex sets of human capital data (demographic data, job and compensation data, career development and performance data, etc.). Perform descriptive analytics and building compelling predictive and prescriptive models
Aggregate, combine, normalize and cleanse data from a variety of public and proprietary data sources to create internal data sets
Understand complex business/ talent challenges, develop hypotheses, integrate internal and external data sources, analyze them using cutting edge machine learning or statistical modelling techniques to uncover causality and synthesizing insights
Work closely with consultants to identify patterns in HR data, understand leading indicators and lagging indicators and present proof of hypotheses
Build prototype tools to test new concepts and demonstrate potential functionality
Assist in revisions and improvements to existing models. Build data models, dashboards and present solutions to clients
Go beyond current tools to deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects
Minimum of 2 years’ work experience in related advanced quantitative role(s)
Strong statistics and mathematics background
Familiarity with human capital management concepts, including those relevant to the United States
Track-record of independent learning and technical problem-solving
Excellent interpersonal and collaboration skills, ability to explain complicated mathematical concepts, algorithms and data structures to colleagues and clients
Intellectual curiosity, action focus, innovation, passion, speed and resilience in dealing with data
Ability to develop and communicate creative solutions to technical problems
Strong understanding of software technology, computational techniques, and data models
Expertise using Tableau, Microsoft Excel, Visual Basic for Applications, and SQL. Experience using QlikView preferred. Expertise with R and other leading statistical applications
Experience working with and manipulating large data sets, including Big Data tools and platforms (e.g. Hadoop)

Predictive Analytics Optimization Consultant Resume Examples & Samples

3+ years experience in a client facing role demonstrating presentation skills and the ability to communicate with client management and executives
1+ year experience in estimating effort based on a set of business requirements
1+ year experience in applying analysis skills and the ability to develop processes and methodologies
5+ years experience in a client facing role demonstrating presentation skills and the ability to communicate with client management and executives
3+ years experience in estimating effort based on a set of business requirements
3+ years experience in applying analysis skills and the ability to develop processes and methodologies

Advisory Analytics Geospatial Consultant Resume Examples & Samples

Serve as a geospatial/location analytics subject matter expert advisor to internal, non-geospatial business analysts as well as external clients
Facilitate application deployments with client, including assisting with needs assessments, assigning responsibilities, obtaining critical data and information, and supporting the project from initiation through completion
Perform technical aspects of analysis and research, including but not limited to: data collection/management, data manipulation, geocoding, query creation, data visualization (maps, charts, and other info-graphics), and reporting
Work closely with project managers, public and private sector clients, and other business analysts to analyze problems, define requirements, and develop solutions; this role will interact frequently with customers and other consultants as a subject matter expert and will be asked to provide guidance and analytical expertise
Present technical and geospatial information in and solutions in a clear way to non-technical audiences
Conduct salient requirements, design, documentation, testing, development and technical knowledge transfer on a routine basis
Design and develop proof-of-concept/demo solutions to convey the application of location analytics to various business scenarios; solutions can be delivered using a variety of technologies/platforms
Participate in customized trainings for on-going professional development
Demonstrate expertise with information management services and geodatabase management systems
Publish/Consume map services (REST, WMS, GeoRSS, KML/KMZ, etc)
Develop and administer geoprocessing tasks (e.g. Selecting data, Buffer, Routing, Geocoding, etc.) for geospatial analysis
Ability to obtain and maintain a Federal Security Clearance
3+ years of experience with geospatial software development / engineering
Ability to communicate effectively to all levels of client and engagement management
Capable of balancing multiple projects or tasks
Demonstrated ability to provide services involving accounting and business consulting projects; participate in client presentations
Experience with digital cartography, image processing, computer technology, GIS software, geospatial production techniques, remote sensing, and photogrammetry
Experience with ArcGIS, Python, SQL, JavaScript, Java or .NET
Experience with ESRI, Pitney Bowes, Alteryx technologies and other appropriate software to analyze geospatial data
Experience with programming languages, frameworks, platforms, ORMs, (e.g. C#, .NET, Java 1.4+, JEE, EJB, JSF, Struts, Spring, ASP.NET, WCF, ADO.NET, LINQ, Entity Framework, SQL, PL/SQL, JavaScript, KML, Python, Django, PHP, Oracle Application Express)
Project or process management experience
Basic knowledge/understanding of Geographic Information Systems (GIS)
Familiarity with technical terms and ability to communicate technical information clearly and concisely
Customer service, software support, or technical training experience is recommended
Ability to function in a dynamic, entrepreneurial environment subject to impromptu changes in schedules and priorities
Understanding of web standards and web services
Self-starter with ability to operate autonomously

Consultant, Insight & Analytics Resume Examples & Samples

Work with media planning and account teams to identify key targets for campaigns using historical performance and syndicated research tools such as MRI, Simmons, Nielsen, Comscore
Assist Assoc. Director/Director Insights & Analytics in development and execution of measurement/analysis plans on behalf of clients
Serve as the main contact point for the majority of internal requests from the media and search teams
Partner with technology team to manage media data warehouse
Oversee delivery of thorough results reports easily understood by clients
Propose and execute proprietary studies to facilitate more precise and impactful campaigns
Develop, motivate and train Analysts and Senior Analysts
4+ years experience in an analytical role
Media experience/background
Must be a team player and have experience collaborating across cross-functional teams
Comfort level translating response data and survey results into actionable use
Strong analytical skills including data manipulation, media optimization, building reports and dashboards, testing execution
Must understand the technical side of advertising
Basic statistical aptitude
Fluency with core media tools (ad servers, syndicated and first party research)
Strong experience with data manipulation and visualization tools including: SAS, SQL, Tableau, SPSS, R
Good writing and verbal communication skills (including presentation skills)
Supervisory and client-facing experience

Consultant, Insights & Analytics Resume Examples & Samples

Direct media planning teams in the analysis of digital and direct response campaigns to uncover patterns and establish practical insights
Help manage extraction of data sets from multiple marketing/database platforms and perform hygiene and quality control steps. Data sources will include: web analytic tools, media analytics, customer databases, social listening tools, search tools, syndicated data, research & survey tools, etc
Pro-actively identifies challenges and offers solutions to move forward
Serve as thought leader internally and with clients writing POV’s on industry trends, new technologies in the analytic area

Consultant, Advanced Credit Risk Analytics Resume Examples & Samples

Excellent verbal, written, analytical and problem solving skills
Ability to work in fast paced environment with the ability to multi-task
In-depth Functional / Industry Knowledge is required (e.g. risk concepts, credit risk, quantitative modeling and measurement techniques)
Technical skills/ systems knowledge with statistical knowledge (e.g., SAS, R, Matlab) and Advanced Excel

Ancillary Analytics Business Consultant Resume Examples & Samples

Demonstrated analytical and critical thinking skills
Two or more years of experience in health care analytics or designing data or Master’s degree
Bachelor's degree and at least 2 years of experience in healthcare analytics or designing data. or A master's degree and demonstrated work experience in healthcare analytics or designing data
Strong knowledge of SQL and demonstrated ability to write medium to complex queries
Ability to analyze claims data for trends, outliers, etc
Expert knowledge of Excel and Access
Bachelor’s degree (math or business related majors preferred)

Advanced Analytics Watson Consultant Resume Examples & Samples

At least 4 years experience in Understand and Use quantitative techniques or computational algorithms in any of the four: Prediction and Forecasting / Prescription / Unstructured Content Mining / Natural Language Processing
At least 1 year experience in Familiarity with IBM's Watson Solution
At least 4 years experience in Deep business knowledge in one of the following Industries: Banking, Insurance, Financial Markets, Telco, Retail/CPG, Manufacturing, Oil & Gas, Public/Government

DOD Analytics Consultant Resume Examples & Samples

Knowledge of DoD Logistics environment
Expert at analytics - to include cost/financial
Comfortable in DoD environment

Cognitive & Analytics Consultant Resume Examples & Samples

Wild Blue - Bachelor's degree
1) CRM Consulting & implementation
2) Digital Consulting & implementation
3) Big data platform consulting & design
4) Analytics consulting & implementation
5) AI consulting & platform design

IT Analytics Consultant Resume Examples & Samples

Execute and support problem management and continuous improvement
Contribute to the Build-to-Run engagement
High level of motivation and enthusiasm
Database Management experience
General understanding of IT Architectures
Programming skills and Scrum experience desirable
Team player. Ability to lead, guide and work well with others
Organized and able to handle multiple tasks and multiple priorities
Strong interpersonal, presentation, verbal and writing skills to successfully interact with colleagues and executive management
Ability to work under pressure and to cope with deadlines
Fluency in both written and verbal English; German language skills strongly preferred
Masters or similar degree in economics or business administration related studies

Ebusiness Analytics Consultant Resume Examples & Samples

Strong skills/experience with SQL
Demonstrated experience in building reports in SSRS or a similar tool
Advanced knowledge of Microsoft products such as Excel, Access, PowerPoint
Be able to identify trends, communicate results, and make recommendations that would improve the provider experience
Flexible and ability to adapt to change to support ongoing business needs
Experience in HIPAA X12 transactions; Claims Submission, Claims Status, Eligibility & Benefits and Referrals & Authorization
SharePoint knowledge
Knowledge of provider office processes and experience working in the provider space

Marketing Analytics Consultant Resume Examples & Samples

Development of analytical assets that enable business partners to achieve their goals
Provide a consultative perspective on the data assets available for communicating and managing relationships with our customers
Synthesizing complex datasets into polished, actionable treatments for decision makers
Ad-hoc analysis of business conditions and scenarios, including investigative research
Successful communications are an essential component to great customer experiences. This position will support the development and delivery of business solutions by establishing and maintaining Business Intelligence assets. Working in tandem with peers on the Customer Analytics team, the individual will play a pivotal role with both internal and external client relationships
Minimum 3 years’ SQL programming experience with enterprise relational databases
Experience with SAS Enterprise Guide. Base or Advanced SAS Certification preferred
Experience with Visual Analysis tools such as Spotfire/Tableau

Principal Analytics Consultant Resume Examples & Samples

Exposure and experience of complex business analytic implementations in SAP products, such as HANA, HANA Live, BW and Predictive Analytics
Resolving simple to very complex reporting and implementation issues of clients and provide knowledge transfer to customers
Good experience with and knowledge of SAP Business Suite, CRM, SRM and SAP BI systems
Developing our people and contributing to our practice in other ways – e.g. by becoming a SAP thought leader or supporting back office functions"
Reporting on client project risks and opportunities
Certified in SAP BW and SAP HANA
Minimum of 10 years SAP BW - BW implementation experience
Minimum of 5 full SAP BW - BW project lifecycles
Detailed knowledge of BW and HANA data modelling best practice
Experience of team leadership for large complex Analytic teams within large SAP implementations
Experience of ASAP (or equivalent) project implementation methodology
Knowledge of full SAP Netweaver technology suite
Good ‘high-level’ functional knowledge of SAP ERP modules e.g. FI, HR, SD
Experience of ABAP / customer enhancements
Experience of SAP Netweaver 7.4
SAP HANA Certification
External qualifications (e.g. TOGAF 8 Certification CIMA, CIPS, PRINCE2)
Australian Citizen with ability to gain security clearance
50% - 80%

Analytics Consultant / Snr Consultant Resume Examples & Samples

Provides support in proposal development and contributes to the review of client requirements
Track record of consulting methods, tools and techniques
Good presentation, interpersonal and communication skills with fluency in English both spoken and written
A commitment to working independently and collaboratively with others in and across the team
Understanding of project management with proven time management and personal organisational skills
Ability to deliver high quality work within challenging timelines

Digital Advanced Analytics Consultant Resume Examples & Samples

Work with senior clients to identify their business problems and develop the right approach and analytical solution
Good knowledge of risk analysis and data mining technique
Helping define the structural and cultural changes required to reach the goal; sequencing those changes
Above 3 years of related working experience
Abundant cross-industries experience on analysis modelling and data mining projects
Major in quantitative discipline, such as Statistics, Math, Econometrics etc. are an advantage
Master data mining tools, such as SAS, SPSS, R etc
Excellent communication and presentation skills in both Mandarin and English

Digital Optimisation Analytics Consultant Resume Examples & Samples

Developing customer segmentation strategies, then using cluster analysis, predictive modeling and leading edge analytical techniques to deliver the segmentation
Working with other Accenture colleagues in data, analytics, media, technology, processes and our clients' agencies to transform or improve marketing operations and performance
Supporting teams through all phases of a project lifecycle including developing RFPs, proposals, contracts, planning, discovery, workshops, experiments, blueprints, go live etc
Bachelors degree in a mathematics/statistics or quantitative discipline where modeling and data analysis/manipulation skills were emphasized
Minimum 2 years experience processing, combining and transforming large datasets in a commercial environment, using statistical applications such as SAS, SPSS, Matlab or R
Minimum 1 year experience using logistic regression, cluster analysis, factor analysis, neural networks and other multivariate analysis techniques
Knowledge in online marketing best practices and innovations would be highly regarded
Knowledge of emerging digital technologies/platforms/architectures would be highly regarded

Advanced Analytics / AI Consultant Resume Examples & Samples

Degree in Statistics, Mathematics, Computer science, or a related scientific discipline
2-4 years of experience in statistical modeling, machine learning, data mining and unstructured data analytics
2+ years of project or project management experience
2+ years industry experience in Customer or Marketing Analytics, Financial Services, Life Sciences or an equivalent domain
Proficiency in statistical and related tools/languages - R, RevR, SAS, Python or similar
Experience working with large data sets and tools like MapReduce, Hadoop , Hive and equivalent technologies
Experience with or exposure to Natural Language Processing, Machine Learning, Cognitive Computing or Artificial Intelligence
Ability to work in a global collaborative team environment
Proficient verbal and written communication skills in English

Finance & Risk-risk Analytics Management Consultant Resume Examples & Samples

Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems
Uses considerable judgment to find solutions and seeks guidance on complex problems
Figures out methods and procedures on new assignments with guidance
Decisions often impact the team in why they reside
Provide support to management in business development initiatives, including developing client proposals and building strong relationships with Accenture clients
Maintain skills in risk modeling and analytics
Minimum 3 years of prior Management Consulting experience focused on the Financial Services industry required
Minimum 3 years of experience with:- Credit, market, liquidity and/or operational risk analytics (e.g., model development, strategy and framework, scorecard development, model documentation, model validation, model governance, model implementation, integration and automation, etc.)
Retail, commercial, and/or Capital Markets portfolios, including commercial lending, asset-based lending, treasury services and investment banking. Exposure to insurance, wholesale/retail lending, deposits, etc. desirable
Risk regulatory trends, principles, and practices (e.g., CCAR, DFAST, Internal Capital Reporting, Capital Planning, Risk Weighted Assets, etc.), including any combination of the following: back testing, stress testing, sensitivity testing, benchmarking, capital calculations, reporting standards, etc
SAS or Matlab. Exposure and/or proficiency to other analytical tools such as R, SQL, C++, VBA, Murex, Calypso, Numerix, etc., desirable
Solid project management experience including: defining scope, setting project timelines and milestone, driving deliverables, identifying risks, addressing issues, project economics and client relationship management)
Model development/quantitative skills should include any combination of the following: multivariate regression models, transition matrices, stochastic processes, econometric models, neural networks, Monte Carlo, etc
Demonstrated experience with credit/market risk type models (e.g., ALLL, PD/LGD, Roll Rate, VAR, SVAR, etc.)
Exposure to commercial lending, commercial real estate, credit card, mortgage, retail and/or trading book
Demonstrated understanding of the unique components and behaviors commercial portfolios such as: loan origination and underwriting; credit policies; portfolio management, allowance for loan and lease losses; loan review and remediation
Strong competence in developing presentations required (MS Office (Word, PowerPoint, Excel))
Ability to work independently and handle multiple projects, assignments and/or responsibilities
Attested ability to work creatively and analytically in a problem-solving environment
Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment and structured decision-making

Marketing Analytics Consultant Resume Examples & Samples

Working with the team across the project life cycle
Working with businesses to pull together relevant data from across their organisation and 3rd parties for analysis
Clean, aggregate and interpret data in preparation for analysis
Development of statistical models
Deriving actionable insights from the analysis and communicating these directly to clients
Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects
3-4 years of work experience in consulting / analytics with reputed organization is desirable
Have an understanding of econometric/statistical modelling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques
Experience in Machine learning and Data Visualisation also desirable
Experience in packages such as SAS, R, Python, Scala etc
Proficient in MS Excel, MS Word and MS PowerPoint
Good communication and presentation skills
Degree in science, technology, engineering, mathematics or economics (required)
MSc/M.Phil/Ph.D in related field (preferred)

Consultant Grid Analytics Resources Resume Examples & Samples

Knowledge of analytics systems (SAS, SAP HANA)
Experience with Smart Grid Analytics and global knowledge of the industry relevant ICT solutions and applications (For example SAP SCP, Oracle SCM Maintenance Management, Microsoft solutions etc.)
Multiple years of relevant work experience within a Utilities project or specific Smart Grid Analytics within another industry
Several years experience with project and/or consultancy work
Fluency in Dutch and English

Consultant Predictive Analytics Resume Examples & Samples

Utilize advanced data mining and predictive modeling techniques to evaluate/ predict financial and/or operational results and make recommendations to improve business decision-making
Solve complex data-related questions by developing new predictive models and improving existing ones
Analyze data from various sources to assess risks to and improve Compliance KPIs
Hands-on review of data sets using SAS/R/Python, statistical analysis, and data visualization tools
Perform business intelligence, data analysis, descriptive statistics and performance validation of existing and potential models
Analyze/interpret data and build quantitative, non-linear, and time-series models using R/SAS/Python
Determine modeling requirements in the development of standard data sets that will be used for analysis and data mining
Participate in cross-functional project teams as predictive modeling subject matter expert
Research new modeling techniques as required to solve a given business problem

Cognitive & Analytics Consultant Resume Examples & Samples

Contribution/Leadership:Provides ongoing technical /operational guidance to lead professional work teams, conducts special projects, or manages department(s). Defines and decides objectives within specified business concept or project and may have responsibility for tools and assigned resources. Utilizes expertise to directly influence people outside department or function. Sometimes no precedent exists
Impact on Business/Scope:Accountable for department results and for activities and/or projects involving multi-functional teams. Activities are subject to business measurements, impact customer satisfaction, and impact project costs or expenses
1) Digital Consulting & implementation
2) Big data platform consulting & design
3) Analytics consulting & implementation
4) Cognitive consulting

Consultant, Advanced Analytics Resume Examples & Samples

Combine top analytical skills with knowledge of the business of Claims to build and produce models to impact our business in positive ways
Drive Predictive Analytics strategy in Personal Insurance Claims by presenting recommendations and analyses to senior and executive level management at Liberty Mutual
Work with data scientists with a broad range of analytical expertise and claims subject matter experts to deliver data products and provide business insights through quantitative analysis (Predictive Modeling, Optimization, etc.)
Business communication and presentation to a variety of different stakeholders including field adjusters and managers, product managers, and fellow analysts
Assist in the testing (field pilot design) and implementation (model deployment in our claims system) of the models created
Participate in all and lead some complex project-related tasks
Be at the forefront of emerging trends in insurance, including (but not limited to) Telematics & Connected Homes, Digital Trends, Customer Experience Modeling, etc
Extract data from various applications and systems, in particular large relational databases, manipulate, explore data and build models using quantitative, statistical and visualization tools, including but not limited to Excel, SAS/ SQL, R/Python
Travel approximately: 5%-10%
Present findings, both formally and informally, to audiences at all levels of the organization
Experience building and deploying models and building a business case around a variety of different support tools is required
Advanced degree in Computer Science, Economics, Statistics or other relevant quantitative field and at least 3 years of non-academic work experience recommended
Ability to translate business questions into forms suitable for meaningful and verifiable quantitative analysis
Proven track record of strong communication and collaboration with project teams consisting of a variety of backgrounds including operations, analytics, etc
Advanced applied analytical, research, and problem-solving skills
Programming skills, including, but not limited to, SAS, SQL or PROC SQL, R, Python, VBA
Experience working with very large datasets and enterprise-scale database systems
Effective presentation skills (producing slides and delivering talking points) at the senior manager level and to a variety of technical and non-technical audiences
The curiosity necessary to develop an in-depth knowledge of Liberty Mutual Insurance's business practices and processes
The capacity for a high degree of autonomy and out-of-the-box thinking

IP&S Analytics Consultant Resume Examples & Samples

Analyticsservice
PhD/Master/Advanced Degree in computer science, applied mathematics or a related discipline such as physics or chemistry; candidate should have more than 5 years of relevant professional experiences
Broad experience of R&D policy-making, emerging research/technology area finding, program evaluation & monitoring
Ability to discussing with research planners/reviewers, chief technology officers, licensing officers, researchers, IP specialist at medium and large corporations as well as research institutions & universities
Deep knowledge in using databases such as scientific & scholarly research as well as patent and others, and extensive hand on experience in data analysis. Knowledge of DB/Analytic products and related professional services
Work experience with the following

CPG Analytics Business Consultant Resume Examples & Samples

Collaborates with sales teams to develop sales strategies focused clearly on Business Outcomes. Assures that the account team frames proposals based on those outcomes with product/technology options positioned as enablers
Understands the customer’s business, strategy and key initiatives. Translates the customer’s business needs and requirements into business outcome lead proposals supported by Teradata technology and solution offerings
Gains trusted advisor status among CPG prospects by demonstrating deep industry domain knowledge and explaining how Teradata solutions can grow their revenue
Establishes or enhances executive level relationships, provides subject matter expertise on engagements, and identifies new target opportunities emerging within the Business
Prior experience in setting and executing business development strategies for Consumer Products Manufacturers

Advertising Analytics Business Consultant Resume Examples & Samples

Leverage broad knowledge of big data analytics to support programmatic advertising, omni-channel advertising, digital advertising and advertising sales operations to optimize the advertising spend against revenue results
Leading ad-hoc cross-functional teams to define the strategy and requirements that involve the delivery of the technology components associated with the Advertising Analytics
Analyze accounts and make recommendations on accounts with the highest potential for yielding revenue based on an analysis of alignment of issues and challenges
Working with the appropriate sales teams to establish account and opportunity plans
Support external relationships with third-party partners to perform lead generation and solutions development specific to the Advertising Analytics
Gains trusted advisor status among advertising prospects by demonstrating deep industry domain knowledge and explaining how Teradata solutions can grow their revenue
Five years of relevant business analytic consulting experience, preferably in directly supporting a client company or with systems integrator
Prior experience with in agency, buy-side and supply-side advertising data including collection and utilization to analyze and predict outcomes
Can successfully identify new business opportunities and respond to them with a defined approach strategy
Understanding of the distributive data architectures

Utilities Analytics Business Consultant Resume Examples & Samples

Captures business requirements and helps shape the data, technology, process and people capabilities required to sustain analytic offerings
Assists clients in defining a strategy for achieving an improved future state and supporting business cases for the implementation of analytics
Interpret the results of the analytical insights and communicate the results to the client in a business context to drive value
Gains trusted advisor status among Utilities prospects by demonstrating deep industry domain knowledge and explaining how Teradata solutions can grow their revenue
Develops reusable assets from customer engagements and to share knowledge within Teradata
Mentors other Teradata consultants on engagements to infuse Business knowledge into their specific technical consulting or business consulting expertise
Prior experience working with client processes ranging from customer analytic to support energy conservation and public policy
Strong understanding of Smart meter technology and prior experience in driving new and innovative analytic solutions to the Utilities market
Highly skilled in organizational politics, value proposition development, solution selling, focusing on the customer, sales ability / persuasiveness, and business needs analysis
Experience with Teradata technologies as a user

Consultant, Analytics Resume Examples & Samples

Position is accountable for complex business analysis projects, starting from designing analytical plan to executing and conducting the analysis, to interpreting key findings, formulating recommendations, and presenting to management and business partners
Work with business partners on analytical framework and strategy design, provide consultation to business partners on various statistical and analytical issues and concerns; Work closely with Senior Manager to manage relationships with business partners, prioritize projects, and manage projects to meet specific business requirements and timeline
In additional to project responsibilities, position acts as a subject matter expert by providing advice to senior management, clients and business partners on the effective use of analytical methodologies, particularly those related to statistics, modeling, and business planning and forecasting. Provide technical and methodological leadership to the team
Coach junior analyst, share knowledge and help cross-train team members for back-up and business continuity; plan and monitor own work and work of others to ensure project objectives and specifications are met on time
Promote a risk-aware culture; ensure efficient and effective risk and compliance management practices by adhering to required standards and processes

Customer Journey Analytics Business Consultant Resume Examples & Samples

Leverage broad knowledge of the big data analytics and marketing technology to understand and engage customers across their journey of interactions with a company
Including decomposition of the business models for analyzing and targeting customer segments to determine opportunities to leverage detailed structured and unstructured data coupled with marketing applications to provide significant business advantage for Teradata’s clients
Leading ad-hoc cross-functional teams to define the strategy and requirements that involve the delivery of the technology components associated with the Customer Journey
Analyzing accounts and making recommendations on those with the highest potential for yielding revenue based on an analysis of alignment of issues and challenges
Working with the appropriate sales teams to establish account and opportunity plans. Support external relationships with third-party partners to perform lead generation and solutions development specific to the Customer Journey
Develops and provides content for RFI/RFP responses and sales proposals
Translates the customer’s business needs and requirements into business outcome led proposals supported by Teradata Technology and Solution offers
Assists clients in defining a future state strategy and supporting business cases for the implementation of analytics
Understands the usage of advanced and predictive analytic techniques and can apply the application of same to common business problems
Ensures successful deployment and adoption of solution at clients
Mentors Teradata consultants on engagements to infuse Business knowledge into their specific technical consulting or business consulting expertise
Eight years of business consulting experience of the business or domain
Proven track record of identifying new business opportunities and responding to them
Experience using Business Processes, Business Process Modeling, Business Metrics, and best practices to drive customer success
Experience with performing Business Impact Modeling to measure the business impact of new technology across the client’s organization
Must be able to travel to prospects and customers (Approximately 75%)

Carehub Messaging & Analytics Consultant Resume Examples & Samples

Collaborate and coordinate with all internal/external partners in order to develop professional & comprehensive information to determine best approach for implementation
Serve as an expert on operational processes for Clinical operations
Coordinate with business partners to discuss process and operational improvements
Accountable for follow-through & follow-up
Document processes and implement best practices
Interface with Business and IT partners to ensure operational excellence and maintain strong working relationship with key stakeholders
Lead and participate in Project Meetings to meet the business needs to deliver quality Clinical Products involving cross-functional teams and systems and then report out to internal and external audiences
Excellent PC skills (including MS Word and Excel – experience creating pivot tables)
Experience presenting
Ability to understand system processes
Familiarity with Microsoft Project and Microsoft Visio
Ability to create process flows

Adobe Analytics Digital Analytics Consultant Resume Examples & Samples

Work in a cross-function environment with various technical and business stakeholders to scope and establish a web analytics implementation for new and existing initiatives
Convert scope and requirements documents to Solution Design Documents
Establish analytics strategies, measure of success, and KPI’s
Participate in clients' QA and deployment processes (must be comfortable with different implementation approaches, i.e. Agile, Waterfall)
Manage expectations in data & reporting delivery and implementation efforts
Provide support to end users, providing on-the-spot training or custom solution design as needed
Assist business stakeholders to increase and improve their usage of Adobe Analytics (Omniture SiteCatalyst) and other analytics platforms
Advise key business stakeholders & drive success based on their most important business KPIs
Work effectively with technology and engineering teams, on tracking standards and tag implementation guidelines, from concept to execution of tracking features
Maintain enterprise consistency & best practices in data collection standards
Periodic validation of data collection techniques and quality
A bachelor's degree and 5-7 years of work experience working with Web Analytics platforms, and 2 years of experience with Adobe Analytics (SiteCatalyst)
Experience in Tag Manager, Adobe Target, or other related platforms a strong plus
Create and maintain Omniture SiteCatalyst JavaScript tags and plugins
Be able to convert Solution Designs to exact JavaScript code to be added on page or user actions on page
Knowledge of how to create deployment packages
Hands-on experience with web analytics tools such as Omniture SiteCatalyst and debugging tools like Charles, HTTPWatch or WASP
Ability to write complex programs, analyze code changes and make suggestions to improve code complexity for maintainability and scalability
Knowledge and demonstrated experience with cross-browser and cross-platform issues (IE, Firefox, Safari, etc.)
Familiarity with multiple implementation approaches, such as s-code, Dynamic Tag Manager, or using a Data Layer
Thorough understanding of the path to conversion
Familiar with API integrations such as to Google Analytics or ExactTarget

Information Management & Analytics Consultant Resume Examples & Samples

Architect, design, implement end-to-end BI solutions and supporting architecture
Research and evaluate potential technology solutions to meet business needs
Lead developers in data integration, information presentation, and delivery
6-8 years of progressively responsible, post-baccalaureate experience in business intelligence and designing, developing, testing and implementing data warehouses
3+ years of experience leading BI/DW implementation teams
3+ years of experience with more than 1 BI tools such as Tableau, QlikView, Cognos
5+ years of experience with more than 1 data Integration tools such as Informatica, SSIS
Exceptional analytical, conceptual, and problem-solving abilities
Strong SQL and physical data modeling skills
Prior experience inconsulting

Lead Analytics Consultant Resume Examples & Samples

Comprehensive knowledge of healthcare insurance industry, products, systems and business strategies a must
5 or more years related experience with healthcare data analytics, statistical analysis, visualization tools, predictive modeling/machine learning techniques
Expertise in SQL and programming languages such as SAS, R, Python, Spark
Experience with big data technologies/environment such as Hadoop
Consulting experience a plus
Demonstrated ability/experience in above mentioned job components required
Strong organizational, management and leadership skills

MCM Analytics Consultant Resume Examples & Samples

Master’s degree in statistics, mathematics, economics, engineering, finance or other quantitative field required
2-3 years of experience in executing analytics assignments
1+ year experience in quantitative digital marketing arena
Background in working with pharmaceutical data
Proficient in SAS, SQL, Microsoft Excel and Power Point
Exhibits a comfort level in customer facing situations when necessary
Proficiency in at least one digital marketing channel (Emails, Mobile Alerts, Search, Social, Display etc)

Junior Analytics Consultant Resume Examples & Samples

Keen attention to detail and a quality focused mindset
Familiarity with statistical concepts and modeling
Self-discipline for planning and organizing tasks
Experience with customer databases and data integration techniques

Eoi-analytics Simulation Consultant Resume Examples & Samples

Professional: 5 years, Senior: >10years relevant professional experience
Demonstrated time management and organisational skills
Demonstrated commercial acumen and the ability to develop relationships
Working knowledge of MS Office Suite, particularly Excel and VBA
Discrete event simulation experience desirable (e.g. AnyLogic, ExtendSim, Arena)
Visual/descriptive analytics experience desirable (e.g. Tableau, PowerBI, Spotfire)
Predictive/machine learning/statistical experience desirable (e.g. R, RapidMiner)
Mathematical optimisation experience desirable (e.g. AIMMS, Gurobi, CPLEX)
Scientific modelling experience desirable (e.g. Python, MATLAB)
Knowledge of asset management or built infrastructure desirable

Information Management & Analytics Consultant Resume Examples & Samples

Collaborate with clients and internal teams to define innovative analytics for a wide variety of business topics and industries, while applying best practices in data visualization and manipulation
Gather and prepare data to support analytics from a variety of data source types including databases, flat files, external sources, etc. as necessary
Conduct and lead client white-boarding sessions, workshops, design sessions, and project meetings as needed, playing a key role in client relations
Produce documentation to aid both users of analytics and administrators of the software and database platforms related to the analytics produced
3+ years of experience developing business analytics
Strong aptitude for learning new technologies and analytics techniques
Outstanding communication skills (both in presentation and comprehension) along with the aptitude for thought leadership in analytics
Demonstrable proficiency with enterprise Business Intelligence tools (e.g., Tableau, QlikView, MicroStrategy, Cognos, etc.)

HCP Analytics BD Consultant Resume Examples & Samples

Bachelor’s degree inMathematics / Statistics / Analytics
10+ years of C-level selling and BD experience required
Master's degree / PhD in Mathematics / Statistics / Analytics is preferred
Experience of working in, and leading, a virtual and remote organization
Proven ability to negotiate and close sales is essential
Global / multi-national sales experience would be a major asset
Six Sigma qualification to at least Green Belt level
Customer relationship and development skills
Ability to understand and convey complex business proposals, technical solutions, deliverables and financial results or issues, to Honeywell and client management
Strong communication skills –with the ability to address multiple levels of the internal and external organizations orally or in writing
Global view, with the ability to see and communicate the broad business case without losing site of the underlying details and concerns
Aligned with client perspective and issues, leveraging the entire HPS portfolio to address their business needs
Ability to energize the direct team and Sales resources to achieve continually increasing performance levels
High level of cultural awareness and sensitivity

Catastrophe Analytics Consultant Resume Examples & Samples

Use programming skills to build new tools or analysis pipelines in platforms using SQL, R, C++, and/or VBA
Develop processes that automate various reporting and pricing processes
Perform research on various catastrophe-related topics and model validation exercises
Learn about new sources of aggregation and develop processes to effectively manage CNA’s exposure
Communicate and collaborate with underwriters, actuaries, capital modelers, reinsurance placement colleagues, and other stakeholders
Work independently and have a high degree of accountability
Experience programming in any language such as VB/VBA, Python, Java, or C++
Proven problem-solving capabilities
Ability to effectively interact with all levels of internal and external business partners
Experience using Tableau is desired
Solid knowledge of RMS and/or AIR catastrophe models is desired
Knowledge of commercial insurance or reinsurance is desired
A Bachelor's degree in technical field, such as computer science, math, actuarial science, statistics, engineering, physical science, or equivalent. Master’s degree preferred

Digital Optimisation & Analytics Consultant 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
Analyzing data to determine the most valuable opportunities to improve marketing performance and redesigning digital experiences to deliver this
Proposing, contributing to, and verifying multivariate testing and targeting/personalization strategies in the planning phase of Client projects
To perform the project analysis utilizing Accenture's proprietary software and common commercial analytical applications
To support and participate in client presentations and planning sessions documenting required next steps plus explaining and presenting statistical based project results from optimization activities
Minimum 1 year experience in digital marketing analytics or market research
Ability to work within a multi-functional (analytics/technical/marketing) team on multiple projects, managing timelines and communicating risks/issues
Knowledge of web optimization and/or web analytics tools would be highly regarded

Advanced Analytics Consultant Milan Resume Examples & Samples

Advanced degree in a quantitative discipline (statistics, mathematics, or physics)
3+ years’ work experience in analytical services oriented toward risk management in the banking sector
Significant experience with analytic/software (e.g., MATLAB, Python) and SQL databases

Functional & Industry Analytics Consultant Resume Examples & Samples

Optimize marketing processes and integrate across the enterprise in order to maximize the opportunities of data, analytics and marketing outcomes
Offer our clients end to end solutions and services
Client-facing interaction including providing analyses, recommendations, presentations and advice to clients
Project-based analytics including but not limited to
Minimum of Bachelor's Degree required in related field; strong preference for fields of study in the data science, economics, statistics, and social sciences
Minimum of 3 years delivery experience in advanced modeling environment with strong understanding of statistical concepts and predictive modeling
Has project management, time management and communication skills necessary to execute the responsibilities and deliver against client expectations

Products Analytics Consultant Resume Examples & Samples

Works with clients to provide primary and secondary research within an industry or functional area
Uses advanced statistical techniques to find relationships between variables
Solves organizational problems for the client by analyzing requirements, providing valuable market research linked insights and developing tools and processes to aid decision making
At the Manager level, responsibilities increase including
Excellent understanding of Products Industry/Domain
Working with one of the sub-industries within Products – life sciences, retail, consumer packaged goods or health
Deliver data and BI/analytics driven engagements
Minimum of 2 years of experience with consulting or implementing transformational change in the Products industry
Minimum of 3 years of demonstrated experience with written and verbal communication skills including formal and informal presentations, building client relationships and providing excellent client service
Minimum 3 years of hands on experience working on advanced analytics projects involving statistical models
Minimum of 2 years of BI and Analytics sales support experience
Minimum 2 years of experience in requirements gathering and design for BI/analytics
Ability to travel up to 80-100%
Additional years of experience required for the above skills for Manager level consideration. Must also have
Bachelor’s Degree in Engineering, Computer Science or Statistics
Master’s Degree in Business Administration, Statistics or Operations Research
2+ years of experience with data visualization tools such as tableau, spotfire and qlikview
Able to build, maintain and own relationships
Exceptional presentation skills
Strong conceptual knowledge and understanding of databases and statistics
Solid Microsoft Office (Excel and power point) skills

Consultant, Analytics Resume Examples & Samples

Design research approaches and programs to support branding initiatives
Combine analysis with strategic thinking and business requirements to create a cohesive story and actionable results for our clients
Conduct and synthesize research to identify salient information and trends
Collaborate with Interbrand and client teams to develop strategic recommendations
Assist Directors in the creation of client presentations
Engage in value-added dialog on engagement topics
Provide guidance in troubleshooting client issues with other Consultants
Coordinate with Program Manager/Program Director to ensure that timelines are met and knowledge is successfully transferred across the client team
Manage junior team members on day to day assignments
Experience executing research and analytics projects including
Vendor management including logistics for both quantitative and qualitative research projects
Writing quantitative questionnaires and qualitative discussion guides
Analysis of quantitative data and interpretation of qualitative results
Summary report writing

Consultant, Analytics Resume Examples & Samples

Consult with business partners on analytic solutions to drive value
Prepare and vet analysis plans and expected outcomes to ensure business needs will be met
Architect complex Analytics and Reporting solutions
Advise on development of and derive actionable business insights from reporting technologies like Tableau or Microstrategy
Prepare and vet data-driven recommendations that improve specific value
Ensure analytics solutions are implemented and perform as expected
Manage the day-to-day activities of the Analytics Center of Excellence, which is tasked with delivering data-driven recommendations by applying analytics within a Hadoop environment
Lead cross-functional teams to deliver targeted outcomes using an Agile development process
Develop other analysts on the team by sharing and training on best practices
Maintain our repository and other relevant documentation
Drive automation capabilities into reporting solutions

Principal Consultant, Advanced Analytics Resume Examples & Samples

Represent clarity at client meetings with a goal of increasing face time with key executives and decision makers. Leads proposal and statement of work (SOW) development including defining business objectives, solution approach, scope, deliverables, client responsibilities, staffing roles, pricing, and risk mitigation
Builds client relationship by understanding client business and propose analytical solution to institutionalize Analytics across Client organizations
Leverage ideas across clients and domains to spot opportunities and generate revenue and engagement
Play a key role in client management, leading and mentoring project teams, and working with the executive team on new initiatives and business development
Possess strong marketing, customer analytics/ logical thinking skills and clarity of thought

Marketing Analytics Consultant Resume Examples & Samples

Previous customer facing experience, preferably working with technical and business personnel
Self-motivated, ability to work unsupervised
Basic knowledge of HANA Administration
Basic knowledge of Marketing Analytics
Basic knowledge of HANA Cloud Platform (HCP)
Familiar with the generic design of predictive models
At least 2 years of experience in Consulting or similar discipline
At least 2 years of experience with SAP HANA

Consultant, Risk Analytics Resume Examples & Samples

Advanced Visual Story Telling: Provide interactive visualizations and logical storytelling with correlated data have helped business to make decisions faster & easy on various occasions
4 to 6 years of experience with Risk management/Fraud/Compliance Analytics
Strong exposure to Statistics – Predictive Analytics
Ability to share dashboards, reports, and Analytical insights from data
SAS – Intermediate to Advanced skills
Working knowledge of SQL preferred
Clarity of thoughts and vision
Hands on and detail-oriented, with a strong ability to coordinate across different Geographies and with different stakeholders at Exec and Director/Sr. Director levels

Advanced Analytics Consultant Trainee Resume Examples & Samples

Data manipulation, transformation and integration with some technology (e.g. SQL)
Reporting, data visualization and story telling
The ability to convert this knowledge into customer success

Microsoft Advanced Analytics Consultant Resume Examples & Samples

Lead and deliver complex high quality solutions to clients in response to varying business requirements
Lead and educate a project team on an Analytics Software Implementation/Development Lifecycle
Familiarity with moving clients to Office 365 and Azure Active Directory Integration
Educate clients on SQL Server 2014+ Analytics features and capabilities
Be a trusted advisor to client personnel and organizations, including executive management
Show excellent diplomacy skills with executive management
Capability and responsibility to define and select tools, processes, priorities and resources necessary to manage, analyze, design and implement Microsoft practice directives
Utilize high level analytical ability and creativity to analyze complex/new situations, anticipate potential problems and future trends, assess opportunities, impacts and risks while developing and implementing plans and producing solutions to client problems
Previous depth with implementing custom applications in .NET / SQL Server environment pot .NET 3.5
Lead teams using an agile methodology and deliver Analytics Implementations
Diversity of people: Diversity of thought driving collective innovation
Bachelor of Science or Bachelor of Arts with Math/Statistics Based Technical Experience Required
At least 5 years experience in configuration and development of Sql Server Analysis Services, SSRS, SSI
At least 5 years experience in SQL Server infrastructure optimization
At least 3 years experience in PowerBI or Analytics Platform System (APS)
At least 5 years experience in extending Analytics solutions with other Microsoft technologies and tools such as custom development SharePoint solutions, ASP.net, VB, .Net, C#, javascript
At least 4 years experience in application development of .NET / SQL Server business solutions
At least 3 years experience in Azure applications
At least 2 years experience in Azure Active Directory integration
At least 3 years experience in Office 365 integration
Any Microsoft SQL Server Certification
At least 8 years experience in configuration and development of PowerBI or Analytics Platform System (APS)
At least 8 years experience in SQL Server Integration Services (SSIS) or SQL Server Reporting Services (SSRS)
At least 8 years experience in extending Analytics solutions with other Microsoft technologies
At least 1 year experience in PowerBI, APS, SSIS or SSRS
At least 1 year experience with R based programming in any Microsoft supported language
Experience with migrating from Tableau, QlikView, IBM SPSS, Cognos to other Analytics/BI Platform
Masters in statistics heavy degree plan
Microsoft Certifications

Digital Analytics & Optimization Consultant Resume Examples & Samples

Provide business expertise and direction on how clients can best leverage analytics and optimization solutions to drive business decisioning and performance
Evaluate maturity of clients’ digital marketing capabilities and processes and deliver recommendations for streamlining efforts and improving results
Diagnose implementation errors and poor practices preventing clients from realizing value from analytics and optimization solutions
Design new or specify enhancements to analytics and optimization solutions
Support design and implementation of page tagging, configuration of testing and targeting campaigns, and report construction
Develop and deliver training to content authoring and digital intelligence teams
Travel Required
Experience translating digital business drivers into measurable KPIs
Experience designing and implementing custom web analytics solutions using tools such as Adobe Analytics, Google Analytics, and WebTrends
Experience coordinating website optimization efforts (dynamically targeted content, A/B and multivariate tests) using tools such as Adobe Target, Optimizely, and Visual Website Optimizer
Experience performing analysis, data modeling, and developing reports to answer critical business questions
Proficiency with Microsoft Excel and PowerPoint
Familiarity with web technologies including HTML and JavaScript
Exposure to the following technologies a plus
Bachelor’s Degree required, preferably in Business Administration, Interactive Marketing, Strategic Marketing, Product Development or Marketing Communications
Prior digital marketing or business intelligence role within industry sectors such as CPG/retail, financial services, life sciences, media publishing preferred

Consultant, Analytics Resume Examples & Samples

Act as a portfolio business and analytical subject matter expert to provide ad-hoc quantitative evaluation and support portfolio management decision making
Utilize advanced data science tools (Aster, Hive, Python etc.) to mine the large scale of structured and unstructured data to find customer behavior & preference insights
Leverage advanced analytics technology (Machine Learning, Pastern Recognition etc.) to develop and enhance customer behavior segmentation
Efficiently utilized appropriate statistical algorithm to create data-driven solutions for developing and enhance portfolio 3R targeting strategy (Right offer to Right customer at Right time)
Continually expand & enhance analytics capability, continue to improve process, explore/adopt new tools
Provide methodological leadership in analysis and lead off-shore analytics at project base
7+ years experience in analytics field
5+ experience with Teradata SQL and SAS. Work experience with Aster SQL is strongly preferred
Familiarity with Hadoop and web analytics tools like Site Catalyst. Work experience with R or Python is highly preferred
Master degree in Statistics, Data science, Industrial Engineering, Operations research or related quantitative fields
Excellent project management and communication skills
People management experience is a plus
Experience in leading cross-functional projects
5+ experience with Teradata SQL and SAS

Consultant, Analytics Resume Examples & Samples

Ascertain objectives and requirements from business partners
Design, direct or execute statistical and marketing analysis, interpret results, formulate recommendations, and present to management
Establish and maintain a thorough understanding of the statistical and business impact of key variables on direct mail performance
Proactively identify trends or developments that may impact business plans or performance or which may represent opportunities for DM channel
Continuously expand and grow competency in statistical and analytical principles, tools and techniques, and advise management, clients, and other business partners on the effective use of analytical methodologies, particularly those related to statistics and modeling
At least 5 years applied business statistical analysis experience, preferably in the credit card industry
Experience should include target marketing and encompasses experimental design in a SAS environment
Experience presenting technical information to management
Knowledge and ability to apply advanced analytical methods, techniques and tools. Statistical techniques include but are not limited to: Logistics regression, decision tree; factor, cluster, discriminate analysis, and design of experiments
Fully functional in SAS & SQL programming language and commands or other designated programming, scripting or query languages
Familiar with Hadoop environment and experience with open source programming language R, hive is a plus
Experience with statistical software tools that span UNIX and PC environments
Strategic perspective and the ability to conceptualize as well as execute
Ability to meet deadlines and follow-through
Highly developed oral and written communications skills that include the ability to convey complex technical ideas in a simple straightforward manner and effectively organize and deliver oral presentations of technical results

Human Capital Analytics Consultant Resume Examples & Samples

Experience working with SQL
DBA Experience
Server side Scripting Language(ASP/ASP.net)

Consultant, Risk Analytics Resume Examples & Samples

A College or University degree (mathematics, statistics, finance, economics, engineering) and/or relevant proven work experience is required; Advanced degree in related field (math, statistics, finance, economics, engineering) or equivalent career experience preferred Related Industry qualification is preferred
Excellent oral and written communication skills are required
Strong conceptual and technical knowledge of risk concepts and quantitative modeling techniques For more than a century, Northern Trust has worked hard building our legacy of outstanding service, expertise and integrity

Datawarehouse & Analytics Consultant Resume Examples & Samples

Designing, implementing and supporting Database solutions
Full project lifecycle, from requirement gathering to design, build, test, deploy and documentation
Building and maintaining good customer relationships
Development of ETL and data integration processes
Ability to self-manage and work without direct supervision on customer sites
Valid UK Driving Licence

Marketing Analytics Consultant Resume Examples & Samples

Partner and team with technology solution providers and marketing agencies to deliver the best solution meeting the needs of our clients
Project-based analytics including but not limited to Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Big Data Analytics, Pricing and Promotion, Trade Analytics, Markdown Optimization, Demand Forecasting, Customer Segmentation
Minimum of 3 years of increasing experience in management consulting or industry
Minimum of 3 years delivery experience in advanced modeling environment: strong understanding of statistical concepts and predictive modeling. (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning (i.e. Azure, TensorFlow, etc.)
Minimum of 3 years expertise with the Microsoft suite (including advanced Excel skills with embedded Pivot Tables & Macros; advanced PowerPoint usage)
At least 2 years experience with predictive analytics and BI tools which may include at least two applications from R / Revo R, SAS, Python, Spark, and Tableau
Possess a blend of marketing acumen, consulting expertise, and analytical capabilities that can will create value and insights for our clients
Plan and manage own work in collaboration with the team to meet assigned deliverables in a timely manner
Demonstrated teamwork and collaboration in a professional setting; either military or civilian

Information Management & Analytics Consultant Resume Examples & Samples

ResponsibilitiesCollaborate with business users and analyze user requirements
Lead analysis, architecture, design and development of data warehouse and business intelligence MDM solutions
Work independently or as part of a team to design and develop analytics/reporting solutions using SSRS, SSAS, PerformancePoint, PowerView and Excel/Excel Services
Design and develop Integration (ETL, ELT, Data Governance, MDM) processes using MS SQL Server 2012 SSIS, DQS, MDM or other related tools/technologies
QualificationsTechnical Specialization in: SQL Server Analysis Services, SQL Server Reporting Services, SQL Server Integration Services, SQL Server MDM,Informatica MDM, DQS and other related technologies, SharePoint and SharePoint integration with PerformancePoint Services, PowerView and Reporting Services, PowerPivot
Data Warehousing and Data Modeling, specifically building / understanding star schema based data marts

Prescriptive Analytics Consultant Resume Examples & Samples

Bachelor's degree in Supply Chain, Operations Research, Industrial Engineering, Statistics, Economics or a related field is required; Master’s degree is preferred
2+ years of experience in developing and implementing analytical models is required
Excellent verbal and written communication skills is required
Proficiency in engaging and influencing large teams and functional leaders is required
Skills and hands-on experience with SQL are required
Knowledge and hands-on experience with statistical software packages (e.g., R, SAS or SPSS) is required

Analytics & Rptg Consultant Resume Examples & Samples

Bachelor’s Degree in Accounting, Business, Economics or Finance, and 4 years’ experience in data analysis to support reporting that leads to fact based decision making; OR a technical certification, and 6 years’ experience in data analysis to support reporting that leads to fact based decision making; OR 8 years’ experience in data analysis to support reporting that leads to fact based decision making
2 years in project/portfolio management organizations
Exposure to project portfolio management functions and tools
Exposure to ITG Operational reporting
Accountability around decision support and analysis around program and project delivery
Ability to manage IT reporting functions
Exposure to Project Delivery, Financial reporting, Demand and Capacity management etc
Story boarding and dash boarding skills
Skills in consensus building, conflict mgmt., time mgmt., work prioritization, and continuous process improvement
Customer relationship management
MS Office Suite of products (Excel, PPT, SQL, VB Scripting etc..)
Bachelor’s Degree in Accounting, Business, Economics or Finance
MBA, Masters in Accounting, MIS
Adaptability/ability to recognize need for and manage change
SQL Server, Access DB skills, stored procs., and visualization tools like Tableau
Must have strong Excel skills around reporting
Experience with MS SQL reporting with SSIS
Experience with Tableau a plus
Experience with Excel and Access Database reporting preferred
Experience with Visio and VB a plusIL - Chicago

Business Intelligence / Analytics Consultant Resume Examples & Samples

Assisting in the gathering and analyzing of client requirements for BI/analytics implementations
Documenting business requirements, dependencies and progress by participating in interviews, use case outlines, workshops etc
Participating in the design and execution of qualitative or quantitative analyses to help clients improve their effectiveness
Presenting and communicating results to Deloitte teams and clients
Understanding the features, functions, and capabilities of software platforms in order to achieve proper business requirements alignment
Analyzing the impact of business requirements changes to the project
Documenting dependencies and changes and tracking, monitoring and reporting on progress and issue resolution
Acting as a liaison between the development team and business stakeholders and facilitating team interaction
Assisting in leadership communication including progress reports, issue resolution and escalation to management including the creation of deliverables to support communications
The successful candidate will have 1-3 years of experience as an client facing analyst for Business Intelligence Platforms or Data Analytics tools (preferred QlikView)
Experience in using effective methods to obtain relevant client data for data analysis
Willingness to travel to client locations
Professional demeanor and presence
Excellent oral and written communication skills, including presentation skills
Client Management: ability to develop professional relationships with peer-level client personnel through regular contact; communicate clearly
Ability to help facilitate client meetings and workshops to define client processes and needs
Experience building dashboards in a tool such as QlikView
Education: Bachelor's degree (BS or BA) is required

Life Sciences Analytics Consultant Resume Examples & Samples

Working with Accenture client teams to diagnose problem areas, seek optimization opportunities and contributing to architecting the solution
Bringing deep data manipulation, interrogation and visualization skills to maximize the utility of data insights, with a strong focus on high quality, on time project delivery
Deep technical skills, with a proven ability to pick up and work with Analytics tools such as SAS and Rev R
Presentation of results to clients
Leading, mentoring and coaching of co-workers and client teams
A proven track record in the development and implementation of data analytical projects, models and solutions
Familiarity with the application of predictive analytics, cognitive computing and forecasting to real world problems
Proven problem analysis and problem solving skills; Excellent numerical aptitude
Strong interpersonal and presentation skills - ability to convey technology and business value propositions
Ability to work independently, handle multiple tasks, and prioritise based on the requirements of the business
For management candidates, leading and mentoring teams to deliver projects
Minimum 5 year’s industry experience
Life Sciences industry knowledge advantageous
Prior project management experience

Digital Audience Analytics Consultant Resume Examples & Samples

Develop & outline audience testing strategy recommendations as needed to help clients better understand their consumer base
Customer Data – familiarity with customer data, personalization, and customer engagement metrics sourced from digital marketing channels
Familiarity with offline data environments (i.e. CRM systems, email platforms, data lakes)
Project management skills in delivering on time solutions that routinely exceed customer needs

Consultant, Analytics Resume Examples & Samples

Build processes and framework to solve marketing analytics business problems
Design standardized process to execute different quantitative models built in partnership with predictive modeling team
Build automated channel optimization processes for directing merchants to the most appropriate channel every month based on activation probabilities or pre-defined ROIs for merchants
Design and maintain processes to input dispositions of marketing campaigns
Support in-house tools such as campaign tracker, campaign central and adhoc request flow
Conduct Deep-dive analysis on campaigns as requested by business partners and also pro-actively as needed to fine-tune our campaigns for acceptance and volume
Assist building best-in-class quantitative models, testing and validation
Develop dashboard and reporting for upper management that encompasses current activities
Manage and maintain the overall project tasks and timeline
Ensure all project milestone dates are agreed upon and achieved
Bachelor's Degree in a quantitative discipline (Master's preferred)
3 years of focused work experience in analytics and/or consulting
Experience would ideally include: empirical research in financial services field, econometric analysis, statistics, and forecasting; reporting, analysis, and forecasting tools such as SAS, SQL, R, Tableau and experience with preparing and analyzing large data sets
Strong SAS and/or SQL skills required to structure, organize, manipulate, join, validate, format and synthesize information from data located in multiple sources
Excellent Power Point, Excel, Business Writing and Communication skills
Experience in building, testing, and implementation of statistical models, such as logistic, multiple linear regressions, variable selection, decision tree algorithms, neural network modeling and other predictive modeling is preferred
Experience conceptualizing and building creative analytic solutions to complex problem
Experience presenting complex analytic processes to a non-analytical audience
Must have the ability to deliver executive presentations
The ability to think analytically and translate business problems into analytical processes and glean actionable business insights from the output of analytical process is required for success in this role
Must have ability to manage and deliver on multiple projects with limited guidance

Consultant, Advanced Analytics Resume Examples & Samples

Utilize claims and other relevant data sets to help size opportunities and potential feasibility of ideas generated by the Innovation product team
Advise Innovation product team members and act as a though partner during early stages of initiatives
Closely track and measure pilots in flight; communicate results to Innovation product team and claims leadership
Research and become an expert in new and unfamiliar sources of data that accompany new technologies or vendors
Project scalability and impact of initiatives as they move through the Innovation life cycle
Partners closely with a large Innovation network within Liberty Mutual and with other LOB analytics and data strategy teams in Claims
Communicates Innovation portfolio projects to key senior leadership on an ongoing basis to ensure project success
Bachelor’s Degree in related field or equivalent training required
Minimum 3-5 years relevant work experience - familiar with P&C insurance a plus
Strong technical skills in obtaining and manipulating data in SAS EG, MS Excel
Must possess background that has developed analytical and problem-solving skills
Motivated and challenged by new ideas, comfortable with operating with some degree of ambiguity
Strong record of results from prior roles with written and communication skills, including ability to present to senior leadership

Marketing Analytics Consultant Resume Examples & Samples

Work directly with Public Libraries to develop strategic planning, marketing, and outreach initiatives based in-part on demographic and psychographic library patron and community data
When appropriate, work with key internal stakeholders to develop unique solutions that are particularly suited to a customers’ needs, including but not limited to customized products, pricing, contract terms, training and support
Identify, follow, articulate and remain current with emerging trends and their affect on the business. Develop and articulate an understanding of factors influencing trends, as well as possible actions or reactions to leverage trends
Develop long-term relationship strategies with key customers and lead user groups that inform Gale Cengage product development efforts for the public library segment (e. g. Concept to market, product ideation and innovation, etc.)
Monitor and assist in implementation of new program launches as needed, working closely with the customer care team
Monitor and articulate customer account satisfaction
Minimum of 5 years of recent, relevant experience, including a minimum of 3 years of experience in strategic planning and orchestration of complex customer relationships (community & marketing analytics, demographic analysis)
Demonstrated strong internal/external customer focus and personal leadership
Ability to collaborate with all levels of management
Proven ability to build relationships and network effectively

Consultant, VBA Analytics Resume Examples & Samples

Understand and translate statistics to address client business problems
Provide high-end consulting to clients to help them sharpen their business strategy by implementing analytical models that support the realization of business objectives
Knowledge of Advanced Excel, VBA mandatory
Good to have – Experience in R, any BI tool like Tableau
Good to have-Knowledge of Market Mix Modelling
Should have at least 1-4 years of hands-on modelling experience on R/SAS/SQL
Knowledge of at least a few analytical approaches required
Excellent problem solving skills and communication skills required
Need very strong consulting and storyboarding skills

Fnctional & Indstry Analytics Consultant Resume Examples & Samples

Excellent understanding of a specific Industry’s data sets
Deliver data and BI/ analytics driven engagements
Analytics driven engagements
Leverage ones hands on experience of working across one or more of these areas such as real world evidence data, digital marketing data
4 years of experience with open source machine learning tools: Python/scikit-learn or Revo R
3 years of experience with scripting languages (e.g., Python, Ruby, Perl, Bash) for orchestration and data manipulation
3 year Data engineering experience, including SQL and experience manipulating structured and unstructured data sources for analysis
3 year experience delivering analytical solutions using modeling tools (e.g. SAS, R, SPSS, etc)
Bachelor’s Degree in a relevant field like statistics, computer science or applied math, physics or relevant subjects or 4+ years of experience in computer science, applied mathematics, or other quantitative/computational discipline
Experience with MapReduce/Hadoop and related technologies (e.g., Pig, Hive, Cascading)
Familiarity with Amazon Web Services and Elastic MapReduce a plus
Familiarity with Hadoop based commercial packages (e.g. Cloudera, Hortonworks)
Experience in text mining/NLP
Strong background in statistical concepts and calculations
Innovative and strong analytical and algorithmic problem solver

Consultant, Analytics Experience Resume Examples & Samples

1+ years' experience as a business / data analyst responsible for supporting business functions by performing analysis to prepare insights, reports and dashboards
Experience of working with business users & leaders to gather, document and prioritize requirements
Strong interpersonal and communications skills

Benchmark Analytics Consultant Resume Examples & Samples

Meet with clients to gather information and data; validate and analyze information and develop recommendations related to IT efficiency, effectiveness and process maturity
Develop recommendations and methodologies to help clients capture the most critical, actionable data to achieve their business objectives
Perform analyses and develop deliverables appropriate to the specific benchmarking engagement
Conduct internal and external research as necessary to substantiate any recommendations
Analyze findings and prepare written reports and recommendations normally presented to clients in person
Depending on project size, incumbent may supervise other personnel, assign work, establish and maintain schedules, control project expenses and integrate individual work into a coherent and quality deliverable
Must have experience working with large data sets including: statistical analyses, data visualization, data mining, and data cleansing/transformation
Experience with data analytics and visualization capabilities
2+ years experience in an analytics/business intelligence role required
2+ years experience managing full life-cycle development and support of technology-related solutions required
Experience with BI visualization tools, specifically Tableau / Alteryx
Strong understanding of IT and its business impact
At least 2 years of management consulting experience conducting IT strategy or IT operational efficiency/business effectiveness consulting projects
Financial and statistical analysis skills
Advanced Excel capability; modeling, etc
Bachelor’s degree, preferably in Information Systems

Client Analytics Consultant Resume Examples & Samples

Use advanced statistical methodology and machine learning techniques to create a variety of lead generation, tracking, monitoring, reporting and analytic tools and models
Design new and more efficient tools or methods of analysis and work for the partner teams on additional reporting and helps to build sales muscle
Takes a value-centric approach to analytics
Increase relevance of business development and marketing efforts and drive ROI through the creation and implementation of targeted segmentation for direct and digital marketing efforts based on disciplined analytical analysis
Develop campaign forecasts for each individual campaign to anticipate campaign performance
Utilize SAS or other analytical tools to perform advanced data manipulation and analysis (modeling, simulation, segmentation, etc.) to inform the targeting of customers for direct and/or digital campaigns to increase customer relevance and drive ROI
Design and execute valid test and control strategies for campaigns, offers, and seasons
Ensure all campaigns are set up and executed according to appropriate targeting models, specifications and rules
Make recommendations for improving targeting and measurement strategies and processes
Accurately measure and evaluate effectiveness of CRM targeting strategies across a year, season, piece, channel, or client segment
Develop and execute measurement and reporting which accurately reflects business results and informs future decision making for CRM campaigns and offers
Conduct ad hoc reporting on individual campaigns, as needed
Drive analytics lab database development and management
Build and validate predictive models to analyze behavior and ensure efficient and relevant outreach to target audience and to optimize campaign outreach efforts
Design, implement and analyze experience across various campaigns and channels
Develop and improve campaign survey methodology
Produce analysis to help campaign allocate more resources efficiently
Mine text data to improve campaign’s communication with target audience over time
Lead application of advanced analytic techniques such as multi-variate regressions, logistic regressions, and latent class segmentations
Develop comprehensive understanding of prospect and client segments and leverage insights to assist in creating plans to increase value
Review data for trends, patterns, and causal analysis to assist in understanding persona behaviors and attitudes
Assist with the design, execution, and analytical support of primary research (qualitative and quantitative) to evaluate and assess in relation to campaigns and business development efforts
Articulate and summarize data and analysis in a simple and concise format. Translate reports and analysis to distill actionable insights
MBA / BE - Econometrics, statistics, mathematics, computer science, machine learning, or equivalent practical experience in an analytic or creative setting
Expertise with predictive analytics and modeling, data base management, modeling tools, survey methodology, causal inference, experimental design and analysis, independent research, text analysis / natural language processing and regression analysis
Expertise in various statistical packages such as R, Stata, Python, Weka, Tableau or Apache Spark; as well as incorporating third party research feeds and overlays to enhance data sets
Experience with SQL queries and data visualization tools as well as relational databases
Must be proficient in Excel, SQL, and SAS
Ability to work collaboratively in a fast-based group environment
Has experience playing a pivotal role in developing data-driven strategies

Consultant, Advanced Analytics Resume Examples & Samples

Conducts high complexity analysis for a particular business unit/function
Manages low to moderately complex projects, while providing technical and analytical assessments of issues facing the business
Utilizes more advanced statistical techniques to solve business problems. May regularly utilize, update and adapt predictive modeling tools and/or focus on the application of the tools
May develop analytic tools used by others to do their jobs more effectively and guide decision-making
Answers complex questions by synthesizing data from diverse sources
Manages one or more complex research projects
Presents findings / recommendations which impact profitability, growth, and/or customer satisfaction
Bachelor's Degree plus a minimum 5 years, typically 7 or more years, of related experience required; Mathematics, Economics, Statistics or other quantitative field are preferred fields of study
Master’s Degree preferred; advanced education may be substituted for years of experience (i.e Ph.D. with no professional experience)
Ability to build analytic tools that will be used by business teams to analyze results and opportunities
Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem)
Must have good planning, analytical, decision-making and communication skills
Ability to present data, visually and verbally, to guide conversations with business managers

Consultant, Customer Analytics Resume Examples & Samples

Develop & conceptualize sophisticated & innovative analytical solutions that integrate diverse information solutions and generate actionable insights
Support business development teams in preparing client pitches
2-4 years of relevant Analytics' experience with focus on problem solving and advanced analytics solutions
Experience in delivery in a data analytics environment
Demonstrated ability to handle multiple types of data
Strong interpersonal skills and ability to communicate effectively with clients
Preference will be given to candidates with experience in technology and technology-services domain

Consultant, CPG Analytics Resume Examples & Samples

Develop & conceptualize sophisticated & innovative analytical solution and actionable insights with high client and business understanding
Provide high-end consulting to clients to help them sharpen their business strategy by implementing
Analytical models that support the realization of business objectives
Be the thought leader in the focus area, go to person for internal teams, Generate knowledge sharing trends in the team, participate in developing white papers & share new trends in analytics with colleagues, evolve one’s own opinion on the concepts
Knowledge of R/SAS/SQL mandatory
Should have worked on Market Mix Modeling
Should have at least 2-4 years of hands-on modelling experience on R/SAS/SQL
Client results and response focus

Consultant, No Fault Claims Analytics Resume Examples & Samples

Support call center, subrogation, and support field/product organizations through monitoring of key financial and operational performance indicators as well as strategic initiatives
Conducts or directs complex research to obtain information such as financial data, operational productivity, market profiles, and business process flows
Identifies trends and issues following pre-defined business processes
Queries data to conduct ad hoc analyses of metrics
Based on analysis, develops reports, proposals for action or implementation plans as necessary and presents to management. Communicates with other departments as necessary
Monitor and measure results relative to planned and forecasted outcomes to validate recommendations
Reports to supervisor on project status and seeks guidance as needed
Performs or coordinates special projects and ad hoc analyses as requested
Lead own work streams on most projects. Manage aspects of moderately to highly complex projects
Minimum 3 – 5 years’ experience in finance, planning, reporting or other analytical roles
Strong analytical, problem solving, modeling, and research skills
Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques
Effective verbal and written communication skills for exchanging information across multiple levels of management
Demonstrated experience querying and analyzing complex data sets: statistical software packages (e.g., SAS EG) and data manipulation (SQL), Excel/VBA
Advanced proficiency with Microsoft Power Point and Excel
Experience with SAS, Essbase or similar database tools preferred

Google Analytics Consultant Resume Examples & Samples

Perform an evaluation of the current system by taking an inventory of the existing tags
Create a new GTM container that unify all our application tagging or move other containers (CSS Web and Mobile app) to existing centralized GTM container
Work with business team and Create tags using new taxonomy and metrics
Start work in cleaning up existing GTM container for Acquisition team
Start work in cleaning up GA events for all applications
Candidate well versed in Google Analytics and Google Tag Manager
Consulting and implementation background in digital
Experience in Tealeaf, Mobile Analytics, Localytics etc

Advanced Analytics Enablement Cognitive Consultant Resume Examples & Samples

2+ years of relevant Analytics consulting or industry experience
At least 6 months experience in implementing IBM Watson, Cognitive scale. Apache
At least 1+ years in Java Programming at User Interface (UI) level

Assistant Analytics Consultant Resume Examples & Samples

Technical experience using SQL to create reports or deliver data analysis
Familiarity with SAS, R or similar statistical software
Ability to articulate depth and breadth of expertise in the following: analytical thinking, communication for results, conceptual thinking, information seeking, initiative, openness to learning, results orientation, teamwork, thoroughness, understanding environment

Project Analytics Enabling Consultant Resume Examples & Samples

3 - 5+ years of relevant experience, to include deep analytics and financial modeling experience
Comfort with coaching and mentoring junior resources outside of the US
Experience in requirements definition and development of modeling tools
Understanding of data mining and data modeling, including the ability to discern relationships/correlations amongst disparate data
Ability to understand and transform unstructured data into client-level dashboards and reports
Ability to work independently with little to no supervision
Experience with financial reporting and analytics including leadership of analytics-focused projects, and an ability to identify and interpret trends in data and financial metrics leading to prioritized action items
Understanding of organizational dynamics and experience working in a matrixed work environment
Relationship building and demonstrated ability to influence

Area Marketing & Analytics Consultant Resume Examples & Samples

Optimize tradition and digital marketing processes and integrate across the enterprise in order to maximize the opportunities of data, analytics and marketing outcomes
Build, deploy, maintain and scale Big Data and marketing solutions that reduce complexity and cost
Bachelor degree in Engineering, statistic or Informatics
At least 4 years of continuous experience in Communication industry in the Marketing & Analytics area, with deep expertise on Data Warehouse, Big Data,Campaign Management, advanced analytics, Digital Marketing
Experience in data management and marketing architectures, hands on experience on advanced analytics platforms (SAS, RevoR) and campaign management platforms (Unica, Aprimo, Pega NBAM, SAS, SFDC), Big Data distributions (Cloudera, Hortonworks), Digital Marketing platforms (Adobe Marketing Cloud)
English fluent is mandatory

Catastrophe Analytics Consultant Resume Examples & Samples

Use the AIR and RMS Cat models to analyze CNA’s catastrophe portfolio, research risk contributors, understand model and exposure trends, and work to find solutions to problems that arise
Designs, writes, and tests programs in SQL, R, C++, and/or VBA, to optimize processes, create underwriting tools, and perform ad-hoc analyses
Provide quantitative support for financial analysis, management reporting, and other economic research
Communicate and provide guidance to Actuarial, Finance, Economic Capital modelers, Reinsurers, and Underwriting for the appropriate use of the Cat model for analysis and forecasting
Demonstrated technical expertise of the Cat models
Experience designing, writing, and testing programs in any language such as VB/VBA, Python, Java, or C++
Strong knowledge of SQL and experience writing SQL code
Strong interpersonal and communication skills. Ability to effectively interact with all levels of CNA’s internal and external business partners
Ability to exercise independent judgment and make critical business decisions effectively within scope of authority
Based on data analyses and reviews
Ability to fully comprehend business information and to further articulate analysis in internal reports
Solid knowledge of Microsoft Office Suite as well as other business related software and other company systems

Operations Advanced Analytics Consultant Resume Examples & Samples

MS in Computer Science, Engineering, Applied Math, Quantitative Social Sciences or related field
PhD in Computer Science, Applied Mathematics/Science, Engineering, Statistics, Quantitative Social Science or related field is a plus
3+ years of deep technical and management experience in distributed computing, machine learning, and statistics related work
Experience developing or designing large software systems
Programming experience with R, Python or related platform
Proficiency in one or more of the following: predictive analytics (maintenance, production, environmental conditions), optimization, mine planning tools & software, simulations, automation
Strong communication skills, especially around breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues
Have a “finger on the pulse” of what’s driving the mining and processing industries

Advantedge Analytics Consultant Resume Examples & Samples

Understand general requirements in terms of overall contribution to business value
Assist with M&A activities as well as competitive intelligence research
In partnership with Legal, Corporate Development, and other teams; execute on our strategies (e.g., mergers and acquisitions, strategic partnerships, integration plans, and competitive intelligence)
Build awareness internally, including ensuring that business partners (e.g., enterprise data governance, legal, compliance, risk management, etc.) are familiar with product vision and business potential
Prioritize decisions quickly, accurately, and effectively, with clear view of the business impact of those decisions

Advantedge Analytics Consultant Resume Examples & Samples

Proactively deliver business and market intelligence and organizational structure information, analyzing, synthesizing, and interpreting findings, in order to identify threats and produce solutions and opportunities to enhance the business
May consult with internal and external constituents analyzing and interpreting industry and competitor intelligence from multiple databases and industry sources, to effectively contribute to strategy development, business planning, battle card development, presentations and ultimately, new business development
Develop a strong working relationship/rapport with the Strategy Management Office as well as other key contributors and users of competitive intelligence across the business
Measure and understand the customer experience with competitors by reviewing available data including primary research results, win-loss business analysis, and front line employee feedback
Analyze and disseminate key insights, ensuring resulting insight is reliable and actionable
Facilitate data-driven, fact-based decision making
Maintain market intelligence information to efficiently organize and share market, industry, and competitor information with the AdvantEdge team and across CUNA Mutual Group

Consultant, Analytics Resume Examples & Samples

Establish and maintain a thorough understanding of the statistical and business impact of key variables on brand and acquisition KPIs including awareness, consideration, recommend to a friend, and card application and booking
Proactively identify trends or developments that may impact business plans or performance or which may represent opportunities for upper funnel brand activities
Continuously expand and grow competency in statistical and analytical principles, tools and techniques, and advise management, clients, and other business partners on the effective use of analytical methodologies, particularly those related to statistics and modeling in a brand marketing context

Assistant Analytics Consultant Resume Examples & Samples

Bachelor Degree OR 1 year experience in data analysis and information reporting relating to healthcare data, including pharmacy
Performs routine assignments in the entry level to a professional role
Typically requires a college or university degree OR the equivalent work experience that provides knowledge and exposure to fundamental theories, principles and concepts
Receives significant instruction, guidance and direction from others
Uses existing procedures to solve routine or basic problems
Learns needed skills by performing assigned work
Learns to work autonomously

Finance & Risk-risk Analytics Management Consultant Resume Examples & Samples

Minimum 3 years of experience with
Credit, market, liquidity and/or operational risk analytics (e.g., model development, strategy and framework, scorecard development, model documentation, model validation, model governance, model implementation, integration and automation, etc.)
Hands-on experience with SAS or Matlab. Exposure and/or proficiency to other analytical tools such as R, SQL, C++, VBA, Murex, Calypso, Numerix, etc., desirable
Demonstrated experience with credit/market risk type models (e.g., CVA, ALLL, PD/LGD, Roll Rate, VAR, SVAR, etc.)
Minimum 2 years of prior Management Consulting experience focused on Risk Analytics in the Financial Services industry (e.g., Banking, Capital Markets and/or Insurance)
Solid project management experience (e.g., defining scope, setting project timelines and milestone, driving deliverables, identifying risks, managing issues, and client relationship management)
Demonstrated ability to identify the root causes of issues by analyzing patterns and trends
Excellent communication (verbal and written), facilitation and interpersonal skills, including the ability to clearly communicate complex problems and solutions in a simple, logical and impactful manner, both internally and externally
Ability to work collaboratively and independently while managing multiple projects, assignments and/or responsibilities
Highly motivated with the ability to thrive in a fast-paced, high energy, and demanding team-oriented environment
A strong desire and ability to develop creative and breakthrough solutions
A strong desire to deliver to a high standard
Results-oriented, self-directed, inquisitive, and entrepreneurial
Ability to inspire and motivate others

100

Principal Consultant, Analytics Resume Examples & Samples

Lead, recruit, grow and retain high-calibre analytics talent at scale
Ensure excellence in delivery to internal and external customers
Create and implement a shared vision for data analytics applied to product development and delivery
Build roadmap for analytics working with thought leaders and other stakeholders at Fractal and respective client group
Empower consultants to move across existing opportunities up the analytics value chain
Identify and pursue new opportunities for applying unique, state of the art analytics solutions at respective client group
Foster innovation and leverage new technologies
Champion culture changes needed to pursue our Analytics strategy
Build deep partnerships with clients
Knowledge of variety and advanced analytic and research approaches
Expert-level proficiency in at least one of R, SAS or Python’s (preferred)
Expert-level proficiency in statistical/ML predictive techniques such as regression, Bayesian methods etc
Good to have working experience in one or more of time series modeling, advanced predictive modeling, SEM, GLM, GLMM, clustering and related areas
Ability to independently manage engagements from start to finish, delivering actionable insight within established timelines and budget
Demonstrated ability in driving business impact through the application of analytical techniques. Understanding and leveraging the connection between data structures, analytical methods, and business applications
Experience in marketing research or analytics; domain expertise in applying is a strong plus. Ability to interpret research findings for multiple audiences, extract insights and communicate effectively. Experience working in a consultative capacity (internal or external) is a strong plus

101

Life Sciences Analytics Consultant Resume Examples & Samples

Assesses industry trends, create reports, prepare forecasts and develop industry/functional models
Excellent understanding of Life Sciences Industry/Domain
Working with one of the sub-industries within Life Sciences – Pharmaceutical, Biotechnology, Medical Technology, Generics, Distribution, and Consumer Healthcare
Understanding of the data sets within these sub-industries – example: commercial, point of sales, clinical, claims data etc
Creating solutions around one or more of the below areas
Bachelor’s Degree required
Minimum 3 years of hands-on experience working on advanced analytics projects involving statistical models
Minimum of 2 years of demonstrated experience with written and verbal communication skills including formal and informal presentations, building client relationships and providing excellent client service
Minimum 2 years working with BI/Analytics visualization tools like Tableau, Spotfire, QlikView etc
Minimum 2 years of experience with advanced analytics tools such as SAS or R
Minimum 2 years’ experience working with Real World Evidence (RWE) data
Strong preference for prior experience working with teams from multiple US geographies and understanding of US market
Strong desire to grow technical analytics skills
Exceptional business acumen
Solid Microsoft Office (Excel and Powerpoint) skills
Strong business and technical accountability

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