Analytics Consultant Resume Samples

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B Steuber

Belle

Steuber

73967 D'Amore Unions

San Francisco

+1 (555) 328 8537

73967 D'Amore Unions

San Francisco

Phone

p +1 (555) 328 8537

Experience Experience

San Francisco, CA

Analytics Consultant

San Francisco, CA

Konopelski, Grady and DuBuque

San Francisco, CA

Analytics Consultant

Develop and maintain provider attribution models to drive consumer engagement in Humana’s clinical, rewards, and network activities
Develop work-plans and execute against these plans with independence and ownership
Good working knowledge of factor models, portfolio construction processes, risk management, pricing models, stress testing or performance attribution
· Leads business development efforts and supports product development, management, and marketing initiatives to fuel revenue growth
Innovates: Introduces or develops new ideas and processes which improve performance and productivity
Executes for Results: Effectively leverages resources to create exceptional outcomes, embraces change, and constructively resolves barriers and constraints
Conduct analysis and present key findings based on scope of work and ongoing client analytical work

New York, NY

Data Analytics Consultant

New York, NY

Boyle-Tromp

New York, NY

Data Analytics Consultant

Work across business units to develop, refine and scale data management and analytics procedures, systems, workflows, best practices and other issues
Develop improvement plans based on analytical data and tie improvement plans with data points
Applies in-depth or broad technical knowledge to manage client’s service across various technology areas or functions
Work within an agile environment and provide daily updates on progress
Work with disparate data sets from multiple client systems to develop comprehensive analytical models
Act as a strong liaison and provide analytic support on network related initiatives
Assists in the development the Allstate ABI data quality and validation guidelines

present

Phoenix, AZ

Senior Analytics Consultant

Phoenix, AZ

Lemke and Sons

present

Phoenix, AZ

Senior Analytics Consultant

present

Analyzing Marketing opportunity drivers for CIBC, relative to expected performance and providing insights to Marketing management
Explaining unanticipated variations from expected Marketing performance and behaviours and providing recommendations to Marketing management
Provides custom quantitative analytics on workforce measures and other analyses, developing research designs and quantifiably evaluating change and progress
Develops presentations derived from workforce analyses and insights to help clients assess the current state, areas for improvement and key trends
Develop KPI frameworks to gather deep insights into performance of various business and products
Develop productive working relationships (eg. information sharing) with Adobe Analytics teams in other territories (APAC, US, etc)
Collaborate with developers to create or enhance existing products

Education Education

Bachelor’s Degree in Engineering

University of Florida

Bachelor’s Degree in Engineering

Skills Skills

Solid proficiency of decision making and problem resolution skills
Planning and organizational skills with a solid attention to detail
Strong time management skills and multi-tasking abilities. Ability to prioritize, organize and plan work
Strong verbal and written communication with the ability to communicate within teams
Good working knowledge of factor models, portfolio construction processes, risk management, pricing models, stress testing or performance attribution
Good skills in Excel, Word, Powerpoint, Tableau
Demonstrated ability to make sound decisions and resolve problems while ensuring excellent client service
Ability to work collaboratively in a team environment
Ability to share domain expertise and assist customers to adopt recommended options
Strong analytical skills and demonstrated aptitude for data

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15 Analytics Consultant resume templates

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Insight & Analytics Consultant Resume Examples & Samples

Customer analytics including value management, segmentation, acquisition and marketing
Product and customer profitability analysis
Social media / sentiment analysis
Risk and regulatory analytics
Tactical data analysis and KPI reporting
Financial/Business projections, supporting corporate, business unit or organisational strategy
Decision support including business case and benefits management
Operational improvement for example through simulation & activity analysis and optimisation
Business reporting tools and financial applications
Education to degree level, ideally with finance, economics, engineering, operational research or other numerical subject matter
Your track record will demonstrate your experience in data management processes, in particular data identification, data extraction, transformation, quality analysis, validations and reporting
Experience of working with business stakeholders from across multiple business functions (e.g. marketing, sales, finance, procurement, etc)
Recent experience in one or more of the following target sectors Telecommunications, Media, Retail, Consumer Products, Healthcare, Government, Financial Services, Insurance, Utilities or Industrial Products
Customer analytics
Demand analytics
Sales/product analytics
Risk/regulatory analytics
The development of financial and / or operating models
Financial/MI reporting
Cost management
Pricing and profitability management
Experience with other toolsets in relation to the subjects listed above including for example geographic analysis tools, simulation packages and dashboard tools

Digital Analytics Consultant Resume Examples & Samples

Analyze customer and branch base around household growth, attrition, and cross-sell performance. Develop understanding of profitability metrics associated with performance in these areas
Participates in affiliate market reviews providing insights into household profitability and branch performance
Builds relationships with key partners in the bank including Marketing, IT, Segment team, and product teams
Provides input into the creation of detailed project plans, work assignments, target dates and other aspects of assigned projects
Identify and work with vendors to benchmark Fifth ThirdÆs performance vs. peer groups. Identify and provide best in class metrics (i.e., cross-sell)
Conduct market research to understand valuable insights on industry trends, customer segments, sales channels, etc
May be responsible for more complex customer analysis including
BachelorÆs degree in statistics, finance, economics or related field
Typically requires minimum of 5-7 years work experience
Database and analytical experience required
Proficient with MS-Windows and other related PC applications. Knowledge of SQL, SAS and GIS preferred
Excellent analytical, and written and oral communication skills
Ability to work both individually and as a member of a team

Business Intelligence & Analytics Consultant Resume Examples & Samples

Responsible for the design and development of tools and processes for measuring work, forecasting methods, staffing methodologies, and supporting re-engineering efforts and business management routines
Analyzes external market dynamics and other data sources to assess trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis
The Business Analyst will create specifications for reports based on business requests
Generates ad hoc reports and regular datasets or report information for end-users using system tools and database or data warehouse queries and scripts
Integrates data from multiple sources to produce requested or required data elements
Programs and maintains report forms and formats, information dashboards, data generators, canned reports and other end-user information portals or resources
Preparation of documentation for business proposals, training, and presentations
Experience running complex Cognos Reports and using other Cognos reporting tools, including report studio, analysis studio, and query studio
Advanced Knowledge of Excel
Visual Basic and/or SQL Programming experience

Analytics Consultant Resume Examples & Samples

Ability to engage with people across all levels of the organisation to extract business requirements
Base SAS, SAS DI Studio, SAS VA
IBM SPSS, IBM Cognos
QlikView
Pentaho
NetReveal
MicroStrategy
Willingness to learn new tools and technologies
A strong academic record including the achievement of a good honours degree or equivalent
A track record of achievement and recognition within their career, evidenced by promotions and role development
Excellent communication skills - clear, concise written documentation, reports and presentations
Happy to work away from home during the week (within the UK) and occasionally abroad
Interest in and capability to expanding knowledge into associated areas
Developed Vetted security clearance (highly desirable)

Analytics Consultant Resume Examples & Samples

At least 2 years experience in an Analytical role (e.g. in an External or Internal Consulting role or in a Strategy or Finance department)
At least 3 years experience in client facing role
At least 3 years experience in financial sector, banking
Greek: Fluent

Human Capital Data Analytics Consultant Resume Examples & Samples

Manage multiple analytic projects using sound analytics methodologies to derive usable insights to help leaders make quality decisions
Business partnering - Work closely with clients to understand Talent analytics requirements; collaborate with peer analytics functions (e.g. Finance, Markets, Service Line) to ensure cross-functional leverage of People Analytics
Develop new ideas for charting data using cutting edge visualizations to tell the story
Establish best practices for key analytical processes including research, and visualizations
Contributes to the change agenda and business case for data visualization technologies to shape how the organization should institutionalize people analytics toolsPepares recommendations / business cases for key improvements of the analytics function
Identifies best ways to deliver analytics and research
Connects with other analytic teams and visualization specialists to share best practice, learn and build the network
Asks good questions of leaders to understand exactly what is needed
Balance multiple concurrent project responsibilities and timelines
HR analytics experience with exposure to cross HR centers of excellence measurement including: engagement survey, recruiting, learning & development, diversity & inclusion
HR systems experience including visualization technologies, Sharepoint, business intelligence, reporting and database methodologies
Problem Solving / Conceptual Thinking: Knowledge, skills and abilities needed to establish and refine the strategies that drive organizational performance and add value to the business, with ability to assess the commercial viability of data analysis and research
Understanding of probability theory for use in decision making, including conditional probability, decision trees, real options,
Driving Results: Ability to perform and manage multiple tasks simultaneously and work well under pressure and with time constraints. Strong project management and organizational skills
Global Business Acumen: Knowledge, skills and abilities concerning global business fundamentals, business models, ethics, competitive analysis and cross cultural/geographical sensitivities
Competent in the technology underpinning the analytics work, including data manipulation and data visualization
General knowledge of HR laws and practices
5+ years of analytics experience
Significant experience in developing analytics solutions for business problems
Have proven extensive relevant experience in understanding data analysis and research functions
Proven track record of working with a senior stakeholder population

Client Insights & Analytics Consultant Resume Examples & Samples

Utilize strategic analytical tools and models to gain greater insight into client behavior, value, potential, and risk
Support Consultants and Senior Consultants to quantify client strategies by conducting exploratory and validating analyses to support fact-based decisions
Provide analytical support to Consultants and Senior Consultants for client strategies and initiatives for assigned segments as required by Client Insights and/or Segment Strategists
Gain working knowledge of various analytical tools to support business results
Conduct analyses with limited guidance to support segments to drive activities
Provide select Ad Hoc reporting as required by Client Insights/Segment Strategists
Utilize metrics and administer routine and less complex analyses to evaluate the effectiveness of decisions. Provide querying and programming expertise necessary to extract information for data analysis
Conduct analysis on a variety of data and research. Communicate findings and recommendations clearly and concisely to Client Insights Manager
Analyze credit data and financial statements to determine the degree of risk involved in extending credit or lending money

Analytics Consultant Resume Examples & Samples

Ensure and maintain data quality and reliability
Serve as an expert in provider attribution, having command of the data and methodologies used to produce provider attribution, including medical and health administration data, provider data, member data, and the supporting technology
Aid in the adoption and implementation of technology based solutions to automate data processing and reporting for clinical analytics
Partner with business and IT teams to design, develop, and facilitate the development of integrated business requirements and technical solutions
Ability to work in an Agile environment
Experience in working with large databases
Reliable, accountable & self-motivated with the ability to research possibilities and make a decision
Working knowledge of and experience using analytic technology (i.e. SQL, SAS, Oracle, .NET, OBIEE, …)
Extensive SAS experience
Extensive SQL and / or Oracle experience
5 - 10 years of experience performing analytics, software and/or application development, testing, data base management, and/or data warehousing
Prior experience in health insurance preferred, with working knowledge of IT methodologies and terminology

Analytics Consultant Resume Examples & Samples

Bachelor's Degree in Actuarial Science, Mathematics, Statistics, Biostatistics, Epidemiology, Public Health, Biology, Biomedical Sciences or related fields
Possess strong analytic skills
Prior experience with data extraction and analysis
Strong problem solving and troubleshooting skills, especially around data acquisition and delivery
Team player with strong interpersonal relationship, team building, collaboration and facilitation skills
Ability to work closely within a small team or independently, assimilate data and information, make prompt decisions and share results with colleagues
Excellent PC skills (including MS Word, and Excel) required
Master’s Degree in a related field
2 -3 years experience with data extraction and analysis
2 - 3 years experience with statistical analytic software packages such as SAS
Experience in working with large databases in a healthcare environment

Data Analytics Consultant Resume Examples & Samples

2+ years of Data Analytics experience
Degree in a related field
Strong understanding of relational databases and experience working with schemas,
Previous SQL experience with extracting and manipulating large datasets for analytical purposes
Solid understanding of database/reporting concepts and experience with one or more reporting tools
Experience learning data structures and analyzing data from a business perspective
Advanced VBA and Excel skills (including ability to analyze data using tools such as pivot tables)
Knowledge of financial / business modeling in Excel
Previous automation and process efficiency experience
Experience working in support of a Financial Organization / Financial Planning
Working knowledge of Oracle

Data Analytics Consultant, Australia Resume Examples & Samples

Use analytical software to access, transform, integrate, analyse and visualise client data
Provide input into strategic initiatives and programs
Demonstrate deep technical capabilities and professional knowledge
A degree in Accounting, Mathematics, Computer Science, Actuarial Studies, Engineering or a related discipline
A passion for working with large data sets and learning new methodologies, applications and skills for analysis
A demonstrated ability to clearly and concisely present data, conclusions, and recommendations such that they bring insight and improve clients' decision making processes
Competency in at least one programming language
Experience in an data analytics
Sharp analytical abilities and proven design skills
An enquiring mind willing to learn new skill sets
A willingness to work in teams both locally and globally

Analytics Consultant Resume Examples & Samples

Strong data and reporting background in building finance and risk systems
Expert level data architecture and/or data modelling experience in Financial Service
Technical skills in building BI/DWH; ETL design and reporting tools
Knowledge of key tools/vendors/integrated data models in the data and reporting space
In Investment Banking
In Retail Banking
In Insurance
Solution architecture for Finance and/or Risk systems
Technical architecture for Finance and/or Risk systems
Delivery lead/management
Project/programme Management (Prince 2 and/or PMP Certification) with technology background
Strong data architect/data model design experience in Finance and Risk
Specific experience in SAP Integrated Finance and Risk offering, Bank analyser, BW or equivalent in Oracle e.g. OFSAA, FAH, ODI or equivalent on IBM BDW /Teradata FSLDM etc
Strong experience with reporting tools e.g. SAP BOBJ/ODIEE/Oracle QMR/Axiom etc
Exposure to any of above and/or strong expertise EPM applications e.g. SAP BFC/TM1/Cognos Planning

PNO Analytics Consultant Resume Examples & Samples

Work directly with health insurance users to define and create Oracle SQL, SAS, DB2, or other database reporting solutions
Ability to present and explain analytic results to business stakeholders
Utilize database tools (PL/SQL Developer, Toad, SQL Server, SAS, MS Access, Excel) to extract and manipulate large complex datasets
Bachelor’s Degree in Statistics, Mathematics, Health Informatics, or Information Technology
Experience with SQL and/or SAS
Understands Relational Database Fundamentals
Understands Statistical Methods
Ability to collaborate and lead teams
Experience with medical claims/health insurance
Qlikview, Centrifuge, SAS Miner, SPSS, Tableau
Predictive Modeling experience

Big Data / Analytics Consultant Resume Examples & Samples

Lead pre-sales and delivery opportunities related to Data Monetization and Big Data
Develop effective collaborations with other Consulting , Systems Integration and Implementation organizations in Ericsson around Big Data related solutions
Lead team of experts on a delivery projects involving business intelligence, monetization of pre and post-paid services
The candidate is expected to have a University degree in Business or Engineering / ICT with an MBA. In addition, the would have a proven track record of achieving results (3-5 years) in a professional services business focusing on Big Data and Data Monetization
Sound understanding of big data analytics, data mining, predictive analytics
Ability to uncover hidden patterns, correlations and other useful information based on customer environment and systems. Ability to leverage such information to construct business benefits and customer value propositions related to new opportunities
Good understanding big data management, big data as a service
Travel up to 50% of the time (frequent travel of 4-6 weeks at a time) is required

Senior Analytics Consultant Resume Examples & Samples

Conduct broad-based, self-directed research of considerably complex business information, incorporating mathematical, statistical, and programming methodologies associated with fraud mitigation
Independently design and perform moderately complex statistical analyses using advanced analytical techniques and data mining tools
Predictive modeling which include complex statistical concepts/theories and predictions including optimization, clustering, neural nets, logistic regression, multiple decision trees, sampling, and Bayesian estimation. The analysis and modeling may require creative thinking to overcome limitations in data availability and data quality
Ongoing data analysis associated with rules management within CIBC’s fraud mitigation systems. Thereby, implementing new strategies and continuous improvement to existing strategies, associated with fraud monitoring systems, in order to mitigate fraud losses and decrease customer impacts/irritants
Consult with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices
Perform in-depth analysis of research information for the purpose of identifying opportunities, developing proposals associated with CIBC’s fraud mitigation systems. Provide advice and/or recommendations to senior and executive management, for the development and implementation of strategic business planning/objectives associated with fraud mitigation
Conduct considerably complex feasibility studies and cost/benefit analysis to clearly depict possible fraud mitigation rule options and recommended courses of action
Generate performance metrics and results associated with fraud mitigation rules and overall rule strategies
Management of various fraud mitigation systems, across different line’s of business, including the updating of fraud prevention strategies within the production systems. This may include direction to junior employees within the department
Manage an effective and modifiable equilibrium between fraud aggressiveness and customer impact in order to achieve the minimum business goals
Identify continuous improvement opportunities within fraud monitoring and provide support to projects in the capacity of subject matter expert
Translating/interpreting abstract or theoretical information and communicate this in a succinct manner to others with different disciplinary backgrounds
Provide complex statistical consulting to business units, assessing each unit’s needs and developing an analytical plan. Develop models and “what if” scenarios to demonstrate the range of options and potential impacts available to management and clients
Internal individuals, groups, and Senior CIBC management and executives
Peers at financial organizations, industry associations, outside vendors, research groups, and specialized analysts/consultants
CIBC wide scope across various line’s of business representing different products and partner areas including Amicus, Consumer Deposits, Cards, National Risk Monitoring, Fraud Loss Prevention and Investigations, Mortgages and Lending, all the channels (TB, ABM, POS, Mobile, OLB, and OTC)
Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, interpretation, and assessment

Advanced Analytics Consultant Resume Examples & Samples

An advanced degree, or directly relevant experience in a quantitative discipline, such as social science, operations research, econometrics, statistics, or MBA
Minimum 5 years of relevant experience
Proven experience with the consumer marketing application of data mining, statistics, analytical methods and tools, techniques and algorithms
Proven ability to effectively communicate results of quantitative methods to a broad audience, including senior leadership
Proven ability to work independently as well as on a project team
Experience with SAS or similar statistical tool
Experience with unstructured data analysis
Experience with tools and methodologies specific to big data
Experience within database marketing or econometrics
Familiarity with patient level health-care data and/or clinical environments
Familiarity with relational databases, such as Oracle, MS SQL and Server

Customer / Data Analytics Consultant Resume Examples & Samples

At least 5 years experience in the definition, design and delivery of customer analytics or data-driven communication solutions
At least 5 years experience in Program Management /Roadmap /Governance
At least 5 years experience in Business Case Development & Value Realisation for customer analytic solutions
At least 5 years experience in one or more of the leading solutions for analytical marketing, including Unica, SAS Customer Intelligence, Teradata TCRM, Oracle Siebel Marketing or Chordiant
At least 5 years experience in Business Process Re-Engineering/Business Process Information Enablement
At least 5 years experience in Functional Expertise/Industry Expertise
At least 5 years experience in Demonstrated experience in facilitating workshops and core consulting skills
At least 5 years experience in Demonstrated knowledge of and experience with business processes, System Development Life Cycle and best practices of quality management

Provider Data Analytics Consultant Resume Examples & Samples

Lead collaborative teams to improve provider data processes and systems that support critical member/provider interactions hundreds of thousands of times each day
Help Humana implement a new contract management system for the entire organization, to improve the accuracy/efficiency of provider operations and the ability to understand and report on Humana’s hundreds of thousands of contractual relationships
Participate in the entire software development lifecycle on multiple projects simultaneously, in collaboration with IT, to support Humana’s strategic road map for providers
Develop prototypes of new algorithms and processes related to provider data in various forms: contractual, financial, demographics and more
Perform ad hoc and complex data analysis to support Humana’s contracting efforts across the country
Expertise with large volumes of data, and relational databases (SQL)
Expertise with data analysis tools such as SAS, SPSS, R, or similar
Ability to leverage large amounts of data to create insights and actionable information
Proficiency in explaining complex data to non-technical and technical audiences
Bachelor’s Degree in Business, Finance, Physics, Mathematics, Chemistry or a related field; or a minimum of 2 years’ relevant business experience

Market Performance & Analytics Consultant Resume Examples & Samples

7+ years working within the Business Intelligence/Market Research function
Strong understanding of sub-national secondary data from external sources
Demonstrated ability to work with internal activity data from CIM and Quantum
Excellent writing, presentation and project management skills
Ability to utilize statistical/data manipulation software such as SAS

Data Analytics Consultant Resume Examples & Samples

Support client engagement teams delivering professional services that focus on complex client business problems involving the acquisition, validation and analysis of data in electronic form
Confer with client management and personnel to identify business needs, making assessments through process based diagnostic analytics, decision support analytics and advanced analytics
Develop models, visualizations and algorithms that apply internal & external data to answer novel questions such as “What products or services should we develop? How do we become more efficient? What are our competitors doing?”
Use Analytics to gather and organize information to deliver business insight, improve business performance, and mitigate risks
Analyze data gathered using Enterprise Intelligence (EI) as a key enabler, and integrate analytics and business intelligence to provide solutions according to clients' organizational policies and IT environment
Build awareness and promote the value of data driven problem solving across the organization
Participate and managing important client engagement teams (involving 3-5 EY team members)
Depending on your experience level, managing projects independently from blueprint to go-live by applying project management techniques as well as technical and business knowledge to ensure that high-quality results are obtained for all our clients
Collaborate with other members of the engagement team to plan the engagement and develop work programs, timelines, benefits management and other planning documents
Review reports and document findings to present to the team to help prepare recommendations for the client
Develop a high degree of product knowledge with the eagerness to learn other solutions
Actively share product and technical knowledge within the team

Forensic Data Analytics Consultant Resume Examples & Samples

Deliver projects such as searching for evidence of fraud and abuse within a company's finance system, or looking for hidden patterns within the global payments of a bank accused of money laundering
Much of their work centres on the analysis of large volumes of electronic data. Speed of response is often critical to clients, so they are constantly innovating and drawing on the very latest technologies
Consulting with clients on business issues, often explaining complex technical concepts to non-technical people
Building relationships with clients and senior members of the team
Drafting reports and presentations to explain our findings to clients

Provider Attribution Analytics Consultant Resume Examples & Samples

Develop and maintain provider attribution models to drive consumer engagement in Humana’s clinical, rewards, and network activities
Develop models & methodologies to predict, quantify, and/or forecast various business/health metrics
Provide expertise and assistance in implementing model results in ongoing business processes
Create customized reports with a team of analysts
Lead Ad Hoc study design, measurement, analysis, and reporting
Aid in the development and implementation of strategies and standardized processes across clinical analytics
Partner with architects, subject matter experts, and data owners to design optimal data and analytic business models
Building and maintaining analytic data sets within an Oracle or SQL or SAS environment
Working with large databases in a healthcare environment
Performing analytics, software and/or application development, testing, database management and/or data warehousing
Application development in Qlikview or SAS, including creating tables and extracting data
Reporting results and findings to leadership, and presenting and communicating results using PowerPoint
Producing business and technical documentation or training materials
Working in an Agile or Waterfall environment
Translating clients’ needs and goals into solvable research questions, spatial and statistical problems, and designing solution strategies and effectively communicating them to team members; and
ArcGIS

Provider Attributions Analytics Consultant Resume Examples & Samples

Assist in Ad Hoc study design, measurement, analysis, and reporting
Master’s Degree in Mathematics, Engineering, Information Technology, Computer Science or related field; and two years of related experience
Required experience must include 2 years of experience in the following areas

Senior Analytics Consultant Resume Examples & Samples

Proficiency acquiring, organizing, cleansing and manipulating large amounts of data
Demonstrated experience performing exploratory and quantitative analysis
Knowledge of statistical methods, forecasting and modeling
Two plus years experience with SAS and SQL coding
Demonstrated problem-solving and decision-making skills
Proven experience with and strong understanding of advanced analytic methods
Bachelor's degree in a quantitative field or equivalent

Business Intelligence & Data Analytics Consultant Resume Examples & Samples

3-5 years relevant work experience
Big Data and Pre Sales experience
Experience of large RDMS (SQL, Oracle, DB2, Sybase or Teradata),
Data Modeling and, preferably, ETL design experience
Strong SQL and scripting skills and a strong understanding of the business,
Client facing experience is advantageous,
Certifications in common BI tools are preferred,
Financial Services experience is preferred but not essential,
A Degree from a leading university is preferred but not essential,
Excellent English and Cantonese

Big Data Analytics Consultant Resume Examples & Samples

Understanding the business unit's real business needs and ensuring the big data team aligns its work accordingly
Develop a broad understanding of the activities and priorities of the business units you work with
Work in close cooperation with business unit staff on individual projects and problems
Tailor our detailed approach and service to the needs and capabilities of each business unit and project
Work with Analytics Domain Leaders and other team members to effectively target our overall analytic activity on areas of maximum benefit
Ensuring the business unit can see the benefit of big data analytics and how best to realise its benefits
Articulating in business language the 'art of the possible' to encourage businesses to use predictive analytics and big data solutions to commercial advantage
Identifying opportunities where big data analytics could be valuable and exploring these with business unit staff
Translating business needs effectively into analytic problems, and their solutions into actionable implementation plans for the business
Apply a mix of commercial insight and data / analytical expertise to define the right problem and solve it well
Liaise between business unit staff and our analytics team to optimise communications among the team
Contribute to thought leadership, and demonstrate personal excellence in the business application of advanced analytics techniques
Degree qualification in a mathematical, statistical or other numerical discipline. MBA preferred
Experience in a business consulting firm or similar environment
Sound business judgement and a pragmatic approach to analysis
The ability to network, work collaboratively and win the trust of peers and senior leaders
Exceptional influencing and relationship management skills
Ability to deliver results in tight timeframe with appropriate balance of quality and speed
Previous experience operating in high performing teams with mixed skill sets
Best practice communication skills for technical and non-technical audiences Senior Executives, analytics groups and other data analytics experts
Large-scale big data, machine learning, predictive analytics implementation, ideally in a Telco
Creativity / tenacity to develop / implement solutions to complex business analytic problems
Change management experience
Commercial judgement to prioritise high impact issues that face the business
IT systems experience would be a plus

Senior Analytics Consultant Resume Examples & Samples

Develops workforce scorecards and conducts monthly/quarterly business reviews to help clients assess the health of their function/business and stay on top of key trends
Independently conducts analyses to determine metrics that have the largest impact on the business, identify optimal targets, evaluate the effectiveness of HR investments and priorities, and determine strengths and opportunities within client organization
5 years of experience in a consulting or corporate environment running standard to advanced analyses (e.g., trends/forecasting, key driver analysis, different types of regression, ANOVA, linkage research). Knowledge/demonstrated ability to conduct all types of multivariate analyses (e.g., hierarchical linear modeling, path analysis, SEM and cluster analysis, etc.)
4-5 years of experience consulting with senior leaders to define problem, determine appropriate data and analytics to address the problem, and present results
4-5 years of experience in a consulting or corporate environment developing and implementing metrics/scorecards
2-3 years of experience in a consulting or corporate environment running ROI analyses using financial metrics (e.g., sales, profit growth, revenue, and EPS)
M.A./Ph.D. in a quantitative/statistical program (e.g., Industrial/Organizational Psychology); may substitute with commensurate work experience, demonstrated aptitude for data/analytics, and ability to quickly learn and apply advanced statistics
Advanced knowledge of statistical analysis and research design methodology required including trends/forecasting, key driver analysis, different types of regression, ANOVA, linkage research. Knowledge/demonstrated ability to conduct all types of multivariate analyses (e.g., hierarchical linear modeling, path analysis, SEM and cluster analysis, etc.)
SPSS knowledge and experience required. Experience writing SPSS syntax a plus
Strong skills in Microsoft Word, Excel, and PowerPoint.

Analytics Consultant, Decision Engines Resume Examples & Samples

Two plus years software development experience
Two plus years with Python, R, or Matlab
Two plus years with SQL (on a variety of database platforms)
Basic knowledge of algorithms and data structures
Experience working with complex and large volumes of data
Excellent problem-solving, design, development, and debugging skills
Capability to develop creative solutions to complex technical problems
Demonstrated ability to structure and conduct analyses to generate insights and recommendations
Ability to adapt to rapidly changing business environment and managing multiple priorities
Demonstrated strong written and verbal communication skills to technical and non-technical audiences
Demonstrated ability to prioritize tasks and remain in sync with team plan
Four plus years software software development experience
Two plus years in Python
Two plus years in SAS and SAS Macro Language
Experience with front end technologies (HTML, CSS, JavaScript, Shiny Ui, jQuery)
Experience with visualization concepts and libraries
Experience with marketing and sales, pricing, or revenue management analytics
Master’s degree in Computer Science, Engineering, or Mathematics or equivalent

Analytics Consultant Resume Examples & Samples

Developing, validating, and maintaining (credit) risk models (scorecards, PD, LGD, EAD, etc.) according to department policy, methodology and Basel regulation to ensure compliance of models and modeling processes, including required documentation
Developing and maintaining department policies, methodologies, and corresponding documentation
Ensuring correct implementation of models into DLL’s risk infrastructure systems by translating policies and models into technical requirements, testing and reporting on the results
Participating in IT related projects focusing on improving and further implementing DLL’s global risk infrastructure
Performing quantitative analysis to optimize DLL’s automated credit scoring environment, incorporating both profitability and risk measures
Developing data queries to prepare recurring as well as adhoc reporting, ensuring high data quality and accurate information to support the department, global risk, and other stakeholders

Analytics Consultant Resume Examples & Samples

Supporting the development and maintenance of (credit) risk models (PD, LGD, EAD) according to department policy and Basel regulation to ensure Basel compliance of models and modeling processes, including required documentation
Identifying drivers of risk costs and estimating the expected losses for different customer segments. Executing other business analyses to identify and manage both risks and opportunities to improve business performance
Understanding business needs and translating these into analytical requirements and models. Developing recommendations based on analysis performed and effectively communicating these both written and verbally to the business

Senior Data Analytics Consultant Expressions of Interest Resume Examples & Samples

Hadoop
Teradata
Google Web Analytics

Senior Channel Analytics Consultant Resume Examples & Samples

Develop analytics leading to opportunity based sales models across channels, branches, and positions
Provide in-depth analytical support leading to the creation of staffing models across channels (sales, tellers, contact center, etc.)
Conduct thorough post-mortem analytics of all models to continually monitor/improve going forward
Develop actionable insights for branch, contact center, and digital sales performance resulting in revenue growth and/or efficiency gains
Develop sales performance management tools & ad-hoc analysis for sales leadership team
Coduct analysis of sales performance management tools leading to recommendations that drive increased sales productivity
Develop reporting materials that allow business leaders to most effectively manage their business
Provide Ad Hoc reporting & analytics as required by Client Insights/Segment Strategist(s), such as Small Business and Workplace Banking programs
Design metrics and administer complex analyses to evaluate the effectiveness of decisions. Provide querying expertise necessary to extract information for data analysis
Bachelor’s Degree (Engineering, Finance, Statistics, or other analytically related discipline)
5+ years of analytical experience in consulting, business or related field; Prior experience in goal setting/performance management preferred
Excellent quantitative, analytical and problem solving skills. Knowledge of statistical techniques and data mining concepts and approaches. Experience in applying statistical analysis (regression, decision trees, experimental design) to solve real world problems
Results oriented, self-starter with ability to work independently and manage multiple projects and priorities
Proven proficiency in MS Excel and PowerPoint
Database querying and programming experience (SAS/SQL)
Strong project management skills with proven ability to lead projects end to end
Strong written and oral communication skills. Ability to communicate findings of complex analyses in a clear and concise manner to business partners

Junior Data Analytics Consultant Resume Examples & Samples

Apply statistical or machine learning techniques design and development of processes meant to operationalize derived analytical models into business applications
Participate in the design, acquisition and completion of large EI transformation projects
Engage with financial services clients and identify new business opportunities driven by an innovative quantitative, data and analytics approach
Support transformation processes towards a data centric culture
Work closely together with colleagues from our Performance Improvement practice in the domains of risk management and customer intelligence

Senior Digital Analytics Consultant Resume Examples & Samples

Working with client stakeholders to identify site objectives and key performance indicators (KPIs)
Designing web analytics implementations, including documentation of variables, account configuration, and data collection mechanisms/code
Testing and debugging implementations of web-analytics solutions using a variety of tools such as scanners and packet sniffers as well as an understanding of JavaScript
Developing and presenting digital marketing, SEO and user experience analysis reports, typically in PowerPoint, focused on improving usability, effectiveness and conversion on client sites
Coordinate company and client resources to efficiently manage digital analytics and SEO projects
Strong analytical thinker, with demonstrated ability to seamlessly pivot between high-level, strategic activities and detailed, quantitative analytical tasks
4+ years of web analytics experience using one or more industry-leading analytics platforms (e.g. Google Analytics, Adobe SiteCatalyst, Webtrends, IBM Web Analytics)
Working knowledge of web analytics implementation and configuration practices
Proven ability to create and present insightful analysis and data visualizations
Knowledge of basic SEO best practices
Solid communication skills (written & presentation), with experience presenting to broad audiences in person and remote
HTML, JavaScript, CSS – basic knowledge
Advanced SEO knowledge
Relevant Industry/Product Certifications (WAA Certified Analyst, Adobe Analytics ACE, etc)
Experience with R, Tableau, SPSS, or other statistical analysis packages
Experience with A/B and multivariate testing principles and tools (Adobe Target, Optimizely)
Experience with tag management solutions (Adobe DTM, Tableau, Ensighten, Google Tag Manager)
Experience with digital marketing optimization (display, retargeting, SEM)
Degree in a Quantitative discipline

Senior Analytics Consultant Resume Examples & Samples

Designs, develops and enhances analytical models based on business requirements and client needs (3 models under current development)
Maintains first-hand knowledge about all of the analytical models including an in-depth understanding of the mechanics of how each model is built and works (VBA coding, VLOOKUP, pivot tables, linking and consolidating data, conditional formatting, advanced charting, working with formulas that manipulate text, etc.)
Proactively identifies ways to automate functionality of analytical tools
Facilitates communication and issue resolution between offices across WNA and the Mumbai Center team in regards to the analytical models supported by Mumbai
Builds relationships and collaborates effectively with offices and clients for existing analytical models in place today through training, answering questions and general support
Supports other National Practice groups as needed in special projects requiring MS Excel based development work such as Benchmarking, RFP Models, Client Service Plans, etc

Analytics Consultant, Quality Analytics Resume Examples & Samples

2+ years prior experience analyzing data with a proven ability to synthesize quantitative results, derive business implications and make clear recommendations
Prior analytical experience with Medicare, Medicaid and/or other healthcare data
Exposure to established industry standards for measuring healthcare quality: HEDIS, CAHPS, HOS, and other quality metrics

Data Analytics Consultant Resume Examples & Samples

Collaborate with others within the practice to determine analytics needs for projects
Plan, develop and perform routine analytics procedures to identify unusual trends, patterns and relationships in transactional, attribute-based and unstructured data sets
Design data-driven solutions and models to solve client issues
Work with disparate data sets from multiple client systems to develop comprehensive analytical models
Design and build client-facing deliverables within data analysis and data visualization software
Experience with some of the following software packages

Big Data & Analytics Consultant Resume Examples & Samples

Defining and driving the strategy and roadmap for Big Data Analytics business and solutions for Ericsson
Working with cross-functional teams to align “Go-To-Market” goals and tactics across the CSI Organization
Working with clients to develop a vision for Big Data and Analytics
Pre-sales support of Sales teams to promote and position Analytics solutions as well as contributing to customer commercial proposals
Engaging clients, capturing business requirements and translating to technical requirements
Leading the development of technical solutions and taking accountability of technical validity of the solutions including, testing, installation and integration
Providing leadership, and direction during the full software development lifecycle
Managing solutions with multi-vendor Big Data and Analytics products for all types of service providers including wireless, wire-line, cable, or utilities
Responding to RFIs and RFPs, and ensuring quality and consistency of scope, and cost estimates
Driving Proof-of-Concepts and demo’s
Establishing a solid relationship with clients aimed at increasing Ericsson credibility as the primary partner for delivering Big Data Analytics programs
Finding new business opportunities based on expanding existing customer solutions as well as creating new ones
BS or MS in Computer Science, or Computer Engineering or acceptable equivalent
The ideal candidate will have Consulting experience
Over 15 years of IT experience designing and integrating EDW and Business Intelligence solutions. Over 3 Years working with Big Data and Analytics solutions
Proven experience in linking customer business drivers to successful Business Intelligence solutions
Knowledge and experience with Hadoop/Map Reduce
Skills in SQL scripting and coding and familiarity with relational databases
Knowledge of multivariate regression, time series models, cluster analysis, and logistic regression
Understanding of Predictive Analytics and Statistical Methods
Experience with Business Intelligence and Data Warehouse design including ETL processes and tools. (e.g. Informatica, Pervasive)
Strong experience with data warehouse platforms (e.g. Oracle, Greenplum, Netezza, Teradata)
Experience with Business Intelligence and Analytics platforms (Guavus, SAS, IBM Cognos, MicroStrategy)
Working knowledge of Pig, Hive, HBase or other NoSQL tools
Experience with reporting dashboard products (e.g. Tableau)
Ability to communicate and articulate value propositions at customer C-Level
Have the technical expertise to be recognized by the operator as an authority figure in Big Data Analytics
Knowledge of market insight and competitor intelligence
Exceptional Customer Orientation and Consultative Skills
Exceptional Communication skills (Presentation, Interpersonal and Influencing Skill)
Excellent oral and written English skills
Ability to lead and motivate others and work in a team environment
Problem Solving Ability and Creative Thinking
Teamwork and collaboration skills
LI-VB1

Forensic Data Analytics Consultant Resume Examples & Samples

Exposure to database management software, stats and machine learning software and link analysis/data visualization software, big data platforms (e.g. Hadoop, Hana)
Experience in data collection and load, data QA, data cleansing and enhancing, data transformation, relationship profiling, sampling and extrapolation, segmentation, modelling, segmentation, structured data mining and text mining. Exposure to ETL tools such as Informatica, SSIS, or scripting languages would be beneficial
Strong knowledge of SQL and relational databases, as well as knowledge of predictive modelling technologies such as SAS Enterprise Miner, SPSS, SQL Server 2005 DMX etc
Exposure to data from accounting systems application such as SAP, Oracle / PeopleSoft, JD Edwards, MFG Pro, Extensity etc

Analytics Consultant Senior, PRO Operations Resume Examples & Samples

Provides thought leadership and custom quantitative analytics on program evaluation and change initiatives, developing research designs and quantifiably evaluating program/project success
Initiates and leads strategic research projects; responsible for creating hypotheses, develop research design and analytics plans, running standard to advanced (e.g., modeling) analytics, and providing predictive decision metrics to leaders
Independently manages all phases of complex research/analytics projects, and delivers presentations to executive-level clients
Responds to ad hoc analytics requests from clients by asking key questions to accurately assess the problem, influencing clients to focus on the “right” data/metrics, running analyses, and delivering results and providing insights to client
Creates and delivers results in formats ranging from standard reporting to executive-level presentations by synthesizing technical information in a way that is easy to follow and clearly demonstrates how the results inform the business
Coaches clients on how to appropriately interpret and use analyses/metrics to make strategic decisions and further inform the business
Consulting or corporate environment running standard to advanced analyses (3-5 years)
Consulting with senior leaders to define problem, determine appropriate data and analytics to address the problem, and present results. (3-5 years)
Consulting or corporate environment developing and implementing metrics/scorecards (3-5 years)
Consulting or corporate environment running ROI analyses using financial metrics (e.g., sales, profit growth, revenue, and EPS) (2-3 years)
Advanced knowledge of statistical analysis and research design methodology required including trends/forecasting, key driver analysis, different types of regression, linkage research. Knowledge/demonstrated ability to conduct all types of multivariate analyses
Ability to function independently in business or organizational environments, effectively delivering consulting services and presentations and influencing senior leaders
Strong project management, decision-making, detail orientation, problem solving, and organizational skills
Financial data understanding / business acumen (e.g., P+L) required

Analytics Consultant Resume Examples & Samples

3+ years of experience in the financial / banking industry with at least 2 years in (credit) risk modeling
Master’s Degree in Econometrics, Actuarial Science, Statistics, Mathematics, or other quantitative discipline
Demonstrated experience with mathematics/statistics as it is applied in the financial industry
Experience with extracting data from various databases and analyzing large data sets for conversion into useful business information
Strong analytical skills and demonstrated aptitude for data
Experience in executing quantitative analyses using statistical programs (SPSS) and reporting using standard database query language (Hyperion / SQL)
Programming skills a plus

Finance Analytics Consultant Resume Examples & Samples

Bachelor’s Degree in Finance, Economics, Engineering, Statistics, Computer Science, Mathematics or a related field
Experience in SAS or comparable programming experience
Prior experience analyzing data with a proven ability to synthesize quantitative results, derive business implications and make clear recommendations
Comprehensive knowledge of Microsoft Office applications, including Excel, PowerPoint & Word
Strong problem solving and reasoning skills
Prior analytical experience with Medicare and/or other healthcare data
Predictive Modeling Experience

Analytics Consultant, Predictive Modeling Resume Examples & Samples

Develop software and code to extract information from various data source, especially unstructured data, to enable Humana strategy and overall clinical portfolio
Develop tools and processes to enable seamless integration of new data with other enterprise data sources (such as claims, demographics) to predict, quantify, and/or forecast various business/health metrics
Prototype quick and creative solutions to facilitate efficient decision making
Ensure and maintain software quality and reliability
Collaborate with IT, operations and business teams to implement analytic products within ongoing business processes
Identify and recommend new software tools and capabilities that will maximize analytic output and conclusions
Ensure full and clear documentation of all processes
Master’s Degree in Computer Science, Engineering or a related field
2+ years of experience with Big data analytics
Proficient in programming languages such as Java and Python
Experience with using Hadoop platform and related tools
Comprehensive knowledge of all Microsoft Office applications
Experience with developing or using text analytics tools to extract relevant information from large data sets and/or the analysis of unstructured healthcare data
Experience with tools such as Hive, Pig and Mahout
Experience with SAS, SQL, and Netezza

Microsoft Analytics Consultant Resume Examples & Samples

Expertise in delivering new and complex high quality Analytics solutions to clients in response to varying business requirements
Familiarity with Microsoft Analytics Software Development Lifecycle and methodologies
Ability to educate clients to the features and capabilities of PowerBI, Analytics Platform System (APS) and other Microsoft Analytics products (SQL Server Integration Services-SSIS, SQL Server Reporting Services-SSRS)
Utilizes in-depth knowledge of the latest Analytics functionality and technology in conjunction with industry and business skills to influence functional strategy
Configures, develops and delivers Analytics solutions utilizing “out of the box” PowerBI composites techniques
Configures and develops high quality PowerBI, APS and other Microsoft Analytics products (SSIS and SSRS) utilizing Microsoft best practice approaches
Familiarity with agile methodology and its application to Analytics Implementations
Familiarity with PowerBI/Office 365, APS and SSIS/SSRS deployment options
At least 2 years experience in configuration and development of PowerBI or Analytics Platform System (APS)
At least 2 years experience in configuration of Microsoft Analytics Sequel Server Integration Services (SSIS) or Sequel Server Reporting Services (SSRS)
At least 2 years experience in extending Analytics solutions with other Microsoft technologies and tools such as custom development SharePoint solutions, ASP.net, VB, .Net, C#
At least 3 years experience in basic knowledge of Microsoft Analytics solutions
Basic knowledge of PowerBI, APS, SSIS or SSRS Certifications
At least 5 years experience in configuration and development of PowerBI or Analytics Platform System (APS)
At least 5 years experience in configuration of Microsoft Analytics Sequel Server Integration Services (SSIS) or Sequel Server Reporting Services (SSRS)
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#
At least 5 years experience in basic knowledge of Microsoft Analytics solutions
At least 1 year of experience in PowerBI, APS, SSIS or SSRS Certifications

Analytics Consultant Resume Examples & Samples

Bachelor’s Degree in Finance, Accounting, Mathematics or a related field
2 -3 years of experience performing data analytics
Knowledge of and experience with SQL; writing queries, including joins
Ability to analyze financial, clinical and operational data and determine program status and impact to short and long-term program goals
Demonstrated strategic thinking as well as roll up your sleeves action
Generates insights through thought leadership. Leverages business intelligence, data, insights, and other research to drive differential value and expand our capability to compete. Identifies gaps in processes or organization and challenges self and others to develop implement solutions
Willingness to manage and prioritize diverse projects
Previous exposure to Actuarial pricing, finance or network contracting

Senior Analytics Consultant Resume Examples & Samples

Strategy consulting experience
Analytical problem solving experience
Technology industry experience
Quantitative data analysis
Analytical modeling
Ability to develop/analyze business cases
Research skills
Interviewing skills
Ability to support and enable teamwork

Analytics Consultant Resume Examples & Samples

Design and develop relational database environments, database models, and ETL processes across a variety of platforms using SQL Server Integration Services, Python, and .NET
Consult with business partners in a way they understand to solve complex business problems
SQL query authoring and database optimization
Establish architectural principles, design patterns, best practices, and mentor team members on their appropriate application
Design user interfaces, dashboards and other GUI components using web based technology
Develop and maintain all application tiers, back-end server through web front-end
Potential for advanced data analytics work
Minimum of a BS degree in computer science, engineering, or other major requiring engineering core courses
Strong experience and knowledge of designing and developing relational database environments, database models, and ETL processes; particularly MS SQL Server with an understanding of design for scalability, performance, and reliability
Experience with one or more development languages (i.e. Java, Python, C#)
Excellent communications and interpersonal skills; ability to work with business partners as well as other members of the technical staff
Experience with other relational databases such as Oracle, DB2, MySQL, etc
Demonstrated ability to mentor others to maintain architectural vision and quality

Provider Intelligence Analytics Consultant Resume Examples & Samples

Knowledge of applications that process millions of records
Understanding of science/mathematics behind regressions, algorithms, etc. used to synthesize data and make decisions
Familiarity with Python, SAS, SQL, SPSS or similar statistical tools
Experience with relational databases, such as Oracle, DB2, T- SQL, etc.
PhD in a quantitative discipline
Knowledge of medical claims language
Knowledge of econometrics or epidemiology
Experience with health-care data

Experienced Big Data & Analytics Consultant Resume Examples & Samples

Thorough understanding of the capabilities of commercial Apache Hadoop distributions such as e.g. IBM, Hortonworks, Cloudera, or MapR and their integration options with traditional data warehousing and BI tools (such as e.g. Teradata, IBM DB2 / Netezza / DataStage / Cognos, Informatica, Ab Initio)
Substantial expertise in Advanced Analytics technologies & solutions (incl. SPSS, SAS, R, Tableau, Qlikview)
More than 10 years experience in solutioning, designing, estimating, planning and managing Big Data implementation projects
Strong communication skills and business acumen, including experience in presenting complex information to senior decision makers in a compelling way
Dedicated industry experience in one of the following industry clusters: Financial Services (Banking or Insurance), Distribution (Consumer Products or Pharma & Life Sciences), Industrial (Energy & Utilities or Manufacturing)

Analytics Consultant Resume Examples & Samples

Master’s Degree in Engineering, Statistics, Mathematics, Public Health, Computer Science, Operations Research, Health Administration, Economics or other technical or healthcare related field
2+ years' experience analyzing data with a proven ability to synthesize quantitative results, derive business implications and make clear recommendations
Significant prior experience working with one or more of the following statistical, database or data visualization tools, such as SAS, QlikView, Tableau, SQL, PL/SQL, MS Access, R, Python, or SPSS
Strong written and verbal communication. Strong problem solving and reasoning skills
Excellent PC skills (including MS Word, Excel and Access)
General understanding of the healthcare environment and policy developments such as the Affordable Care Act, and Medicaid or Medicare

Digital Analytics Consultant Resume Examples & Samples

Domain expertise
E-Commerce
Web analytics
Web/email marketing
SaaS software implementation
Cross-domain expertise
Architecting software solutions - preferably SaaS products
Product/programme management - preferably in a SaaS environment
HTML and the Document Object Model
HTTPYes

Snr Data Analytics Consultant Resume Examples & Samples

Business analysis, technical analysis, data analysis experience
Agile / hybrid project experience
Documentation skills and technical understanding
Strong organisation and planning skills
Experience of all phases of software development (including requirements analysis, design, coding, testing, defect management
Previous experience in business intelligence, data warehousing or advanced analytics projects

Advanced Analytics Consultant Resume Examples & Samples

Collecting requirements, prerequisites, and co-requisites for the SPSS product platform. Knowledge in component modeling and operational modeling
Collecting non-functional requirements like customer's data volume and throughput requirements, availability, security and bring them into the greater customer context
Conduct component modeling and operational modeling for the SPSS product family, often in the context of a customer analytical environment
Use, develop and enhance best practice operational modeling for the SPSS (and wider Business Analytics) product portfolio
Implement SPSS enterprise scale platform by designing, implementing and installing SPSS product portfolio
Analyzes, installs, acquires, modifies, and supports SPSS applications
Configures system settings and options; plans and executes unit, integration, and acceptance testing; and creates specifications for systems to meet business requirements
Design and develop operating mechanism to build and run SPSS enterprise platform(s)

Analytics Consultant Resume Examples & Samples

Master’s degree or equivalent in Actuarial Science, Computer Science, Mathematics, Statistics, Biostatistics, Epidemiology, Engineering, Public Health, Biology, Biomedical Sciences or related fields
Experience working with complex datasets
Excellent PC skills (including MS Word, and Excel)
Prior experience working with SQL, PL/SQL, and/or SAS

Analytics Consultant, Predictive Modeling Resume Examples & Samples

Experience working with Excel, SAS and SQL
Exposure to large-scale clinical or healthcare data
Desire to learn complex predictive modeling, analytics consultation, and/or in depth clinical or outcomes based analytics

Customer Analytics Consultant Resume Examples & Samples

Advanced Analytics tools (e.g. SPSS, R, SAS)
Social Media Analytics tools
BI tools (e.g. Cognos, QlikView, Tableau)
Campaign Management tools (e.g. Unica)

Analytics Consultant Resume Examples & Samples

Master’s Degree in Mathematics/Statistics, Business, Finance, or Engineering
Demonstrated programming experience with relational databases, including Access, SQL Server and Oracle and/or any programming language (C/C++/C#/VB/Java),
2+ years' experience managing relationships with cross-functional stakeholders, ability to influence leadership based on analytical findings
Excel proficiency (pivot tables, advanced excel functions)
2_+ years' experience with data manipulation and visualization
Strong business communication skills
Able to question, explore, devise conclusions/recommendations and communicate them effectively to achieve strategic outcomes
3-6 years’ work experience in an Analytical focused role working with large data sets
Prior experience in the health solutions industry, with specific experience in provider performance analysis, medical claims, and episodes of care
Experience with SAS, QlikView, or graphic design

Digital Analytics Consultant Resume Examples & Samples

Running, updating and building intuitive, analytically driven reports using online web-analytics solutions as well Excel
Developing and presenting web site analysis and SEO projects, typically in PowerPoint, focused on improving usability, effectiveness and conversion on client sites
Coordinate company and client resources to efficiently manage web analytics and SEO projects
Strong analytical thinker, with demonstrated ability to seamlessly pivot between high-level, strategic activities and
Detailed, quantitative analytical tasks
3+ years of web analytics experience using one or more industry-leading analytics platforms (e.g. Google Analytics, Adobe Analytics, Webtrends, Coremetrics)
Knowledge of basic SEO and digital marketing best practices required
Bachelor’s degree or equivalent practical experience required
Ability to travel up to 25% as required
JavaScript – basic knowledge
Degree in a quantitative discipline, and/or advanced degree

Analytics Consultant Resume Examples & Samples

Master’s Degree in Math, Computer Sciences, Statistics, Engineering, Management Information System or a related field
Visualization Experience using BI Tools such as Advanced Excel, QlikView or Tableau to design and create reporting dashboards and portals
2+ years’ experience completing data mining, manipulation, cleaning and technical analysis
Experience using various technical and analytical tools to manipulate data
Ability to work independently and efficiently to manage multiple competing projects and initiatives
Strong verbal and written communication with a proactive approach to sharing information and solving problems
Experience collaborating with peers and providing analytical support to a team
Ability to translate analytical information into key insights
Experience with statistical methods and visualization techniques

Data / Analytics Consultant Resume Examples & Samples

Exposure to data / data environments / databases / large data sets
Strong problem solver, someone unhappy with the status quo
An interest in coding with possible experience with R, matlab, SAS, SQL or Python (academic experience included)
Data visualisation experience- tableau, spotfire, qlik etc

Advanced Analytics Weather Predictive Analytics Consultant Resume Examples & Samples

5+ years of predictive analytics experience, including expert level with SPSS,
1+ year with Weather analytics, with experience with Weather APIs
At least 2 years experience professional consulting
Weather prediction experience

Analytics Consultant Resume Examples & Samples

Model actuarial and clinical assumptions and their impact to pharmacy network pricing
Perform deep-dive analysis and report on pricing impacts to retail, mail, and specialty pharmacy performance
Communicate high level summary results to company leadership
Develop processes and documentation to support best practices
Participate in pricing strategy development and review of competitive information
Bachelor Degree in Accounting, Finance, Computer Information Systems, Mathematics, Statistics, or other quantitative focus
Proficient knowledge of Base SAS programming
The ability to work on multiple projects with tight deadlines and multiple customers
Strong problem-solving and analytical skills
Candidates should possess the ability to take initiative, work independently, and exercise appropriate business judgment
Ability to determine accuracy of data and reasonableness of results and to identify and resolve errors
Ability to manage ambiguity in performing ad-hoc analysis for key business partners
Ability to suggest creative methods to enhance the effectiveness of processes and procedures
Strong computer skills including Excel and SQL
Master Degree with quantitative focus
Base SAS or Advanced SAS programmer certification
Prior exposure to Project Management Institute concepts
Familiar with pharmacy benefit management processes or organizations
Prior work history in a clinical, pharmacy, or related setting

Digital Analytics Consultant Resume Examples & Samples

At least 3 months of experience analyzing and interpreting data, drawing conclusions and presenting the information
At least 3 months of experience evaluating customer requirements, developing requirements document, creating analytical models, and presenting results to clients
At least 6 months of experience analyzing and interpreting data, drawing conclusions and presenting the information
At least 6 months of experience evaluating customer requirements, developing requirements document, creating analytical models, and presenting results to clients

Successfactors Senior Workforce Analytics Consultant Resume Examples & Samples

Strong expertise in Online Report Designer
Proficient knowledge of XML
Experience implementing SuccessFactors Employee Central or strong understanding of data model of Employee Central

Analytics Consultant Resume Examples & Samples

Develop and maintain a suite of predictive analytics to drive consumer engagement in Humana’s clinical activities
Develop statistical models & methodologies to predict, quantify, and/or forecast various business/health metrics
Identify and recommend new data sources that will maximize analytic output and Create customized reports with a team of analysts
Master’s Degree in Math, Statistics, Engineering or a related field
Prior statistics experience
Experience using modeling tools such as SAS and/or SPSS
Proven ability with data mining and/or predictive modeling techniques
Proven ability to effectively communicate results of statistical models to broad audience, including senior leadership
PhD Degree in Math, Statistics, Engineering or a related field
Experience with health care data, including Medicare/Medicaid
Experience with SAS Enterprise Miner
Advanced experience with statistical analyses and modeling techniques including propensity score matching, multivariate statistical modeling, and neural networks
Experience with large data sets and/or the analysis of patient-level healthcare data

Heor Analytics Consultant Resume Examples & Samples

Master’s degree or equivalent in Public Health, Epidemiology, Experimental Psychology, Statistics, Biostatistics, Biomedical Sciences, Biology, Actuarial Science, Computer Science, Mathematics, Engineering, , or related fields
Strong knowledge of SAS
Strong Public Health Background
2 years of experience performing clinical data analytics
Experience working with complex and very large datasets
Excellent Excel skills, including pivot tables and other advanced aspects
Ability to present technical, analytical and/or clinical information to a wide variety of audiences
PhD
Knowledge of statistical methods and tools
Prior experience in a healthcare / insurance environment
Familiarity with Quality Improvement Initiatives such as HEDIS
Expertise in data mining, forecasting, simulation, and/or predictive modeling
Prior experience working with Qlikview

Predictive Analytics Consultant Resume Examples & Samples

This position is in the GBS World Wide Advanced Analytics iCoC. Consultants in this organization work with clients worldwide to address their analytical challenges
Mathematical optimization using SPSS, ILOG CPLEX and other tools. Includes linear programming, mixed-integer programming,
At least 3 year experience
At least 4 year experience

Cognitive Analytics Consultant Resume Examples & Samples

Experience in working with Natural Language Processing / Semantic Technologies / Information Retrieval or Machine Learning tools
Experience in conducting analytics on unstructured data sources
Experience in devising IT architectures

Data & Analytics Consultant Resume Examples & Samples

Data Quality & Governance
Data Management & Integration
Experience of implementing data governance principles, policies, processes and procedures
Business Analysis skills and experience of documenting functional and non-function requirements
Data modelling skills with experience of using formal notation such as UML and Entity-Relationship models
Data Analysis skills in the areas of data content and data structure analysis
Business, operational and technical metadata experience
Data profiling,data quality requirements analysis and data remediation experience
Data quality measurement solution delivery
Operational and analytical data implementation experience
Master data management and reference data experience
Data integration experience, both real-time and batch Exposure to industry standard ETL tools such as Informatica, Ab Initio, DataStage, SAS DataFlux and Oracle Data Integrator
Data Architecture and Information Lifecycle Management (ILM) frameworks and practices
Project/programme management or audit/compliance methodologies
Exposure to industry standard ETL tools such as Informatica, Ab Initio, DataStage, SAS DataFlux, Talend and Oracle Data Integrator
Financial services industry knowledge, from an internal, consulting or change delivery perspective
Relevant technology and/or management qualifications highly advantageous e.g.CIMP,TOGAF, ISEB, PRINCE 2, PMI

Data / Analytics Consultant Resume Examples & Samples

Meeting with a prospective client to learn about their business problems
Helping build a prototype for a client project
Analysing a massive data set
Running a workshop to gather information
Extract data from various systems for project
Prepare a dashboard or data visualisation for a clients
An interest in coding with possible experience with R, Matlab, SAS, SQL or Python (academic experience included)
Data visualisation experience- Tableau, Spotfire, Qlikview etc

Enterprise Intelligence & Analytics Consultant Resume Examples & Samples

Strong academic background, including a Bachelor’s or Master’s degree in Computer, Mathematical or Industrial Engineering, Management Information Systems or equivalent from an accredited university
Approximately 5 years’ of Advisory work experience
Professional accountancy qualification or equivalent
Proficiency with data management, business intelligence and analytical software (such as IBM, Informatica, Microstrategy, SAP, SAS etc.)
Ability to analyze functional and technical needs and identify gaps and alternative solutions relative to existing design
Good project management skills, operating as part of a team organizing, planning, and executing large scale projects from vision through implementation
Strong verbal and written communications skills, with an ability to express complex business concepts in technical terms
Strong analytical, problem solving, communication and conceptual skills
No travel restrictions

Senior Mkt Info Consultant Cp-home Loan Analytics Consultant Resume Examples & Samples

Bachelor's degree required with strong quantitative background in Marketing, Statistics, Mathematics, or Economics a plus
3+ years of analytics experience in support of a product, channel or segment with ad hoc analytics as primary output
5+ years experience displaying solid working knowledge of SQL
Demonstrated data skills with large data stores, comfortable navigating and connecting disparate data sources
Strong demonstrated ability to interpret large amounts of data
Experience in using multiple data sources to produce single analysis
Experience with relational databases, design of experiments, and regression analysis
Knowledge of consumer lending products
Ability to organize and prioritize own work to meet deadlines and milestones
Strong proficiency in MS Excel and Power Point
Knowledge of home equity lending products' P&L
Advanced degree in business or statistics
5+ years customer analysis experience
Knowledge of and experience with BAC data, "W", CCBR, THOR, PAM and more

Digital Analytics Consultant Resume Examples & Samples

Outstanding presentation and writing skills
Must be comfortable interacting with manager level personnel of Fortune 500 companies
Excellent teaching skills
Must be comfortable in assisting clients to learn how to use Coremetrics applications
Outstanding problem solving skills and attention to detail
Must be able to think creatively about issues to find a resolution
The ability to learn quickly (You will have to become a Coremetrics expert in a short amount of time)
The ability to multi-task and willingness to excel and take on new responsibilities – enthusiastic about what we do and working as a team to excel
Existing Web Analytics (2 years), email marketing (>1 year), online marketing or other relveant experience (2 years)

GBS Consulting By Degrees Analytics Consultant Resume Examples & Samples

Reside within a reasonable commuting distance (generally 20 miles or less) of one of the following cities: Boston (MA), Chicago (IL), Columbus (OH)
Limited opportunities are available in the following geographies: Atlanta (GA), Philadelphia (PA), New York (NY) and metro area, San Francisco (CA), and Washington (DC) and metro area
Reside within a reasonable commuting distance (generally 20 miles or less) of one of the following cities: Atlanta (GA), Boston (MA), Chicago (IL), Columbus (OH), Philadelphia (PA), New York (NY) and metro area, San Francisco (CA), and Washington (DC) and metro area

Senior Data Analytics Consultant Resume Examples & Samples

Participation in General IT control, IT risk assessment and advisory projects
Assessments of clients’ IT governance, organization, processes and control environment
As part of the Advisory team delivery of IT projects for multinational clients across various sectors in domains such as IT governance, ERP systems and IT project management
Participating in data analytics or data integrity projects
Assessing and analyzing data flow between IT systems
Testing and processing data sets, recalculating system outputs
Developing test cases with statistics applied
Preparing scripts and queries, automating standard tests
Analyzing output of data processing and identifying deficiencies, as well as providing recommendations for improvement
Support of business development activities
At least 3-4 years experience in programming, software development, data mining or data visualization, big data, data warehousing
Advanced knowledge of databases, SQL, Visual Basic or additional programing languages
Fluent English and Hungarian - both oral and written

Advisory Analytics Consultant Resume Examples & Samples

Computer Science
Management Information Systems
Mathematics
Statistics
Economics
Engineering disciplines
SAS Analytic Tools– BaseSAS, Enterprise Guide, Enterprise Miner, Visual Analytics, Decision Manager, SAS Administration Tools
Data Visualization Tools - QlikView, Tableau, etc
Statistical Analysis – Regression, ANOVA, Correlation, Time Series, etc
Algorithms - Self Organizing Maps, Neural Networks, Decision Trees, Naïve Bayes, etc
Social Network Analysis – network metrics, ontologies, visualization
Text Analytics – text clustering, concept extraction, sentiment analysis
Microsoft Visual Basic .Net
Microsoft ASP .Net
IBM – SPSS, i2 Analyst’s Notebook, COGNOS, etc
Tibco – Spotfire, BusinessEvents, etc
Palantir
Oracle – SQL Developer, Business Intelligence
Hadoop or other parallel, distributed file system technologies
OLAP tools
SQL, Transact SQL, PL\SQL
The ability to describe complex technical concepts and ideas to in non-technical terms
Proficiency with Microsoft Excel, Access, Word, and PowerPoint
Must be flexible with work schedule and travel requirements of client service projects
Experience in a professional services firm preferred
CPA, CFE, MBA, ASA and/or CFA is a plus

Senior Analytics Consultant Resume Examples & Samples

Develops presentations derived from workforce analyses and insights to help clients assess the current state, areas for improvement and key trends
Independently conducts analyses to diagnose opportunities for the business, identify goals, evaluate the effectiveness of business investments and priorities, and understand strengths and gaps within client organization
Provides custom quantitative analytics on workforce measures and other analyses, developing research designs and quantifiably evaluating change and progress
Initiates and leads strategic research projects; responsible for developing and testing hypotheses; designing and running standard to advanced (e.g., modeling) analytics that provide predictive decision metrics to leaders
5 years of experience in a consulting or corporate environment running standard to advanced analyses (e.g., trends/forecasting, key driver analysis, different types of regression, ANOVA, adverse impact analysis). Knowledge/demonstrated ability to conduct all types of multivariate analyses (e.g., hierarchical linear modeling, path analysis, SEM and cluster analysis, etc.)
4-5 years of experience consulting with leaders to identify problems, determine appropriate data and analytics to address the problems, and present results
Preferred experience working with attorney privileged analyses and governmental regulation-driven analyses, particularly as related to the Office of Federal Contract Compliance Programs
M.A./Ph.D. in a quantitative/statistical program (e.g., Industrial/Organizational Psychology)
Strong skills in Microsoft Word, Excel, and PowerPoint

Director, Data & Analytics Consultant Resume Examples & Samples

Assess, capture, and translate complex business issues and requirements into a structured analytics use case, including rapid learning of industry/domain/client dynamics and development of effective work stream plans
Lead multiple client and innovation analytics projects of different varieties including strategy, advanced modeling, and big data architectures, providing full oversight of engagement structure, team management, and deliverables for teams comprising data science, big data, and visualization experts
Direct analytics solution build using a variety of big data technologies and analytics tools as required by the client, and create robust documentation of solutions and underlying design decisions and operating procedures
Minimum of ten years of data analytics and management experience with a professional services firm, an internal strategy/analytics group, or similar environment
Proficiency with directing use of sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, Alteryx, SQL, HiveQL) and visualization platforms such as Tableau, Qlikview, PowerBI, or JavaScript

Manager, Data & Analytics Consultant Resume Examples & Samples

Build analytics solutions using variety of big data technologies and analytics tools as required by the client, and create robust documentation of solutions and underlying design decisions and operating procedures
Track, communicate, and manage project risks, budget, rates, profitability, and launch/closeout activities, including the administration of work papers and collaboration sites
Proactively broaden and deepen client relationships by working with senior-level clients
Minimum of eight years of data analytics experience with a professional services firm, an internal strategy/analytics group, or similar environment
Demonstrated analytics solution design and build expertise, project and team management skills, strong business consulting acumen in applying advanced analytics to solve business issues, and knowledge of business operational, process, delivery, and revenue models
Strong communication skills with the ability to explain technical concepts and analytics-driven findings to business people potentially including C-level executives, and to explain business processes, concepts, challenges, and issues to technical resources

Senior Analytics Consultant Resume Examples & Samples

business development supportincluding client presentations and pitches
Project based client ownership
Creating dataand analytics strategies
Developing analytics, data and BI concepts
Project management of data explorations / audits, prototype development and solution implementation jointly with the subject matter experts
Being the linkbetween the Data Lab team and the client
Ensuring alignment of business/client/market requirements in regard to the DDA positioning
Being a though leader in the data driven space
Driving successful, analytics consultancy and solutions, by

Senior Data Analytics Consultant Resume Examples & Samples

Develop excellent professional oral and written communication skills in order to establish working relationships with client personnel
Exhibit a professional, business-like demeanor
Build and broaden industry knowledge to support organization and function initiatives by taking advantage of our AERS Learning curriculum of eLearning modules and local and national training programs
Demonstrate leadership and provide guidance to ERS interns
Search for meaningful patterns, trends, and relationships by sifting through large amounts of data and explain the findings to people with varying backgrounds
Documenting code logic and procedures performed
Preparing executive level presentation to facilitate discussion of analysis
Develop solutions and recommendations for improving data integrity issues
Develop and code business rules to support risk based analysis and/or risk based modeling
Contribute to a strong client relationship through interactions with client personnel
Assume supervisory responsibility for components of engagements
Contribute to engagement planning and ensure that deliverables meet work plan objectives and quality standards
Recognize and communicate opportunities to sell "add-on" work

Senior Marketing Analytics Consultant Resume Examples & Samples

Lead the annual retention forecasting process that provides insight into opportunities, key accounts, projection of revenue and variable expenses
Create and maintain reporting for Digital management that provides insight into retirement and executive benefit plan & participant products & programs
Perform ongoing analysis of programs or campaigns that take place within retirement and share insight with retirement senior management and other business partners
Develop predictive retirement income models and segmentation that optimizes results for particpants
Perform exploratory analysis/data mining to identify or support opportunities to improve revenue and/or profitability
Perform analysis in support of market sizing new opportunities or potential risks
Responsible for recommending and designing tracking methodologies
Participate in cross functional projects associated with new marketing initiatives
Provide support for ad hoc analytic and reporting requests
Conduct quantitative research and recommend areas for the ecommerce team to focus on to improve the web experience for participants, plans sponsor, advisor, etc

Senior Analytics Consultant Resume Examples & Samples

Managing the model risk management EPS+ deliverables including writing & updating policies and methodologies, ensuring high quality model development documentation, performing required reporting and liaising with Rabobank N.A. model risk management
Responsible for Analytic support for DLL’s Americas countries including model, methodology, and tool development and validation
Managing and coaching the three members in the Analytics team in Wayne. Acting as resident expert on analytic/quantitative modeling techniques
Developing and maintaining (credit) risk models (scorecards, PD, LGD, EAD, etc.) according to department policy, methodology and Basel regulation ensuring compliance of models and modeling processes, including required documentation
Ensuring correct implementation of models into DLL’s risk infrastructure systems by translating policies and models into technical requirements and testing the results
Understanding business needs and translating these into analytical requirements and models. Developing recommendations based on analysis performed and effectively communicating these both written and verbally to senior management
Developing and maintaining models for stress testing that will play an integral role in providing an integrated view of the risks and how those risks evolve across different macroeconomic environments
Staying up to date on industry trends in modelling methods and techniques, implementing best practices, and ensuring continuous innovation and process improvement in the team
MS degree in Econometrics, Actuarial Science, Statistics, Mathematics, or other quantitative discipline. PhD a plus
8+ years of experience in the financial / banking industry with at least 7 years in credit risk, market risk and/or liquidity risk modeling
Experience with implementing or enhancing model risk management framework compliant with EPS / SR-11-7 and interacting with US bank regulators
Experience with credit risk modeling PD/LGD/EAD. Experience with DFAST / CCAR stress testing a plus
Advanced Excel / VBA skills
Experience in executing quantitative analyses using statistical programs (SPSS, R, SAS) and reporting using standard database query language (Hyperion / SQL). Strong Programming skills
Quality driven and results oriented
Highly analytical and enjoying problem-solving
An excellent communicator, both written and verbal
Detail oriented and well-organized
Able to work independently and in teams to meet deadlines
Able to travel abroad when required

Analytics Consultant Resume Examples & Samples

Design and develop state-of-the-art, data-driven exploratory analysis as well as predictive and decision models to solve business problems across different industries including auto, financial, retail, insurance
Build and evaluate predictive and decision models to be deployed in production systems
This includes the analysis of large amounts of historical data, determining suitability for modelling, data clean-up and filtering, pattern identification and variable creation, selection of sampling criteria and performance definition, and variable selection, and experiments with different types of algorithms and models, analysing performance, to identify the best algorithms to employ
Provide consulting services to clients in EMEA on a range of analytics-based services through the customer life cycle
Providing a full end-to-end consultancy service over multiple concurrent projects including the provision of general consultancy to support clients in their implementation, monitoring and on-going use of the delivered scores / models
A graduate, with a mathematical or Operational Research degree (or a degree with a high level of quantitative, statistical or Operational Research content) or equivalent experience. An MSc or PhD would be desirable
Experience with predictive model developments
Strong statistical, data processing and analytical skills
Knowledge of: Scoring technology and methodologies; Model development techniques and tools; Advanced statistical methods and quantitative analysis; Statistical tools and programs such as FICO Model Builder, SAS, SPSS; Familiarity with Java and/or C++ or other similar object oriented programming language
Ability to interpret data, identify trends and through analysis draw conclusions
Experience and knowledge in one or more of: Regulatory analytics (Basel II/III, IFRS9), Decision Optimisation or Pricing Optimisation solutions, Xpress optimization software and Mosel language coding
Fluency in English and another European language is advantageous, to support delivery into a non-English speaking country (e.g. French, Spanish, Italian, German, Russian)

Analytics Consultant Resume Examples & Samples

Consult with clients on methods for maximizing profit through the optimization of data, models, and analytics
Participate in the design, development, implementation and use of custom and generic analytical solutions
Work closely with Analytical Services fulfillment departments to manage modeling and analytical projects
Design, conduct, and publish relevant research based on client needs
Evaluate client needs and develop and present superior solutions
Develop strategic partnerships at the C-Level
Manage multiple clients and projects at one time

Digital Analytics Consultant Resume Examples & Samples

Establish, analyze and refine key performance indicators (KPIs) by working in conjunction with business stakeholders from across Manulife’s Canadian Division
Develop effective tagging strategies to enable efficient data management and analysis throughout all Canadian division wide digital properties
This individual will often be assigned to large projects within Canadian Division and must use existing variable maps to ensure the consistent, cohesive implementation of analytics tools across all digital properties
The successful candidate will have had experience working with Content Management Systems and the automation of eVar population based on predefined parameters. Experience conveying clear tagging specifications to members of the IS department will ensure success in this role
Work with team members from across the organization to establish baseline metrics and optimization methods for online marketing campaigns, including PPC and RTB campaigns
Become an internal champion and thought leader for leveraging web analytics to drive tactical decisions and provide insights to team members to foster a cultural of continual optimization
Distill data from sources such as Google Analytics, Adobe Analytics, etc. to provide compelling business insights
Ensure the continual evolution of the web analytics platform by working closely with members of the Digital Channel Strategy and Product Development teams
Undergraduate degree in Economics, Business or Computer Science
Intermediate JavaScript, HTML, and computer programming concepts
An experience using tag-based analytics tools such as Adobe (formerly Omniture) Site Catalyst or google analytics would be a plus
Experience directing the implementation of a web analytics platform, including the provision of detailed variable requirements to an IT team to ensure the proper collection of data elements
Understanding of data tag management techniques, including the ability to use real-time tagging to segment marketing initiatives and audiences on-demand and without the continual requirement of IT/IS resources
Strong communication skills across disciplines and the ability to clearly present digital analytics solution, context and implications to business partners
Strong organizational skills and the ability to multi-task while managing expectations of numerous stakeholders
Ability to work in a collaborative environment

Senior Data Analytics Consultant Resume Examples & Samples

Lead the analytical project planning with audit teams to establish scope and deliverables, particularly for research and data collection tasks
Collaborate with IT and Business Unit application users to understand the data structure, availability and accessibility
Extract, transform and load relevant data and data files from various applications and databases
Evaluate the appropriateness of data sources for quality and accuracy
Perform or consult audit teams on data validation, consolidation and cleansing processes
Perform complex data analytics to evaluate controls and business objectives Analytics should be designed to identify outliers, anomalies, patterns, or other compliance indicators that may be hidden in the data
Develop data delivery processes for both structured and unstructured data types utilizing various internal and external data sources; interface with data experts & data sourcing resources
Develop detailed business and system knowledge within supported areas. Document business, system, and data knowledge to help build a robust knowledge-base for future efforts
Train and support audit teams in the analysis of captured data as well as technical training to auditors across all levels
Automate processes to increase turnaround time on data availability and increase efficiencies in the audit process
Build & maintain effective working relationships with business and IT teams across the organization
Bachelor's Degree in a technical (statistics, math, etc.) or business discipline or equivalent technical expertise
5+ years business experience including data analytics/data management/programming experience
Significant experience with data gathering, storing, and retrieval methods
Competency in data analysis
Expertise in programming languages and databases: SQL server, Python, VBA, Advanced Excel, Access
Experience with web scrapping, and statistical tools R or SAS Experience with statistical techniques (e.g., regression analysis, cluster analysis, and decision trees)
Experience with visualization tools such as Tableau or Qlikview and writing procedural logic such as script development
Experience with other BI and ETL tools an advantage
Insurance or Financial Services industry experience preferred

Business Analytics Consultant Resume Examples & Samples

Knowledge of technologies, techniques and practices for the evaluation of business performance data; ability to analyze business performance using advanced statistical methods to justify and drive future business planning decisions
Knowledge of techniques, roles, and responsibilities in providing technical or business guidance to clients, both internal and external; ability to apply this knowledge appropriately to diverse situations
Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of organizational problems and create alternative solutions that resolve the problems in the best interest of the business

Business Analytics Consultant Senior Resume Examples & Samples

Tableau (Expert)
Base SAS, SAS EG
Knowledge of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions, and ability to leverage that information in creating customized customer solutions
Knowledge, insight, and understanding of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business; ability to apply this knowledge appropriately to diverse situations
Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors
Knowledge of and ability to design, apply and evaluate new information technologies for business environments in order to improve work productivity and accuracy

Business Analytics Consultant Senior Resume Examples & Samples

Overall management of assigned eGRC business solution
Preparation, management and coordination of business solution implementation schedule and work plan
Partner with applicable line of business staff, Technology/MIS and eGRC PMO to ensure successful launch of eGRC business solution
Act as relationship manager to applicable line of business leadership and staff during implementation
Prepare and present project status to applicable parties including but not limited to key stakeholders and eGRC PMO project team
Identify, document, and manage remediation of issues and/or risks that arise during the project lifecycle

Analytics Consultant Resume Examples & Samples

Bachelor’s Degree or work experience that coincides with the role requirements
Demonstrated experience with relational databases (e.g. Oracle or SQL Server )
Working knowledge of ad-hoc query tools and data repositories that support data extraction and manipulation
Experience working with data in analytical systems – SQL
Demonstrated experience, in a business setting, working with large data sets
Comprehensive knowledge of all Microsoft Office applications, including Word, Excel, Access and Power Point
Technical documentation abilities
SAS, Qlikview, OBIEE and/or other reporting tool experience

Customer Analytics Consultant Resume Examples & Samples

Identify key trends that arise from the analysis of customer data and work with other areas in CVM to ensure they are planned into BAU activity where appropriate
Create, develop and implement data analysis tools including design, databases, spreadsheets and outputs
Develop, own and maintain standard CRM analytical models
Coordination and development of statistical models including response, attrition, profitability, cross sell and customer value models
Evaluation of contact strategy results
Develop standard and non-standard MI for enhancements to customer experience, increased sales, retention, deepening of customer relationship and channel optimization
The increased use of sophisticated marketing techniques such as predictive modeling by financial service providers require the job holder to be proactive in managing and protecting our existing high value customer base and seeking to acquire new targeted customers on an ongoing basis. Targeted marketing programs are more successful in improving return on investments in allocating marketing dollars to highest potential prospects and markets
The position has a key role in supporting growth of RBWM/CMB business, responsible for management of all customer analysis used to drive customer sales activity and customer initiatives across RBWM/CMB channels
The jobholder is a critical member of the CRM & Analytics team and works closely with range of stakeholders across the organization to facilities database use, marketing research and development of effective marketing programs
The role develops and implements new marketing approaches that rely heavily upon quantitative and statistical modelling, which is unfamiliar to many business managers and marketing professionals
The jobholder needs to be flexible in technical areas to ensure necessary customer, product and transaction data is accessed, housed and reported as necessary and also provide consultative breadth to ensure business units use market research optimally
This position supports multiple business units with differing objectives, target markets and database integrity
The jobholder requires critical thinking, problem solving , analytical and communication skills
On a day to day basis, prioritization of requests decisions are exercised through the role holder
Day-to-day internal working relationships are with
Business units – ensuring controls are in place, adequate and protect the business, tracking and remediation of issues
Internal areas – ensuring proper communication and providing input into changes, initiatives, and acting as the business representative for RBWM
Regular external working relationships are with
Vendors
Consulting firms
Market Research Firms
Minimum of 7 to 10 years proven and progressive database marketing, direct mail and/or research experience or equivalent, including strong familiarity with database analysis, statistical techniques, market research and competitive intelligence research
Strong PC literacy, specifically MS Excel, MS Access, MS Powerpoint
Extensive Base SAS experience
Proven knowledge of data analysis tools and techniques
Proven track record with relational databases and research data tools (Business Objects and Epiphany are core programs used, similar programs provide useful background)
Strong knowledge of statistical research and analytical methodologies
Detail oriented with demonstrated analytical skills and proven ability to meet deadlines
Demonstrated ability in managing a multitude of projects and requests of varying degrees of complexity
Strong knowledge of the customer service concept and its impact on customer relationships
Proven track record of communicating effectively within the organization and with customer groups
Knowledge of the organization and its products, processes and pertinent regulations affecting their delivery
A comprehensive understanding of the banking, regulatory environment, industry trends and the competitive market as well as systems and technology
Demonstrated ability to rapidly build relationships with key stakeholders
Excellent working knowledge of business and product management principles
Ability to accurately evaluate information and present recommendations based on facts
Proven ability of managing to plan and achieve results
Wide knowledge of policies, procedures, and risk management frameworks
Bachelor’s degree in marketing, business, related field or equivalent experience. Masters degree in business, statistics, social science, related field or equivalent experience preferred
Excellent management, project management, organizational, analytical , technical, planning and decision-making skills
Excellent interpersonal, presentation, written and verbal communication skills
Ability to work in a team-oriented environment and effectively communicate across various business lines at different levels within the organization
Understand the RBWM strategy and collaborate with the business to accomplish this strategy
Demonstrated business knowledge
Sound understanding of the customer segments and the competitive market
Understand and interpret complex business and risk requirements

Data Analytics Consultant Resume Examples & Samples

Predictive financial modeling is done by comparing a provider's current contracted rates against future / proposed rates to analyze the expected change in reimbursement
Communicate your analytical results to the contracting team and support them throughout contract negotiations
BS/BA degree in Mathematics, Statistics, or related field
2-4 years experience in broad-based analytical, managed care payor or provider environment
Education and/or experience in statistical analysis and modeling
3-5 years’ experience in broad-based analytical, managed care payor or provider environment
Experience in statistical analysis and healthcare modeling
Requires BS/BA degree in Mathematics, Statistics, or related field
Minimum of 5 years experience in broad-based analytical, managed care payor or provider environment
Considerable experience in statistical analysis and healthcare modeling
Experienced pulling data using querying tools
Understanding of model rate
Advanced MS Excel skills are critical in this role to include Pivot Tables and the ability to take a data set and manipulate it to present the data that makes sense
SQL is desired
Data extract/program is desired
Access experience is desired

OE Data Management & Analytics Consultant Resume Examples & Samples

Takes lead responsibility for meeting the data and information needs of the OE Department
Works closely with OE staff and project teams to identify, extract and make available data and information that support performance improvement projects. Examples include
Extracting, transforming and uploading of large volumes of custom and syndicated data from disparate sources into concise and precise structure
Verifying data capture and quality, data transformation rules, database system procedures and documentation – Create a Data Management & Data Quality Plan that assures accuracy and “one version of the truth” data for dashboard reporting and advanced analytics
Assist Organizational Excellence team colleagues as well as Lean Six Sigma project team leaders in determining data source, transformation and access needs
Develop new data management procedures and tools that can be effectively deployed across projects
Research and maintain databases through the blending of 3rd party and client data stores-utilities
Supports project teams and their members to accomplish work in an efficient, quality focused manner so as to contribute positively to the achievement of departmental and health system goals
Able to provide documentation to Information Technology colleagues of system needs/functionality in order to meet the operational goals
Is departmental expert on key CCHS databases and sources of information (i.e., Data Warehouse, Power Insight, University HealthSystem Consortium)
Researches innovative methodologies to address data needs of the department. Brings best practice in to the team to improve display and analysis of data
Plans work to be done in concert with the needs of CCHS leadership. Develops, maintains and revises work plans as appropriate to the work. Monitors outcomes. Integrates work with all other departmental initiatives and revises as needed. Anticipates needs of customers and addresses these appropriately
Supports meetings as necessary - prepares meeting materials and ensures appropriate communications before, during and after the meeting
Monitors, tracks and reports operational performance in key areas (productivity, resource utilization and supplies)
Prepares, analyzes and presents detailed clinical utilization, financial and other information to support the work (utilization rates, staffing levels, volume analysis, cost analysis). Performs relevant benchmarking as appropriate to the work. Develops presentations of the information that inform audiences in a clear, accurate manner
Experience (2+ years) managing large volumes of data in a SQL Server environment – Experience with SSIS, SSRS, and strong knowledge of creating SQL and MySQL scripts, as well as Excel Macros
Experience with data access requirements for client dashboard reporting, preferably with working knowledge of some dashboard reporting platforms, such as Tableau, MicroStrategy or DOMO
Experience working with Analysts in research, reporting and modeling environments that leverage tools, such as, R, RapidMiner, Minitab, SAS or SPSS
Proven problem-solving, communications and interpersonal skills
Ability to handle multiple assignment and meet tight deadlines
Bachelor degree in computer science, data management or engineering – Masters is preferred
An equivalent combination of education and experience may be substituted
Ability to facilitate a team to defined outcomes in a timely manner. Ability to lead through influence
Ability to handle various tasks simultaneously

IT DT Analytics Consultant Resume Examples & Samples

Positions in this function use advanced statistical and inferential analysis programs to provide specialized data analysis
Organizes, sorts and filters data in order to distinguish patterns and recognize trends
Develops and maintains data preparation and validation routines to support data mining and has experience in creating complex data mining algorithms
Selects, recommends and applies appropriate analytic and statistical methodologies and techniques to execute against an analysis plan or research objectives
Evaluates new analytics tools and methodologies for possible deployment
Creates data warehouses/marts and/or develops data mining analyses to support business decisions
5+ years of IT Experience
3+ years of experience with Data Analytics
Experience with SQL, Access, or other programming Languages
Experience analyzing and documenting business requirements (front-end and back-end)
Experience with analyzing business intelligence requirements (e.g., standard/ad hoc reporting, dashboards, scorecards, visualization, analytics)
Identify and analyze applicable source data (e.g., internal/external data feeds, systems, databases, "sources of truth")
Obtain appropriate data source approvals/sign-offs as needed
Document functional designs based on business requirements
Assess data management requirements (e.g., governance, archiving, metadata, master data, data modeling, data quality)
Identify, develop and document testing strategies and success factors
Review, analyze and update project estimates, timelines, dependencies and deliverables to ensure achievement of project goals
Identify and investigate new data warehousing strategies to meet emerging business needs
Design data flow (e.g., data acquisition, formatting, dependencies)
Design data models (e.g., relational/dimensional, logical/physical, new subject areas)
Collaborate with business partners to ensure data standardization (e.g., enterprise standards)
Design/define data validation rules and transformation logic (e.g., ETL)
Architect/design data management processes and capabilities (e.g., governance, archiving, metadata, master data, data modeling, data quality)
Previous Healthcare Experience
Experience with Data Warehousing or Data Marts

Digital Analytics Consultant Resume Examples & Samples

4+ years of hands-on experience with web analytics tools such as Coremetrics, WebTrends, Omniture, Google Analytics, etc
Experience working with digital data and utilizing measurement techniques to optimize web behavior, including user experience optimization, campaign analysis, and customer segmentation
Experience in measuring social media and mobile efforts
Experience in measuring the success of SEM/PPC, SEO and Online Campaigns
Ability to interact with all levels of end users and technical resources
Analytical, data driven personality. Results oriented
Strong communication, presentation, project management and critical thinking skills
Strong collaborative/relationship-building
Ability to multi-task and manage competing priorities
Self-motivated, comfortable leading initiatives where ambiguity exists
Working knowledge of statistical methods and tools, Tableau, SQL, SAS, Qlikview
Expert at Excel; proficient with other MS Office products
Bachelor’s degree in business related field, or quantitative field; advanced degree preferred
Experience in a highly complex, multi-stakeholder industry (such as healthcare/insurance, financial services or travel)
Experience in Wellness and/or Healthcare
Experience building relationships and working with team members in other locations

Data Analytics Consultant Resume Examples & Samples

Experience with interrogating data using advanced data science, statistical, and mathematics techniques
Experience with manipulating data sets to uncover trends and extract insights
Experience with reading, writing, and speaking English
Ability to present data in creative and visually compelling ways to communicate findings
Ability to excel in a team-first and highly collaborative environment to meet deadlines
Ability to both teach others and learn new techniques
BA or BS degree in CS, Applied Statistics or Mathematics, Physics, or EE
Experience with relevant open source frameworks, including top-level Apache projects, such as Hadoop, YARN, Spark, Storm, Kafka, Elastic Search, Accumulo, or HBase
Experience with languages and tools for data science development, including Python, Scala, R, SQL, AngularJS, or SAS
Experience with Big Data development, specifically in the areas of machine learning and NLP
MS degree preferred; PhD degree a plus

Analytics Consultant Resume Examples & Samples

Assess and influence Humana’s healthcare quality operations, strategies and tactics using in-depth analytics and knowledge of healthcare industry and healthcare data
Work closely with partners in the Healthcare Services Organization, Humana’s Medicare markets and other corporate functions to understand the specific needs of those partners and organizations and develop clinical quality analyses, metrics and tools that meet those needs to deliver the right behavior and interventions for our members and providers
Develop subject matter expertise in the latest quality metrics for the Medicare and Medicaid programs and serve as a consulting resource for the clinical analytic needs of partners across the enterprise
Blend big, fascinating, and messy data (structured and unstructured) to measure Humana’s performance and provide competitive intelligence on the healthcare industry
Use industry leading database systems, clinical decision engines and algorithms to extract meaningful insights about the business and what influences quality performance
Examine and communicate trends to senior leaders regarding: Effectiveness of Care, Pharmacy Safety, Consumer Perception, and Service & Operations
Performing data analytics using SAS, SQL, PL/SQL
Working with large, complex datasets
Presenting key findings to leadership, peers, and business stakeholders
MS Word, PowerPoint and Excel
Data processing and data mining
Working on ad hoc requests for analytics
Outcomes analysis; and
Statistical methodologies and tools, including performing data mining, forecasting, simulation, and/or predictive modeling

Workforce Analytics Consultant Resume Examples & Samples

Partners with senior consultants, brainstorming and determining the analytic approach and appropriate project plan for prospects (proposals) and clients
Lead with clients in resolving data issues that have arisen during review of submitted client data; serve as the day to day technical contact to address issues or discrepancies with data
Act as an expert advisor in the design of data structures using SAS – programming and making decisions about the appropriate SAS procedures to utilize
Perform advanced statistical analysis, including regression modeling and additional statistical tests using SAS or R
Indirectly manage junior staff including peer review and oversight of data structures being built by junior analysts
Lead the design of new tools/protocols for future use by annotating and generalizing SAS and R codes
BA /BS, preferably in quantitatively-oriented data science/statistics or relevant social science field (e.g., Economics); Preferred MA/MS or Ph.D
Demonstrable record of conducting complex empirical analyses
Deep statistical expertise, especially in multiple and logistic regression analysis, using SAS and/or R
Experience working with large data sets using SAS/base and SAS/stat
Self-direction and self-motivation (must be fully able to work without supervision)

100

Advisory Analytics Consultant Resume Examples & Samples

Responsible for manipulating large data files, then transforming the data into business information that helps agencies fulfill strategic objectives
Searching for meaningful patterns, trends, and relationships by sifting through large amounts of data and explain the findings to people with varying backgrounds
Documenting the logic behind software code developed and procedures performed
Contributing to the development of executive level presentations to facilitate discussion of analysis
Developing solutions and recommendations for improving data integrity issues
Developing and coding business rules to support risk based analysis and/or risk based modeling
Contributing to a strong client relationship through interactions with client personnel
Understanding an engagement as it relates to client's business
Contributing to engagement planning and ensuring that deliverables meet workplan objectives and quality standards
Contributing to business development opportunities under the direction of management
Previous Federal Consulting experience
Experience with one or more of the following data analytics tools: SQL, SPSS, R, Python, Hadoop, Visual Basic, Tableau, ACL, IDEA, and/or Alteryx
Experience with similar tools such as: Visual Basic, Tableau or MATLAB
Experience with Access and Excel programming languages such as VB and/or SQL to develop ad-hoc tools, queries and reports
Analytical ability to delve into detail while maintaining a broader business perspective on issues
Able to work in a fast paced environment that requires balancing competing priorities
Certifications in SAS, ACL, CISA, CISSP, CPA, CFA, PMP, FRM

101

Data Visualization & Analytics Consultant Resume Examples & Samples

Create Tableau-based BI solutions and required supporting architecture (e.g., data marts)
Lead and mentor Tableau developers in information presentation & delivery
Create functional & technical documentation related to Business Intelligence solutions

102

Business Intelligence & Analytics Consultant Resume Examples & Samples

Collaborate with clients and internal teams to define industry-leading analytics solutions for a wide variety of industries and business groups
Bring thought leadership and ensure best practices and standards of DW/BI solutions
Bachelor’s Degree in Computer Science, Information Technology, related field, or foreign degree equivalent
5+ years of experience with more than 1 data Integration tools such as Informatica, SSIS, Ab Initio
5+ years of experience with more than 1 database systems such as Oracle, SQL Server, Teradata, MySQL, DB2
Understanding of Master Data Management and Data Governance
Strong written/oral communication and presentation/interpersonal skills
Experience with massively paralleled systems such as Hadoop stack, Teradata, Exadata, etc
Experience with programming languages such as Java or Python
Knowledge of advanced data management & processing concepts such as partitioning, sharding, and compression

103

Consumer & Marketing Analytics Consultant Resume Examples & Samples

3+ years of consulting or industry experience
Hands-on experience with at least one analytic tool including SQL, SAS, SPSS R, Alteryx, Revolution Analytics, Python and RapidMiner
Experience with customer segmentation methods, survey design, marketing campaign optimization, marketing ROI analysis, digital analytics, direct marketing, customer lifetime value (CLV)
Understanding of big data concepts and technologies, including Spark, Cloudera, etc
Experience analyzing data through the application of statistics & mathematical models
Experience extracting and reporting data
Excellent problem solving skills & attention to detail
Ability to translate complex models into actionable business insights
Excellent communications and presentation skills; proficient in PowerPoint
Master’s degree in a Statistic/Quantitative discipline preferred, but not required

104

Business Intelligence & Analytics Consultant Resume Examples & Samples

Produce analytics using various analytics software (Tableau, QlikView, Excel, Spotfire, Microstrategy, etc.)
Work closely with clients in both IT and business, with an understanding and sensitivity toward of the diverse needs of each group
Understanding of Business Intelligence patterns (standard data modelling approaches, OLAP platforms, approaches to data presentation and consumption)
Expert-level proficiency with analytics development using common tools (e.g., Tableau, QlikView, Excel/PowerPivot, Spotfire, Microstrategy, etc.)
Consulting experience; experience estimating level of effort for analytics and data work, creating proposals, and managing workload
Demonstrated passion for analytics/BI and the ability to communicate its value as a strategic business advantage
Knowledge of relational and dimensional database structures, theories, principles, and practices

105

Data Analytics Consultant Resume Examples & Samples

Data manipulation - Demonstrated experience in manipulating, merging, and mining large and complex data sets (structured and unstructured) from diverse sources including relational databases, using SQL, Brio or other data query tool
Analytical techniques - Expertise in developing and applying advanced statistical methods and techniques including hypothesis testing, pattern discovery, regression, cluster analysis, forecasting, classification, and optimization
Ability to interpret analytical results to technical and non-technical audiences, including senior management. Be a consultant to client-facing engagement teams. This role will also interact directly with clients
Build scalable and reusable data mining solutions and capabilities that support our customers and large engagements
Contribute to predictive /analytical modeling standards, reporting, and data analysis methodologies
Develop and analyze analytical data sets, creating meaningful visualizations
3-5 years’ experience in working as an analytics consultant in a business setting, preferably in a B2B context
5+ years’ experience in working in relational databases and at least one business analytics or data visualization tool
A crisp and passionate communicator; highly developed interpersonal skills—someone who can be as effective through influence as through direct control
Proven verbal and written communication skills in Mandarin and English
Experience with Analytical laboratory equipment, and Agilent products, is not required but highly desirable

106

Analytics Consultant Resume Examples & Samples

Network within the areas you support to develop a sound understanding of their products, processes and challenges
Actively engage business leadership to identify key opportunities to apply analytics and pursue the most valuable of those opportunities
Translate business needs into analytics questions, then, translate analytics answers into business insight and effectively communicate findings to the appropriate individuals
Develop and support analytics solutions to enable decision-makers to address questions of an ongoing or repetitive nature
Understand Eastman’s data as well as relevant external data and bring it to bear on analytic questions
Work collaboratively with other members of the Data Science organization as well as embedded business analysts to ensure the analytics needs of Eastman are met
Both recent graduates and experienced candidates will be considered for this position

107

Business Analytics Consultant Senior Resume Examples & Samples

Strong programming ability in SAS and SQL
Excellent analytic and problem-solving skills
Outstanding ability to assemble and integrate data from various sources
Ability to test data and to turn data into actionable insight
Intellectual curiosity
Doctorate or Master’s degree in a quantitative discipline
An applicant who does not fully meet the qualification requirements stated above may be considered at a lower career level (i.e. Business Analytics Consultant or Reporting Analyst Sr.)

108

Manager, Data & Analytics Consultant Resume Examples & Samples

Proactively broaden and deepen client and internal relationships by working with senior-level clients and senior-level KPMG consulting partners
Minimum of eight years of data analytics and management experience with a professional services firm, an internal strategy/analytics group, or similar environment
Strong communication skills with the ability to explain technical concepts and analytics-driven findings to business people including C-level executives, and to explain business processes, concepts, challenges, and issues to technical resources

109

Decision Analytics Consultant Resume Examples & Samples

Conduct issue analysis and develop hypotheses on the key client issues
Design and execute qualitative or quantitative analyses to test hypotheses and improve client commercial effectiveness
Synthesize findings, develop recommendations and communicate results to clients and internal teams
Provide thought leadership and innovation within projects and practice areas

110

Analytics Consultant Resume Examples & Samples

Conduct analysis and present key findings based on scope of work and ongoing client analytical work
Understand key business questions/problems to solve as presented by Client/Project Sponsor/scope of work outline
Research background on client’s brand (internet, internal documentation, client Q&A, past analytics work); understand how the client’s assess their business, what their goals are, what their pain points are, what are the non-negotiable considerations relative to the given project
Proactively communicate and collaborate with Client as well as internal team to complete deliverables on time; establish timelines, communicate regularly with the internal teams; collaborate with all functional areas as needed: Data programming/loading, data scientists team, project sponsors, others as required
Provide guidance and framework for: POS data onboarding (new or existing clients), including table structure, product categorization, location table and other pertinent database parameters required
Direct the organization of supplemental data inputs - competitor pricing, marketing data, price elasticity, macroeconomic data and other as required
Gather information from multiple sources (internal and from client) that will help the team reconcile conflicts, track client performance; review flagged anomalies with team, troubleshoot data issues with team as needed
Prepare reports that portray trends, changes and overall financial implications of client initiatives in partnership with business analyst partners
Perform financial modeling including revenue/sales, costs, margin, traffic/transactions and rates of return; set up, maintain, adjust impact sheets and other tools needed to achieve project goals
Direct quantitative and qualitative analytics and research, leading to understanding of how to leverage findings to drive profitability for client
Ability to read and understand the outputs of analytical tools (Tableau standard reports, descriptive statistics on KPIs/products/purchase profile, pre/post analytics, price elasticity and pricing power outputs) to uncover factors influencing business trends using client data inputs and help provide guidance/analysis and recommendations for client reports
Lead internal team meetings on client work in progress, develop & deliver presentation to client alongside CAO
Become trusted by client, build relationships with internal cross functional teams
Educate the client on analytic methods, shape their thinking and influence the decisions they make
Demonstrate a flexible approach to communication; adapt messages quickly to the appropriate level or function with poise and polish
Strong C-level presence
Develop and maintain a deep understanding of customer needs and requirements
Help customers identify solutions to problems they did not know they had
Regularly and proactively communicate with the client-facing teams, including soliciting feedback to continually improving the relationship
Should the role include multiple client responsibilities: Successfully manage multiple deliverables or projects for multiple clients, Track and organize multiple work streams against multiple clients, and manage time and resources against changing priorities
Independent thinker, offer solutions for improving teamwork and processes
Demonstrated expertise in translating data and analysis into relevant insights and actions
A student of the big data phenomenon, well-versed in and enthusiastic about big data
Ability to “roll up sleeves” and get into data/models
Excellent verbal and written communication skills as well as the ability to interact professionally with a diverse group, executives, managers and subject matter experts
Restaurant industry experience desirable
Work well both independently and as part of a team, solicits feedback, asks question
Successfully engage in multiple initiatives simultaneously
Excellent written and verbal presentation skills
Good skills in Excel, Word, Powerpoint, Tableau a plus
Highly organized, self-directed and motivated
BS in Business, Economics, Operations Management; a focus in Hospitality and/or Restaurant Management and Operations a plus
Major Programs of Study Desired: Restaurant Operations, Business Administration or Statistics/Economics/Business/Quantitative Finance/ Operations Research or Management Science

111

Associate, Data & Analytics Consultant Resume Examples & Samples

Deliver client analytics project work stream through direct ownership of data ingestion, validation, mining, and engineering, as well as modeling, visualization, and client communication deliverables (on more advanced projects, will work with data science, big data, and visualization experts)
Support project leaders in tracking and communicating project risks, budget, rates, and launch/closeout activities, including the administration of work papers and collaboration sites
One year of data analytics experience with a professional services firm, in an internal strategy/analytics group, or in a similar environment (or internship experience if graduating with bachelor’s degree)
Bachelor’s degree in a technical or quantitative field from an accredited college or university (master’s or MBA degree preferred) with working knowledge of topics such as statistics, econometrics, machine learning, operations research, decision science, and cloud computing
Proficiency with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, Alteryx, SQL, HiveQL) and visualization platforms such as Tableau, Qlikview, PowerBI, or JavaScript

112

Statistica Senior Analytics Consultant Resume Examples & Samples

Apply scientific techniques to data evaluation, performing statistical inference and data mining
Document and present the data analysis and its conclusions for assessment by full-performance analysts, developers, and their managers
Develop analytic plans, engineer supporting algorithms, design and implement solutions which execute analytic plans
Combine information about the structure, syntax, and processing of data with the functions of gathering, organizing, and manipulating datasets in order to synthesize responses to customer information needs
Gather requirements for recommended or needed improvements
Conduct training at client sites for large audience

113

Analytics Consultant Resume Examples & Samples

1+ years' experience with building report/dashboards using PowerPivot for Excel
Experience in DAX and/or VB/Excel Macros
Experience as a business analyst or data analyst with analytical abilities
Engaged with business users to gather and prioritize requirements
Experience understanding and documenting business requirements

114

Enterprise Analytics Consultant Resume Examples & Samples

7-10 years work experience providing data services
Knowledge and experience with the data, technologies, and applications related to Enterprise Business Groups
Strong technical and business problem-solving skills. Able to analyze complex business problems and apply the necessary data and technology solutions
Solid understanding of logical data modeling and process modeling
Understanding of database design, master data, integration, and analytics concepts
Strong understanding of GxP Standards and Practices and Privacy requirements
Understanding of infrastructure technologies, including operating systems, storage, backup technologies, web hosting capabilities, etc

115

Junior Business Analytics Consultant Resume Examples & Samples

Engaging various business areas to evaluate potential opportunities for new or better business relationships
Identifying the right internal partners and analytical solutions that could answer the business’s problems
Demonstrating working knowledge of analytical solutions and being able to apply and communicate them with the business
Communicating clearly throughout the project process to all parties involved about scope, timeline, issues and any changes to them
Documenting all communications, processes, data and considerations involved in the project
Beginner/Intermediate skills in

116

Business Analytics Consultant Intern Resume Examples & Samples

Developing a strong, mutually beneficial relationship with the business stakeholders and internally within the QR&A department
Understanding the business needs of your partners and how potential analytical solutions will impact their business results
Drives project execution from ideation to delivery in an Agile project framework, with an emphasis on measurable, value add deliverables
Ability to perform quantitative measurements, ensuring projects deliver on their goals
Currently pursuing a Bachelor Degree: Business or Technical
Intermediate: Communication - both written and oral
Intermediate: Qualitative and Quantitative analytical skills
Beginner: Project Management Skills
Beginner/Intermediate: Process Development
Beginner/Intermediate: Experience in Insurance Operations and Rating Plans
Beginner/Intermediate: Microsoft Office Suite; specifically Word, Excel, PowerPoint, and Access
Beginner/Intermediate: Tactician, SAS, query tools (Business Objects, SQL), R, Python
Beginner/Intermediate Knowledge: The use of data sources and applications to conduct research

117

Data Analytics Consultant Resume Examples & Samples

Identifies and resolves simple to complex data issues
Performs and evaluations simple to complex trend analysis (e.g. competitor analysis, risk management, financial)
Good working knowledge in the use of data sources and applications to conduct research
Plans, implements, manages simple to medium complexity data projects into a cohesive project plan to move the most important work forward and begin to build the information needed to best manage customer data and analysis
Assists in the development the Allstate ABI data quality and validation guidelines
Contributes to the common vision of elevating the organizations’ commitment to clean, reliable, and accurate customer and business data
Ensure a cross functional view of business data is available to ABI
Supports the partnership with finance and compliance to ensure externally reported data is accurate and balanced appropriately
Ensure protocol is adhered to for customer data quality including joining disparate information systems to create a holistic view of the customer and his/her interactions with Allstate
Implement processes to maintain high quality data assets
Uses sound decision making capabilities including problem solving approaches, decision frameworks; ability to design and lead complex analysis
Thrives in a collaborative environment
Good quantitative and analytical skills
Ability to synthesize large amounts of complex data into meaningful conclusions and recommendations
Good presentation skills; dynamically (persuasively) presenting ideas to management
Ability to inspire trust and influence others
Ability to understand Business Insurance consumer trends, industry/ competitive dynamics, and economics
Proven track record managing multiple priorities given aggressive timelines; comfortable performing in a fast paced, dynamic and ambiguous business environment; manage both internal and external resources
Strong working knowledge of commercially available analytical tools (i.e. Excel, ACCESS, SAS)
Trains/coaches team members and/or peers as needed
Actively shares expertise with peers
Continually seeks opportunities for learning and development within their respective discipline(s)

118

Business Operations & Analytics Consultant Specialist Resume Examples & Samples

Perform business analysis using business acumen along with various financial and operational tools to determine present and future options and recommendations for improving TRO’s security and compliance delivery efficiency
Develop, interpret and implement resource and purchasing planning, tracking, reporting, and control
Gather, analyze, prepare and summarize resource and purchasing plans and assists in translating them into business cases, budgets, forecasts and long-term plans
Consult and coordinate with cross-functional teams to ensure TRO enterprise alignment
Independently handle a variety of high profile requests and produce high quality deliverables for C/D Level Executives
Demonstrated ability to write executive reports and lead presentations
Ability to take initiative to communicate, interact, and cooperate with others to ensure that all aspects of a task are addressed
Maintain current knowledge on health care industry, regulations, and KP and KP-IT business strategies
Generate innovative ideas
Evaluate alternative operational efficiencies
Communicate risks to clients and leadership and ensure an understanding of these risks
Manage shared resource demands
Coach team members, as appropriate
Provide 360 reviews and monitor work products of lower level resources
Provide on-the-job training to peers/lower level resources on proper business analysis techniques and methodologies
A minimum of 10 years of experience in business consulting or finance including negotiating service level agreements, technology assessment, enterprise alignment, customer and vendor relationships, process improvement, developing and executing delivery plans for large complex IT systems
Strong proficiency in Word, PowerPoint and Excel
Experience with Business Case creation and IT Governance
Budget/Resource management through Clarity / RPM
Excellent analytical, modeling, and problem solving skills
Experience preparing alternatives analyses, business requirements and cost/benefit analyses
Demonstrated ability to articulate complex technical and financial concepts to a lay/business audience
Must have a working knowledge of databases and report generation
Must have good communication and planning skills, be detail oriented, well organized, problem solving, self-directed, team focused, and results driven
Strong client relationship focus and experience working with Executive Level staff/leadership
Partner strategically across areas, entities, and functions to achieve long-term performance and organizational goals
Master’s degree
Knowledge of Lotus Notes, MS Outlook, MS Sharepoint and MS Access
Familiarity with KP Tools (Peoplesoft-Onelink, Cognos, Business Objects, KP Perfomance Management System, Clarity-RPM)
Thorough knowledge of Finance & Accounting policies, practices and systems: especially rules & requirements regarding the capitalization of labor

119

Senior Business Analytics Consultant Resume Examples & Samples

Successfully builds and maintains relationships with business stakeholders both internal and external of QR&A
Works to identify and engage stakeholders
Able to connect people and existing/ongoing work to business problems
Starts to work with business partners to contribute to strategic vision
Understands the business in their focus area and how potential actions will influence the business
With no direction develops appropriate analytical solutions for business problems
Leads moderately complex medium impact projects from ideation to delivery in an Agile framework, with an emphasis on measurable, value add deliverables
Able to contribute to high complexity projects
Communicates clearly throughout the project process to all parties involved about scope, timeline, issues and any changes to them
Ensures partnership through the development process to in order to ensure the successful transition of moderately complex research to an operational state within the business unit
Documents all communications, processes, data and considerations involved in the project
Uses a variety of data sources to better understand business results
Identifies potential out of pattern elements in our business results and drives action based off of the information
Bachelor Degree: Business or Technical
Intermediate: Knowledge of insurance business operations
Beginner/Intermediate Customer Focus: Knowledge of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions, and ability to leverage that information in creating customized customer solutions
Beginner/Intermediate Analytical Thinking: Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of organizational problems and create alternative solutions that resolve the problems in the best interest of the business
Intermediate Business Acumen: Knowledge, insight, and understanding of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business; ability to apply this knowledge appropriately to diverse situations
Beginner/Intermediate Business Analytics: Knowledge of technologies, techniques and practices for the evaluation of business performance data; ability to analyze business performance using statistical methods to justify and drive future business planning decisions
Intermediate Consulting: Knowledge of techniques, roles, and responsibilities in providing technical or business guidance to clients, both internal and external of QR&A; ability to apply this knowledge appropriately to diverse situations
Intermediate Decision Making and Critical Thinking: Understanding of the issues related to the decision-making process; ability to analyze situations fully and accurately, and reach productive decisions
Beginner/Intermediate Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors
Beginner/Intermediate: Microsoft Office Suite
Beginner/Intermediate: SQL, R, Python, Tableau or other analytical tools

120

Analytics Consultant Resume Examples & Samples

Responsible for client renewals and up sells by ensuring high and extended usage of our products
Provide insight into the risk and investment process on client portfolios by sharing best practices around risk, performance and portfolio construction
Conduct regular product and methodology trainings for clients
Follow market trends and apply them to the range of MSCI Analytics products
Work closely with client service and operations teams, sales and business management
Proactive and continuous communication and discussion with clients around product enhancements
Very strong analytical, communication and time management skills
Keen interest in understanding the latest developments in the financial markets
Good working knowledge of factor models, portfolio construction processes, risk management, pricing models, stress testing or performance attribution
Strong understanding of global financial markets, including modelling, and pricing of different asset types in the fixed income, equities, commodities, and credit markets and their derivatives
Good presentation skills and the ability to clearly communicate complex ideas to a wide variety of audiences. Ability to plan and hold seminars and workshops; speak before larger and experienced audiences
Able to collaborate with sales, research and business groups across the organization to deliver value to client
Innovative, client orientated thinker able to identify and exploit market niche opportunities
5+ years’ experience in quantitative finance, portfolio management and/or risk management role preferred
Master Degree / Diplom required ideally in finance/engineering/mathematical field
Postgraduate degree (PhD, MBA or MSc) or Professional qualification (CFA, FRM)
Experience with BarraOne, Barra Portfolio Manager, Barra Aegis, RiskMetrics, Credit Manager and software a plus
Language skills a plus

121

Business Analytics Consultant Resume Examples & Samples

At least three years of experience working with annuity and insurance products along with a working knowledge of the features, benefits, risk characteristics and attributes of these types of products
Project management experience involving developing and executing on projects cross-functionally across a large organization
Client-facing and/or sales experience with annuities and insurance products
Strong knowledge of the financial planning process with experience with various types of financial planning tools and software
Strong working knowledge of how annuities and insurance products fit within the context of a client’s overall financial and investment plan

122

Senior Analytics Consultant Resume Examples & Samples

Provide insightful, actionable analysis using in-depth knowledge of insurance and finance issues, knowing how to access and apply available data relevant to the issue, and having the ability and commitment to master software that requires training but not an advanced degree in statistics
Understand the financial drivers of business results and leverage large datasets in order to investigate and answer business questions
Create new and innovative approaches to solving business problems and demonstrating out of the box thinking
Communicate complex ideas and findings in an easy to understand manner and creating actionable insights for leadership
Uses and learns a wide variety of tools and languages in order to achieve results (e.g. SAS, R, Tableau, SQL), and identifies additional languages and tools that can bring efficiencies or needed techniques to the team
Collaborates with others in order to improve the effectiveness of business decisions and ability to work independently with limited oversight
Communicates finding clearly and concisely to team members, leadership and stakeholders
A minimum of 3+ years of financial analysis experience in an Insurance or Financial Services organization
Advanced business knowledge (i.e.; deep financial skills/flow of the numbers)
Strong working knowledge of financial and accounting concepts
Advanced analytical and financial model building skills
Intermediate consulting skills
Strong work ethic, including ability to follow-up, focus on details and take initiative
Intellectual curiosity and drive for continuous improvement - personally and with work assignments
Strong oral and written communication skills, able to work effectively with employees both internal and external to the finance function
Advanced time management skills and organization skills with the ability to adapt to the changing needs of the business
Advanced Microsoft Excel skills required. Working knowledge of Power Point and Word

123

Analytics Consultant Resume Examples & Samples

Provide insightful, actionable analysis using knowledge of insurance and finance issues, knowing how to access and apply available data relevant to the issue, and having the ability and commitment to master software that requires training but not an advanced degree in statistics
Understand and learn the financial drivers of business results and leverage large datasets in order to investigate and answer business questions
Create new and innovative approaches to solving business problems
Communicate ideas and findings in an easy to understand manner and creating actionable insights for leadership
Collaborates with others in order to improve the effectiveness of business decisions and ability to work independently with some oversight
Understands the business’ problems and proposes custom solutions for analyzing and solving these problems
A minimum of 1.5 years of Financial Analysis experience in an Insurance company or Financial Services organization
Intermediate business knowledge (i.e.; deep financial skills/flow of the numbers)
Working knowledge of financial and accounting concepts
Intermediate analytical and financial model building skills
Solid work ethic, including ability to follow-up, focus on details and take initiative
Strong interpersonal skills to work effectively in a team environment
Effective time management and organization skills with a proven ability to multi-task
Intermediate Microsoft Excel skills required. Working knowledge of Power Point and Word
Hyperion Planning tool (including Essbase) experience is a plus

124

Adobe Analytics Consultant Resume Examples & Samples

Create implementation plans and estimates for new and existing clients in the territory you will cover,
Contribute in delivering Adobe Analytics projects on time and on budget,
Provide feedback, summary and information about projects situation (Difficulties, risks, successes, opportunities, etc),
Liaise and co-ordinate with other Adobe Analytics entities to optimize the use of resources,
Develop productive working relationships (eg. information sharing) with Adobe Analytics teams in other territories (APAC, US, etc)

125

Business Analytics Consultant Senior Resume Examples & Samples

Business lead for various regulatory reporting submissions; including but not limited to several FR Y-14Q submissions
Perform detail analysis and trending on various data fields
Reconciliation of data to general ledger and internal reporting
Identification of data quality issues and partnering with Data Issues Management to ensure tracking and resolution
Driving process improvements
Coordinating and responding to regulatory ad-hoc reports and analysis in a timely manner
Provides overall direction for communicating regulatory requirements, evaluate progress, manage issue resolution and risk mitigation if necessary
Assist in Enterprise Data Management projects as requested
Bachelor’s degree in Business, Finance or related field required
Knowledge of technologies, techniques and practices for effectively analyzing data and the ability to use findings to justify and drive decisions
Regulatory reporting experience a plus
Ability to work under pressure, prioritize multiple assignments, and bring tasks to complete closure
Comfortable leading an initiative or playing a support role on the broader team
Ability to identify issues, problem solve and escalate concerns when appropriate
Excellent interpersonal skills and ability to work effectively with people in a wide range of positions
Ability to work independently with minimal guidance
Ability to work in a fast pace environment with deadlines
Proactively identifies opportunities for process improvements and change
Proficiency with Microsoft Excel and Access

126

IT Data Analytics Consultant Resume Examples & Samples

Process and analyze health care data using Optum Impact standard warehouse methodologies and software
Review and analyze client data via quality control processes for anomalies or other issues which could compromise product functionality
Communicate data issues and discoveries with clients during the implementation process via written documentation, conference calls and occasional on-site meetings
Document issues, resolutions and programming steps pertaining to the implementation process and client data
Work with team members on managing the data implementation process from start to finish for clients
Influence senior leadership to adopt new ideas, products, and / or approaches
Support Optum Support Desk as a functional SME for Impact / Symmetry
Serve as a thought leader for Optum business and our clients
7+ years of experience with health insurance, Impact / Symmetry products, health care or pharmaceutical industry data
5+ years of programming experience using SQL, SAS Base and SAS Macro
5+ years of experience querying, gathering and analyzing data
Claims knowledge with Medicaid and Medicare
Knowledge and awareness of standard practices for quality control and audit trails

127

Analytics Consultant Resume Examples & Samples

Generating and maintaining metrics dashboards used to support the MYB program for both Humana Inc., and Humana Pharmacy Solutions
Generating tracking reports to track spend and utilization of targeted drugs
Performing deep-dive analysis and answer questions around metric variances
Communicating high level summary results to business owners and leadership
Developing and improving processes and documentation to support best practices
Performing ad-hoc analysis on an as-needed basis
Standard automation as well is open-ended process innovation
Bachelor Degree in Business, Computer Information Systems, Mathematics, Statistics or a related field
Experience with data extraction and manipulation
Moderate to advanced technical abilities in SQL, SAS or a comparable programming language
Solid base of MS Excel abilities, including formula logic and summary report design
Strong interpersonal and communication skills to manage relationships with customers
Candidates should have the ability to work on multiple projects with occasionally tight deadlines
Candidates should also possess the ability to take initiative, work independently, and exercise appropriate business judgment
Masters’ degree in Analytics, Business, Computer Information Systems, Mathematics, Statistics or a related field
Prior healthcare industry experience in a clinical, pharmacy, or related setting
Experience manipulating large, complex data sets
Prior experience in data mining or reporting visualizations

128

IT Data Analytics Consultant Resume Examples & Samples

2+ years Modeling experience using Cognos Framework Manager
2+ Data warehouse experience
2+ years of experience with IBM Cognos Administration
2+ years of experience with SQL
Ability to communicate effectively both verbally and in writing
Experience in Medicaid or Health Care Insurance

129

IT Data Analytics Consultant Resume Examples & Samples

Gather and analyze business requirements
Develop technical specifications and design documents
Test Data Warehouses/Data Marts Lead Data Warehouse team for selected projects
5+ years of Data Analysis experience
5+ years of experience working with Oracle or/and SQL Database
3+ years of SDLC experience
Excellent knowledge of relational databases, data marts, data mining, data analysis, and data presentation
Knowledge of PPO's, HMO, Medicare/Medicaid programs/products as well as their laws and regulations
Microstrategy Experience
Informatica Experience

130

Data Visualization & Analytics Consultant Resume Examples & Samples

Collaborate with business and technology users to define data visualization programs
Build, test, and deploy meaningful analytic dashboards
Teach and consult clients and their organizations to get the most value out of their data visualization investments
Work directly with data visualization vendor partners to understand product roadmap and bring cutting edge features to our clients
Provide thought leadership, best practices, and standards required to deliver effective Tableau or Qlik solutions to clients

131

Analytics Consultant Resume Examples & Samples

Building meaningful analyses to support Sales channels’ tactical and strategic activities
Tracking and analyzing of marketing performance and behaviour across all CIBC campaigns, products and channels
Forecasting Marketing performance based on historical data and anticipated business environment
Explaining unanticipated variations from expected Marketing performance and behaviours and providing recommendations to Marketing management
Participating, cooperating, and contributing to select cross-functional project teams to drive process and performance improvements. Examples of such projects include contributing to a team measurement strategy for automated reporting, management of the reporting workstream for a Marketing-wide initiative to improve campaign timeliness and relevance
Consulting with and mentoring internal and external sources, colleagues, and others to discuss information and best practices
Developing and maintaining productive relationships with management, peers and others across all lines of business
Proactively identifying process and practice improvement opportunities, building business cases, and influencing senior leaders to drive changes. Identifying business problems where analytical techniques can be effectively applied to achieve core business objectives

132

Digital Analytics Consultant Resume Examples & Samples

Design analytical projects by selecting appropriate techniques, extracting data, analyzing information and providing actionable results
Perform analysis to deliver business solutions using SQL, SAS, Tableau and other relevant tools
Perform complex database marketing activities, including list builds, reporting, and pre & post-campaign analysis
Conduct statistical modeling (e.g., logistic regression, multiple regression, decision tree), when appropriate, to help identify target audiences for marketing tactics

133

IT DT Analytics Consultant Resume Examples & Samples

Architect, deploy, and manage integration business technology solutions and applications, analytical technology solutions
Key focus on technologies in the POC or early implementation stage
Management of the installation, testing and usage of those solutions
Coordinating with various IT teams to determine if solution is viable to business goals
Develop and manage technology solutions portfolios, and identifying new technology approaches to solve business problems with a strong focus on leveraging enterprise data
Enable efficient tools to streamline analytic tool development and deployment to enterprise platforms
Consult with internal teams
Manage internal engagements, meeting project and deliverable timelines, ensuring the accurate and timely completion of deliverables
Work with Analytics Directors on staffing needs, strategic technology trend identification, monitoring project progress and completion, issue resolution and technical solutions related to data, analytics and advising on analytics tool deployment
3+ years in enterprise architecture OR data warehousing OR business intelligence OR software development OR advanced analytics
Demonstrated experience administrating a UNIX/LINUX environment
Proficiency in at least one programming language with demonstrated experience developing technical solutions; Java, C, .NET, SQL
Experience with documenting and communicating complex technical concepts
Experience with converting research requirements to analytical specifications
Hands on experience with Hadoop
Demonstrated experience with analytic tool planning, scaling, and administration
Experience with statistical software integration (e.g., SAS, SPSS, or R)
Familiarity with visualization capabilities such as D3.JS and Tableau (and Tableau server)
Experience with advanced language/scripting (Python, Scala, Java)
Experience with app development, analytical infrastructure development, and business solution consulting experience in the medical or pharmacy policy space, fraud-waste-abuse detection, marketing analytics and healthcare economics
Experience with collaborating with analytics practitioners, business analysts and methodologists to lead process design and project implementation of technical solutions and processes

134

Director, Data & Analytics Consultant Resume Examples & Samples

Lead client analytics projects and oversee data ingestion, validation, mining, and engineering work streams, as well as modeling, visualization, and client communication deliverables with teams comprising data science, big data, and visualization experts
Minimum of ten years of data analytics experience with a professional services firm, an internal strategy/analytics group, or similar environment
Bachelor’s degree in a technical or quantitative field from an accredited college or university (master’s or MBA degree is preferred) with working knowledge of topics such as statistics, econometrics, machine learning, operations research, decision science, and cloud computing

135

Business Analytics Consultant Resume Examples & Samples

SQL-based RDBMS (Oracle preferred; DB2, Teradata, and SQL Server acceptable)
Tableau
Documentation
Basic Office Tools
Clarity
ServiceNow
Archer
Troux
Zenoss

136

Business Analytics Consultant Senior Resume Examples & Samples

Supports the Teradata Platform, Enterprise Data Warehouse, Power 1, Wholesale Bank Data Warehouse, Basel Credit Risk, and the Commercial Risk Warehouse
Solid interpersonal and organizational skills with the ability to collaborate well across teams / organizations
Experience with writing business and technical documents/requirements
Project Management experience - creating project plans
Access Management - completes quarterly cerrtifications and submissions, and decisions end user and application access requests
Audit Management - work with internal audit on application inquiries, build remediation plans for potential audit issues, SOX exceptions, etc
Provides support with defining, prioritizing, planning and forecasting scope of scheduled releases with technical teams
Experience creating training materials and training execution is a plus

137

Data Analytics Consultant Resume Examples & Samples

Bachelor's Degree in Statistics, Mathematics, Economics, Finance, Accounting, or Business or related discipline
5+ years of progressive professional experience with emphasis in financial analysis or other analytical functions i.e. data analysis, business intelligence, data mining, data warehousing
Advanced proficiency with MS Excel
Ability to interact effectively with different business units, team members, and external client at all levels
Ability to drive results
Desire to make an impact, manage multiple tasks and shift priorities quickly

138

Senior Analytics Consultant Resume Examples & Samples

Exposure to complex business analytic implementations in SAP products, such as HANA, HANA Live, BW/4HANA BW and Predictive Analytics
Experience of consulting in a variety of different industry sectors
Can contribute to the preparation of complex proposals ensuring that client needs are met
Build strong relationships with senior client management based on trust and credibility
Willingness to travel and be based on client sites when required
Developing our people and contributing to our practice in other ways – e.g. by developing training materials / white papers or supporting back office functions"
Responsible for and able to mentoring junior consultants
Graduate / post graduate Degree from a well-known and accredited university or institution
Strong conceptual design and analytics capabilities with an ability to balance theory and practical reality
Minimum of 8 years SAP BW - BW implementation experience
Understanding of BW/4HANA
Detailed knowledge of BW / HANA data modelling best practice
Experience of team leading small / medium/large sized analytic teams
SAP BW and HANA Certification

139

Workforce Analytics Consultant Resume Examples & Samples

Identifies, assesses and solves complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors
Relevant Bachelor's degree required
Minimum 3 years’ experience in consulting or client facing roles
Knowledgeable in Workforce Planning

140

Data & Analytics Consultant Resume Examples & Samples

Evidence and experience of relevant data management consulting or industry experience
Implementation experience and deep knowledge in any of the following areas - Master Data Management, Data Governance, Data Quality, Data Architecture, Data Security
Experience with being part of and leading complex data management engagements including all phases of the project life cycle from scoping and planning, requirements gathering, design, development, testing, and go live and maintenance
Experience in working with data management related technologies preferably with Data Architecture, Data Integration, Data Quality, Master / Metadata management related technologies
Ability to take complex solutions and make them simple to explain and digest
Excellent stakeholder management, communication (facilitation, negotiation)and influencing skills

141

Digital Analytics Consultant Resume Examples & Samples

Excellent understanding of Pharma data sets – commercial , clinical, EMR ( Electronic medical records)
Leverage ones hands on experience of working across one or more of these areas such as real world evidence data , R&D clinical data , digital marketing data
Solutioning for propositions around one or more of the below areas
Minimum of 1 year of experience working on advance analytics projects involving statistical models like logistic regression, Cox proportional hazard model, etc
Minimum of 1 year of experience in using advanced analytics tools such as SAS/R
Minimum of 1 year of experience in using data visualization tool such as Tableau, Spotfire, or Qlikview
Strong Client facing skills
Able to build and own relationships
Should have business acumen, take initiative and be self-driven
Strong conceptual knowledge on statistics
Very good Microsoft Office (Excel and power point ) skills
Experience in requirements gathering and design for BI/analytics
Experience working across teams from multiple geographies (e.g. USA, Europe etc.)
Strong business and technical knowledge accountability

142

Risk Analytics Consultant Resume Examples & Samples

Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
Deliver on risk modeling and analytics projects that may involve model development, validation, risk strategy, model implementation, economic/regulatory capital calculation, stress testing and end-to-end delivery of risk management solutions
Support project teams engaged in the delivery of a wide range of credit, market and/or operational risk management analytics initiatives
Support development of the Risk Analytics practice by driving initiatives around market research, capability development, thought capital, knowledge management, etc
Minimum 2 years of prior Management Consulting experience focused on the Financial Services industry
Minimum 3 years of experience with: Credit, market, liquidity, 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.)
Exposure to retail, commercial, and/or Capital Market portfolios, including: commercial lending, asset-based lending, treasury services and investment banking OR capital markets, insurance, wholesale/retail lending, deposits, etc
Risk regulatory trends in Canada, principles and practices (e.g., OSFI guidance on stress testing, capital management (MCT), ORSA etc.)
Exposure and/or proficiency with analytical tools such as R, SQL, C++, VBA, Murex, Calypso, Numerix, etc
Desirable 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, commercial real estate, credit card, mortgage, retail and/or trading book
Demonstrated understanding of the unique components and behaviors of those portfolios noted above and processes, such as loan origination and underwriting; credit policies; portfolio management, allowance for loan and lease losses; loan review and remediation
Demonstrated ability to clearly communicate with clients, document and understand requirements
Demonstrated ability to lead key requirement workshops with clients
Strong competence in developing presentations required (MS Office (Word, PowerPoint, Excel) )
Minimum of a Bachelor's Degree in a quantitative discipline such as: Mathematics, Statistics, Econometrics, Economic
Experience within the model risk or model development team of a universal bank, wholesale bank or rating agency
Data management experience (e.g., extracting, aggregating and structuring large volumes of data, etc.) in the context of analytics
Strong understanding of front and back office operations desirable
Strong desire to work in the management consulting industry and deep interest in financial services

143

Business Intelligence & Analytics Consultant Resume Examples & Samples

Participate in the full lifecycle of an analytics or BI project: from gathering and understanding the end-user needs over creating the functional design, architecting the solution, supervising the detailed technical design and implementation, to preparing and executing the functional and product tests before handover
Executing and reviewing assessment activities and maturity diagnostics on the analytics capability of a client (organization and processes, added-value analysis, application adequacy, IT capability,…)
Participate in the development of strategies, operating models (i.e.. organisations & processes), roadmaps and business cases for Analytics and BI solutions
Researching Accenture's knowledge capital and using Accenture's international network of capabilities to identify what solution best fits the client's needs, constraints, timelines and budget
Participating in business development efforts to secure new projects at new and existing clients
Building and maintaining the client relationship on both IT and business side
0 to 6 years of working experience in the field of Business Intelligence and Analytics
Proven predictive and/or descriptive analytics experience
Experience in functional design of BI and analytics solutions
Proven ability to estimate and plan client requirements, produce best in class deliverables
Predictive analytics: SAS, R, Python, SPSS, KXEN,…
Data Integration: Informatica, SAS, IBM, Oracle, Microsoft, AbInitio,…
Big data: Kafka, Flume, Spark, Storm, Hadoop, Cassandra, Elastic Search
Data discovery/cleansing: Dataflux, Trillium,Vality, Informatica, Human Inference,…
BI-in-a-box: SAP BW, IBM, PeopleSoft EPM, Oracle BI Apps, Teradata, Microsoft, Kalido,…
OLAP and Reporting: Business Objects, Cognos, Hyperion, MicroStrategy, SAS, Microsoft
Database Management Systems: Oracle, Teradata, IBM DB2 UDB, MS SQL Server, Sybase IQ, Netezza
Working knowledge of industry data models is a plus

144

Digital Analytics Consultant Resume Examples & Samples

Business Intelligence / Data Warehouse
Big Data
Data Management
Data Integration
Supporting client teams on Analytics solution architecting tasks including business requirements analysis and solution design
Designing functional and technical solutions and participating in Analytics/BI implementation projects for our clients
Adopting and utilizing Accenture's Analytics/BI approaches, methodologies and assets
Working in collaboration with Accenture’s global network of experts and delivery centers
Proven problem analysis and problem solving skills
Strong customer references
Exceptional presentation skills - dynamic presenter with ability to convey technology and business value propositions
Good listening skills, and an ability to ask questions and probe to uncover issues
Good interpersonal, communication and presentation skills - able to present to CXO's
Excellent written and oral/presentation skills in both English and Swedish
Passionate about helping clients bring value from their data!
Proven quantitative ability, with deep understanding of analytics techniques and application of services, such as clustering, predictive modeling, and optimization
Experience of working in analytics tools such SAS E-miner, SPSS, or R
Ability to explain complex analytics topics to clients, making very theoretical findings graspable for C-level clients
Great data visualization skills, either with ordinary office applications, or more dedicated data visualization tools such Tableau, TIBCO Spotfire, Qlikview and SAS VA
Strong problem identification and analytical skills
Experience leading clients, teams and motivating others to take action
Experience of analyzing and combining data sources and delivering optimized analytics experiences
Experience of defining new operating models or enterprise digital architectures to support strategy recommendations
Good technical skills in any (preferably several) of the following platforms: SAS, Informatica, Microsoft BI, IBM Cognos, SAP, Oracle, Teradata and MicroStrategy
Experience from working in project teams and applying delivery methodologies
Preferably consulting delivery experience from client projects
Strong and broad knowledge of digital technology trends applied to client and business context
Strong interest in growing your own technology, industry, management and leadership skills

145

Analytics Consultant Resume Examples & Samples

Lead discovery sessions with key stakeholders to understand strategic program goals, and then align Lash’s data and analytical services to support those goals
Oversee the delivery of actionable, data-driven insights and recommendations to aid in the decision-making process, applying data visualization best practices to effectively tailor the message to the various target audiences
Communicate program status with key stakeholders and escalate issues or opportunities
Use their business and analytics knowledge to explore improvement opportunities with clients, and propose innovative ways to deliver results
Provide consulting support on analytics solutions (program design, report design, data feed design, data aggregation, etc.)
Act as the consulting and insights expert, leading the way in data discovery, both proactively and by request, to identify key insights and trends to help drive strategic recommendations
Act as the voice of the client internally at Lash Group to ensure data solutions are provided with high-quality to meet the client’s needs
Responsible for development and documentation of data strategy and related intermediate deliverables such as business rules, analytics requirements, and providing assistance with data definitions
Responsible for the preparation and development of Executive Business Reviews
Place a heavy emphasis on the customer experience with each interaction and deliverable
Play an active role in business reviews, especially during analysis findings sections and strategic planning discussions
Play a lead role, acting as the voice of the client, in designing data feeds with data sources and creating actionable deliverables, providing business recommendations based on insights extracted from the analysis
Deliver ad hoc reporting and analytics within an agreed-upon SLA
Provide recommendations on report design, particularly in regard to data visualization best practices
Develop others by developing and training analytics best practices across programs with other stakeholders, both for the client and Lash Group, such as how to interpret/understand data, how to best integrate data with a particular 3rd party, etc
Leverage data integration best practices to provide guidance and recommendations on best practices around integration of internal and external data sources to ensure our clients benefit from rich, robust, data environments to help support advanced analytics & reporting goals for the program
Ability to create new or leverage existing analysis models and apply them to aligned program using industry knowledge
Requires experience in querying and structuring relational databases using SQL, with 5 or more years of experience
Completion of a four year Bachelors’ degree program, preferably with an emphasis in mathematics, statistics, or data and analytics
Advanced analytics experience including advanced modeling techniques desirable
Requires expertise in business intelligence platforms such as Qlik, Tableau or like platforms, with 5 or more years of experience
Demonstrates strong interpersonal and partnership skills
Strong verbal and written communication with the ability to communicate within teams
Planning and organizational skills with a solid attention to detail

146

IT Data Analytics Consultant Resume Examples & Samples

Translate and manipulate complex data from various data sources; profile and decipher data quality
Develop new Tableau dashboards, ETL workflows, aggregate and analytical datasets
Partner across KLG, Optum Tech, and Human Capital to drive reporting and analytics
Understand business goals and priorities to craft and deliver meaningful reporting solutions
Create and or modify presentations, charts, tables and graphs
LMS Administration (advanced course and program creation, course ownership, learner management, consultation, liaison with LearnSource Team, etc.)
BA/BS degree in IT, Training-related or HR field
3+ years of experience in a training or HR Field
5+ years of experience working with data, including analysis, interpretation, and reporting
Experience with Tableau & Big Data platforms (Datameer, Hadoop, Hive, etc.)
ETL (Extract, Transform & Load) Experience
Intermediate level of proficiency working with data in Excel and presentations in PowerPoint
Excellent time management, organizational, and prioritization skills and ability to balance multiple priorities
Effective interpersonal, influence, collaboration and listening skills and proven success driving for results individually and in a team setting
Ability to effectively communicate and present to all levels within an organization as well as external partners
Experience managing content in a Learning Management System (LMS) or similar software application
Experience working effectively in a highly matrix organization
Experience working in healthcare

147

Data Analytics Consultant Resume Examples & Samples

Proactively broaden and deepen client relationships by working with varying levels of client team members
Strong communication skills with the ability to explain technical concepts and analytics-driven findings to business people, and to explain business processes, concepts, challenges, and issues to technical resources
Ability to travel up to 80%
Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future

148

Senior Analytics Consultant Resume Examples & Samples

Developing Campaign Effectiveness vision and plans, to support Marketing management in identifying new marketing opportunities, optimizing Marketing resource utilization, and controlling expenditures (Return on Marketing Investment)
Analyzing Marketing opportunity drivers for CIBC, relative to expected performance and providing insights to Marketing management
Working in close cooperation with other Marketing teams (e.g. Enterprise Client Interaction and Campaign Management, and Client and Competitive Insights), and Product /Channels groups, in order to better the usability of all data relevant to CIBC Marketing
Participating, cooperating, and contributing to cross-functional project teams to drive process and performance improvements. Examples of such projects include developing a CE team data strategy for automated reporting, management of the reporting workstream for a Marketing-wide initiative to improve campaign timeliness and relevance (Client Lifecycle Management), bank-wide MPSO-DSM reporting, and a Digital Analytics Strategy for the Marketing department
Consulting with and mentoring internal and external sources, colleagues, and others to discuss information and best practices. Assisting in recruiting and developing talent for CIBC Marketing Analytics teams
Supporting the data strategy within the CE team, and providing data management consulting to business units, assessing each unit’s needs and developing an analytical plan. Developing models and “what-if” scenarios to demonstrate the range of options and potential impacts available to management and clients

149

Business Intelligence & Analytics Consultant Resume Examples & Samples

Development of BI Dashboards and Reports and Cognos skills knowledge sharing
Statistical analysis of data and ability to provide detailed feedback
Self starter and provide in depth on site training to project team
Recognize areas for improvement, set a plan and execute
Solution documentation, bug tracking and Agile sprint management
Experience with developing easy to use reports and dashboard from Cognos Report Studio e.g. using HTML objects,JQuery, Javascript etc
Experience with other BI tools e.g. Qlikview, Tableau etc
Experience performance tuning Cognos reports

150

Business Analytics Consultant Resume Examples & Samples

Answer Requests for Information and Requests for Proposal (Technical Product Questions, Architecture and Infrastructure Questions)
Create customized BI demos using the Oracle BI stack, both Cloud and On Premise
Create and deliver Proof of Concepts based on specific customer requirements
Deliver Partner Enablement sessions
Maintain in depth and up to date knowledge of relevant business drivers & typical customer needs
Ensure collaboration with industry presales teams, partners, the core technology presales community and sales
Actively develop product expertise
Attend adequate product trainings; read relevant collateral, analyst reports, white papers, competitive documents etc

151

Analytics Consultant Resume Examples & Samples

Builds and validates predictive models in collaboration with business partners in functional areas such as Underwriting, Pricing, Distribution, Claims, Risk Control, and IT
Interprets the results of models in business terms and communicates the contents of the models to business decision-makers
Participates in crafting products and innovative solutions that will provide revolutionary change
Participates in special projects requiring quantitative expertise
Proficiency with SQL and with standard statistical software (e.g., R)
Attention to detail and accuracy of work
Strong writing skills, including writing coherent documentation and reports
Strong time management skills and a sense of urgency
Ability to work effectively with colleagues with diverse perspectives and backgrounds
Bachelor's Degree in a relevant discipline, or equivalent; Advanced degree preferred

152

Analytics Consultant Resume Examples & Samples

Demonstrated ability to analyze data to gather insights to solve business problems and/or identify business opportunities
Developing solution using PowerPivot for Excel including writing DAX calculations
Writing SQL queries to retrieve and analyze data form a database such as Oracle, SQL Server, MS Access, MySQL

153

Analytics Consultant Resume Examples & Samples

Expert solution delivery using Tableau, Alteryx, and Microsoft BI
Working knowledge of Python and R
Understanding of AGILE project approaches and methodologies
Familiarity or strong desire to understand quantitative analysis techniques (e.g., predictive modeling, machine learning, segmentation, optimization, clustering, regression)

154

Analytics Consultant Resume Examples & Samples

Ability to work overtime and irregular hours when needed
Ability to manage project tasks and work independently
Ability to travel and work remotely (up to 80%)
Must be located in, or willing to relocate to, Kansas City, Chicago, Houston, New Jersey, Salt Lake City, Phoenix, or located in a virtually approved city
Experience with Business Objects
Familiarity with the Cerner Millennium Data Model
Basic CCL skills
Basic SQL skills
Familiarity with Data Warehousing, Business Intelligence and ETL concepts

155

Analytics Consultant Resume Examples & Samples

Articulates the impact of Cerner solutions on future state workflow, role and service line/department
Articulates regulatory impact on service line/department
Articulates clients desired value outcomes and can map solution delivery to value achievement
Establishes trusted relationships with all levels of service lines/department inside the client organization(s) and within Cerner project team
Works in accordance with corporate and organizational security policies and procedures. Understands personal role in safeguarding corporate and client assets
Contributes to organization financial objectives by maximizing efficiency and billability
Mentors other Consultants; assesses skill level and provides knowledge transfer and guidance
Following industry standards and topics for service line/department
Actively contributes ideas to action plan
Proposes viable solutions
Follows through on actions independently
Strong Analytical Skills
Ability to translate client requirements into technical requirements and work-flow
Relocation to the Malvern, PA area
Ability to travel 10%-20% of the time
Experience and knowledge of EDI Transactions
Experience and knowledge of Claims and Remittance Processing
Experience and knowledge of Hospital Financial Business Office Processes
Mainframe Technology experience

156

Digital Analytics Consultant Resume Examples & Samples

Responsible for delivering presentations and business insights back to our clients
Serve as a project lead on multiple projects
Frequent client meetings, work product reviews etc. will be part the role
Achieve expertise and excellence in digital marketing analytics pertaining to e-commerce and brick-and-mortar retailers
Responsible for creating collateral, architecting the solution, pre-sales (creating pitch decks and pitching to prospective clients)
Expected to publish white papers, articles and help create internal training material
Minimum of 4 years of work experience in digital marketing domain
Hands on experience with Google Analytics tools like Site Catalyst & Omniture
Proficient in data handling, understanding, analysis and interpretation of results
Prior experience in web analytics, clickstream analysis, attribution modeling, design of digital marketing campaigns, reporting etc
Specific work experience in e-commerce or retail is essential
Should have clarity in articulating a problem statement based on the domain expertise, formulating hypotheses and ensuring data collected, aggregated can test those hypotheses
Ability to break down the work required, create project plans, get buy-in from stakeholders and manage efforts against the plan
A Leader with good communication and Team Management skills
Create test and learn approach from the learnings gained through the analytical exercise
Understanding of event-based analytics platforms like Snowplow, Keen.io and/or Mixpanel"
Understanding of AWS & Google Big Query database services

157

Senior Analytics Consultant Resume Examples & Samples

Engage directly with our clients in the financial industry
Analyze and review analytical models related to financial risk
Use data storage systems to facilitate analyses
Review processes related to financial risk
Document and present findings

158

Senior Analytics Consultant Resume Examples & Samples

Emphasis is on end-to-end delivery of analysis and guiding junior staff
Contribute to how analytical approach is structured for specification of analysis
Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems
Participate in design of analysis and modeling approach with managers and modelers
Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with client’s data/ IT teams to resolve issues
Use variety of analytical tools (SAS, CART, SPSS etc.) and techniques (regression, logistic, GLM, decision trees, machine learning, artificial intelligence etc.) to carry out analysis and drive conclusions
Reformulate highly technical information into concise, understandable terms for presentations
Master’s or Bachelor's degree in engineering, math, statistics, economics or related field from top-tier universities with strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
2-4 years of consulting, analytics delivery experience
Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required
Bilingual (English/ Spanish - Read/ Write/ Speak)
Travel - Required to travel to Mexico for periods of up to 6 months with a monthly fly back to the US

159

Analytics Consultant Resume Examples & Samples

5+ years experience in a web property analytical role (measuring marketing campaigns desirable)
Experience with Google Analytics, Omniture, HBX, WebTrends etc.), social media (Facebook, Twitter, Instagram, Tumblr, YouTube, etc.) and traditional advertising (TV, radio, OOH). Experience in digital marketing including advertising, search, email, social and web property measurement
Experience in measuring offline marketing activities (e.g. print and events).Experience analyzing data and creating reports with spreadsheets
Demonstrated experience with industry standard tools for tracking and capturing web data such as Google Analytics, Google Tag Manager, Dart for Advertisers or other similar tools
Database query experience (SQL) preferred
Expert-level Excel user
Driven, accountable, self-starter who thrives on challenges and is accustomed to a fast pace environment and usually involved in multiple projects simultaneously
Bachelor’s degree in a quantitative discipline with statistics course work (e.g. economics, statistics)
Advanced degree desired

160

Business Analytics Consultant Senior Resume Examples & Samples

Compile monthly Commercial Credit Auto Dealer Floor Plan Credit Quality Package and supplemental reports
Regularly meet with Auto Dealer Floor Plan LOB and Credit Risk executives to discuss reporting needs
Design and develop new reports in accordance with user business requirements
Write SQL queries using the EDM risk reporting database and other supplemental data sources
Use TOAD, Excel and/or Access to run queries and display summary and detail results for consumption
Perform detail analyses and trending to understand report results and underlying data
Reconcile data to general ledger and internal reporting; prepare inputs to SEC disclosures
Identify data quality issues and partner with Data Issues Management to ensure tracking and resolution
Identify and drive reporting process improvements
Respond to ad-hoc reporting requests
Assist in EDM risk reporting projects as requested
Experience in roles related to commercial lending and credit risk management, including management reporting experience; preferably 5 or more years
Strong knowledge of Auto Dealer Floor Plan lending, systems and automotive industry
Familiarity with reporting tools, databases and ability to write queries using SQL
Ability to effectively analyze data and use findings to justify and drive decisions

161

Advanced Analytics Weather Predictive Analytics Consultant Resume Examples & Samples

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At least 3 years of Predictive Analytics experience
At least 2 years experience using Advanced Analytical Tools (one or more of the following: SPSS, R, Python, SAS, Scala)
At least 2 years of professional Consulting experience with strong sales/business development experience
Basic knowledge of Weather impacted industry experience (Travel and Transportation, Energy, Utility, Insurance, Retail and CP, and Local Government) or desire to gain knowledge
Basic knowledge of Meteorology weather industry background or desire to gain knowledge
Readiness to travel up to 4 days a week (home on weekends-based on project requirements) including internationally
At least 5 years of Predictive Analytics experience
At least 5 years experience using Advanced Analytical Tools (one or more of the following: SPSS, R, Python, SAS, Scala)
At least 5 years of professional Consulting experience with strong sales/business development experience
At least 3 years Weather impacted industry experience (Travel and Transportation, Energy, Utility, Insurance, Retail and CP, and Local Government)
3 + years of Meteorology or weather industry background

162

Analytics Consultant Resume Examples & Samples

· Serves as an analytical consultant for complex client deliveries/implementations
· Lead/execute analytical projects from solution design and data integrity evaluation through solution documentation and implementation
· Collaborate with internal and external clients to determine the appropriate analysis parameters and performance measures to be applied, as well as requirements for decision tool and strategy implementation and monitoring
· Interprets results of analyses, identifies trends and issues and recommends alternatives to support business objectives
· Support the development of new analytical and data products and services, and the enhancement of current processes and offerings
· Identifies and secures additional opportunities with clients
· Closely supports sales and marketing to understand client needs and provide viable analytical solutions
· Leads business development efforts and supports product development, management, and marketing initiatives to fuel revenue growth
· Executes projects in support of the direct revenue goal for Experian CIS, ensuring timely and high quality deliverables
· Work interactively with a team of highly trained and skilled consultants, project managers, statisticians, and analysts
· Develop and maintain internal and external relationships
· Support field sales force and marketing organization by providing analytical and consulting expertise
· Support the senior management of the department to meet the established department goals
· Participate in internally and externally sponsored speaking engagements

163

Workforce Analytics Consultant Resume Examples & Samples

Design models, tools for workforce planning and forecast to facilitate recruitment, development and retention of workforce excellence
Provide analysis and understanding of workforce data to facilitate strategic decision making, policy compliance and progress reporting of programs and initiatives designed to recruit, develop and retain World Cass workforce
Produce actionable metrics/dashboards/trend analysis from the HRIS platform as well as other HR and business systems that enable business decision making. Automates the development of actionable metrics/dashboards using existing tools
Research, compile and interpret analysis to provide insights and recommendations to customers. Participate in presentations, business meetings and analytical discussions to share insight
Collect reporting requirements
Prepare briefings for senior leadership
Document and maintain procedures
3-5 years of specialized, hands on experience in using Excel, SAS or other analytical tools to conduct statistical data analysis
Strong math (statistics) skills and excellent analytical aptitude
Ability to synthesize large amounts of data and identify key trends
Experienced in data visualization, manipulation, interpretation and storytelling including dashboard creation
Ability to present data in a logical concise matter
Experienced applying statistical methods
Extensive Excel skills –VBA
Relationship management, alliance building and/or partnership management experience with senior HR leaders and executives
Proven ability to build, manage and foster team-oriented environment
Exceptional communication skills (written and verbal) and interpersonal skills
Direct client support experience in a fast-paced environment
Effective multi-tasking skills

164

Advanced Analytics Consultant Resume Examples & Samples

A Master's degree in Chemistry or Civil engineering with a specialization in a technical field, from a leading university with excellent academic qualifications
Entrepreneurial mindset with strong client hands-on understanding of the core client challenges, analytics problems behind and translating this into actionable work plans for clients
Comprehensive practical knowledge in maintenance of manufacturing - ideally gained in a process industry (i.e. manufacturing/production of chemicals, food, steel, metals, mining, etc.)
Experience with process simulation tools such as AspenTec
Experience with statistical software packages (Minitab, Matlab Statistica, etc.)
Experience with analytics using R/Python/SAS
Outstanding analytical and conceptual skills
Initiative taking and creative, and able to work well both on your own and in a team
Confident and enthusiastic
Strong communication skills, especially around breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues, at all levels
Fluency in either French or Dutch, together with English

165

Advanced Analytics Consultant Resume Examples & Samples

Degree in a relevant field (e.g. Data Science or Engineering) plus ideally an advanced degree
3+ years of work experience required working in a data-centric business environment within the High Tech, Media & Telecom sector(s)
Strong consultative communication skills diagnosing TMT data to develop successful growth strategies with clients
Proficiency with Advanced Analytics tools such as: R, Python, SQL, Matlab, SAS, SPSS, Minitab, Hive, Hadoop, Pig, Tableau & Spotfire
Expertise or demonstrable knowledge in Big Data / Machine Learning / Data Science / IoT
Familiarity with social network data, dynamic data sets, Customer Lifecycle Management models, data lakes, subscription data, pricing practices & network analytics
Proven comfort and an intellectual curiosity for working with very large sets of data, pulling in relevant team members to address identified – and sometimes undiscovered – client needs

166

Data Analytics Consultant Resume Examples & Samples

Responsible to extract customer and billing datasets across the organization to support business and finance initiatives
Study and mine data sets in partnership with IT, Marketing, cross functional Finance teams, derive actionable insights and drive change
Provide in-depth analytical insights by developing or analyzing data models, assess the impacts, and partner with cross functional teams to safeguard Finance organizational impacts
Deep dive and research issues related Customer and Organizational impacts, perform root cause analysis, assess risk, and work across the teams to mitigate negative impacts to customers and/or organizational goals
Interface and lead efforts to drive synergies across teams by engaging and partnering on strategic initiatives
Data analysis duties involve turning large volumes of data into actionable insight for the business by

167

IT Data Analytics Consultant Resume Examples & Samples

Partner across Knowledge and Learning, Optum Tech, and Human Capital to drive reporting and analytics
BA / BS degree in IT, Training - related or HR field
4+ years of experience working with data, including analysis, interpretation, and reporting
Experience working effectively in a highly matrixed organization
Experience in the Training field or Human Capital

168

Advanced Analytics Consultant Resume Examples & Samples

PhD in a quantitative discipline (statistics, mathematics, or physics)
Significant experience with analytic/software (e.g., MATLAB, R) and SQL databases
Proven record of leadership in a work setting and/or through extracurricular activities

169

Analytics Consultant Resume Examples & Samples

Consulting services experience, working on data projects for internal or external clients
1+ years' experience with Power BI and SQL Server Reporting Services
2+ years’ experience with Digital Analytic tools (Google Analytics, Tableau, Omniture, or Adobe Site Catalyst)
5+ years’ experience as a business analyst or data analyst with analytical abilities
Engaged with business users to gather, document and prioritize data solution(s) related requirements
Experience with Excel and creating reports/dashboards using Excel Pivot tables
Experience working in a project team environment
Experience working with the Microsoft technology platform
Hadoop and MongoDB, a plus
R and Machine Learning, a plus

170

Business Analytics Consultant Resume Examples & Samples

recommending appropriate performance measures to be produced including lifts, efficiencies, confidence intervals, and other statistical metrics
analyzing and processing data, building and maintaining models and report templates, and developing dynamic, data driven solutions
providing business clients with detailed, actionable reports documenting the findings from data processing and data analysis
consulting on using business intelligence data for predictive analytics and facilitating implementation of new tools and data marts

171

Senior Data Analytics Consultant Resume Examples & Samples

Bachelor's Degree in a technical (computer science, statistics, math, etc.) or business discipline or equivalent technical expertise
Significant experience with data gathering, storing, and retrieval methods working with various data sources
Expertise in programming languages and databases: SQL, Python, VBA, Advanced Excel, Access
Experience with web scrapping, and statistical tools R or SAS. Experience with statistical techniques (e.g., regression analysis, cluster analysis, and decision trees)
Experience with visualization tools such as Tableau or QlikView
Experience with DB administration an advantage
Experience with Big Data and Hadoop platform an advantage

172

Business Analytics Consultant Resume Examples & Samples

Perform validation and quality control checks on developed logic
Coordinate across business and MIS team
Provide general production support

173

Data & Analytics Consultant Resume Examples & Samples

Take ownership of small to medium sized projects and deliver best-in-class solutions
Including: leading exploratory meetings to define requirements, writing project proposals or business cases, producing the plan of the project (contingencies, dependencies and critical paths), playing a leading role on delivery and publishing of results. Analysing, interpreting and modelling Equifax data
Undertaking entire generic product developments to the required quality standards and project timescales, covering all development stages, including sample design, performance analysis, and product design and marketing literature
Development and delivery of generic proof of concepts or business prototypes
Provision of expert guidance to Analysts, Senior Analysts, Principal Analysts and Associate Consultants to resolve technical challenges
Able to create, test and develop bureau based characteristics and demonstrate the value of these characteristics
Able to advise on improving Equifax’s data processing capabilities, including name and address matching, data loading, and cleansing algorithms
Identify areas that will benefit from data quality improvements and assessing the nature and detail of the work required
Constantly consider new improved ways of increasing Equifax product range by looking at new or underutilised data sources
Support all areas of the Equifax business with technical expertise, leading to constructive and effective working relationships with other relevant departments and business units
Performance management of subordinate(s), including responsibility for training and development plans. Conducting appraisals and carry out objective setting and reviews
Supervise and quality check project and analysis work undertaken by other team members, ensuring all work is undertaken to the required quality standards
Highly competent at developing statistical models, with detailed analytic & modelling experience; ideally leveraging CRA data assets
Successful design and development of risk or marketing scorecard development projects within a given industry sector
Exposure to varying markets, industries and or decision areas
Demonstrable proof of their ability to deliver results
Innovative mind-set, identifying opportunities that deliver incremental business benefit through leveraging data and analytics
Relevant degree in Mathematics, Statistics or another numerate subject, with a pass level 2:1 or above

174

Senior Analytics Consultant Resume Examples & Samples

Design & Implement the Data Analytics Strategy
Ability to create new or leverage existing analysis models and apply them to aligned program using business knowledge
Requires experience in querying and structuring relational databases using SQL, with at least 7 years of experience
Requires expertise in business intelligence platforms such as Qlik, Tableau or like platforms, with at least 7 years of experience
Requires extensive training and knowledge of data visualization best practices
Must have high-level knowledge of Excel, Word, and Power Point
Strong verbal and written communication with the ability to communicate within cross-functional/organizational teams
Ability to work independently, self-directed and solutions oriented
Strong time management skills and multi-tasking abilities. Ability to prioritize, organize and plan work
Effective problem-solving ability
Ability to integrate and analyze multiple sources of data
Ability to effectively analyze and interpret business level data
He or she should possess the sound organizational and planning skills with a solid an attention to detail

175

Analytics Consultant Resume Examples & Samples

Contribute to the achievement of Sales Effectiveness revenue targets by managing the effective and timely delivery of range, space and instore execution analyses across our FMCG/non-FMCG client base
Contribute to and participate in the development of Nielsen “Sales Activation” services
Develop internal and external training programs for a new and evolving suite of digital solutions
Provide commercial consultancy to help Nielsen clients understand and embed new instore activation processes
Ensure compliance to analytic practices and ensure that best practices are shared across the Assortment and Space Optimisation (ASO) and Nielsen Retail Execution (NRE) communities
Timely contribution to capacity management processes
Strong commercial awareness
An ability/passion for translating numbers into stories
Solid analytical/statistical expertise with sound appreciation of commercial issues
Demonstrated ability to make sound decisions and resolve problems while ensuring excellent client service
In-depth understanding of Market Research
Solid proficiency of decision making and problem resolution skills
Strong communication skills and fluency in English

176

Senior Analytics Consultant Resume Examples & Samples

Provide insightful, actionable analysis using in-depth knowledge of insurance and finance issues, knowing how to access and apply available data relevant to the issue, and having the ability and dedication to master software that requires training but not an advanced degree in statistics
Understand the financial drivers of business results and use large datasets to investigate and answer business questions
Use and learn a variety of tools and languages to achieve results (e.g. SAS, R, Tableau, SQL, Cloudera Hadoop), and identify additional languages and tools that can bring efficiencies or needed techniques to the team
Collaborate with others to improve the effectiveness of business decisions and work independently with limited oversight
Understand the business’ problems and propose custom solutions for analyzing and solving these problems
Degree in a quantitative field such as statistics, mathematics, computer science, economics, finance
3+ years of experience
Ability to analyze and interpret moderate to complex concepts
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
Experience in managing and manipulating large, complex datasets
Strong working knowledge of SQL and statistical software such as SAS or R

177

IT Data Analytics Consultant Resume Examples & Samples

Gather, analyze, and document business requirements
Conduct data profiling and gap analysis
Develop functional/technical specifications
Create context diagrams and flowcharts
Write user stories and acceptance criteria
Assist with test execution
Mentor junior analysts
Serve as subject matter expert for solution decisions
5+ years of experience in IT data analysis and design
5+ years of experience in all phases of Software Development Life Cycle (SDLC)
5+ years of experience translating business requirements into detailed system specifications
Experience in health care industry including clinical/pharma data
Experience working in an Agile environment or familiarity with Agile terminology
Experience in a large enterprise
Advanced SQL experience

178

IT Data Analytics Consultant Resume Examples & Samples

Develop, enhance, and integrate Data Warehouses/Data Marts and Business Intelligence Solutions
Test Data Warehouses/Data Marts
Deploy and maintain Data Warehouses/Data Marts
8+ years of ETL development experience
5+ years of hands-on experience with IBM DataStage
Hands on experience with Oracle Data Integrator (ODI)
Experience writing UNIX / Linux Shell scripting

179

Workforce Analytics Consultant Resume Examples & Samples

Bachelor's Degree in Business, Economics, Mathematics, Psychology (I/O Psychology, Sociology, Information Technology, or Hard Sciences with a focus on research and analysis
Experience using Data Visualization tools
Experience doing Data Analysis
Active TS/SCI security clearance required

180

Advanced Analytics Consultant Resume Examples & Samples

Proficiency in word processing, spreadsheet, and presentation creation tools, as well as Internet research tools
Survey Research experience in both quantitative and qualitative analysis
Experience with SPSS, SAS, R or other comparable software
Experience distilling large volumes of data into meaningful product

181

Advanced Analytics Consultant Resume Examples & Samples

Assist senior government executives in the development of the organizations advanced workforce analytics strategy and implementation
Develop predictive models, perform demand optimization, and/or conducting other modeling as needed using multiple statistical techniques to better assess and improve risks and performance
Perform data manipulation and analysis programming
Perform statistical analyses and data mining using large data sets

182

Analytics Consultant Resume Examples & Samples

You will collaborate with both internal and external vendors involved in project definition, design and planning
Collecting, analyzing and synthesizing complete information from disparate sources into a clear and compelling story
Building key success metrics to evaluate the impact of various projects, improvements and services that we provide
Presenting complex information to senior leadership in a concise and effective way using PowerPoint

183

Analytics Consultant Resume Examples & Samples

As described above, identifying issues, forming hypotheses, designing and conducting analyses, building models, and synthesizing conclusions into recommendations
Partner with teams across KIPP to flesh out high-impact strategies and analyses for challenges they present
Develop work-plans and execute against these plans with independence and ownership
Perform quantitative and qualitative analysis on core strategic issues and synthesize insights
Identify key data sources, and gather data through secondary research as needed
Create and deliver high-impact presentations and tools
Prioritize work on different team projects happening simultaneously
Generate creative, action-oriented insights and recommendations for both internal and external improvements
2-3 years of work experience in a role requiring analytical problem solving
Demonstrable passion and commitment to working in the field of urban education reform
A well-rounded inter-personal skill set with the capacity to build strong relationships and work in a team environment
Excellent ability to develop visual representations of data to help others easily understand key insights
Excellent quantitative analytical skills and creativity in problem solving
Strong communication skills, both verbal and written; and
A highly self-motivated work style and willingness to proactively take on leadership roles on projects

184

Senior Marketing Analytics Consultant Resume Examples & Samples

Very good English language skills (verbal & written)
Sound knowledge in all MS Office tools
Achievement orientation, creative thinking and enthusiasm
Expert knowledge of SAP HANA Modelling
Familiar with SAP Hybris Marketing Segmentation, Recommendation, Score Builder and Predictive Model Management
Familiar with SAP BO Analytics Clouds
Familiar with SAP S/4 HANA Query Designer and Builder
Expert knowledge of advanced HANA features/libraries, e.g. APL, PAL, HRF
Familiar with SAP Predictive Analytics
Familiar with the concept and creation of CDS views

185

Senior Analytics Consultant Resume Examples & Samples

Extracts data from various databases; performs exploratory data analysis, cleanses, massages, and aggregates data
Employs scaling & automation to data preparation techniques
Determines analytics approach to solve business problems; incorporates machine learning algorithms where appropriate
Connects insights to business decision making options and next steps testing or research opportunities
Understands business initiatives and serves as primary analytic resource in discussions with business partners to define business questions
Drives creation of final insights package and recommendations; leads presentation
Directs analytic component of implementation of insights into business processes and ensures appropriate testing takes place
Develops project proposals, gains stakeholder buy-in, and ensures timelines are met
Promotes and advocates value of advanced analytics to solve business problems within department

186

Senior Analytics Consultant Resume Examples & Samples

Business/market analysis – i.e. performance metrics, market analysis
Statistical modeling – i.e. segmentation and propensity modeling
Data discovery - i.e scoping new data sources, understanding and leveraging current data sources for revenue generation, cost savings and client insights
Distribution and marketing campaigns – i.e. pre-analysis, execution and post-analysis
Selected advanced analytics on distribution and client data (e.g., decision trees, near neighbor and association analysis)
Conduct analyses that identify/assess business opportunities and address key business challenges
Guide/develop predictive propensity and segmentation models using statistical techniques such as logistic regression, decision trees cluster/factor analysis, neural networks etc
Become expert knowledge of Sun Life customer data and be knowledgeable of external/ 3rd party macro-micro data
Identify, verify, evaluate and validate hidden patterns in customer and advisor data
Formulate and execute queries, with reports that clearly answer business questions related to cross-selling, up-selling, lifestage purchase patterns, etc
Design, develop and implement performance metrics to support campaign measurement, analysis, and reporting and measure effectiveness of [predictive modeling efforts
Support analytics for various advisor and client marketing campaigns
Support execution and rollout of enhanced business intelligence, including data visualization
Comply fully with all privacy, confidentiality, do not contact, SLF Code of Business Conduct, data security, and other requirements related to customer data
Maintain current knowledge on quantitative data mining tools and techniques

187

Data Analytics Consultant Resume Examples & Samples

Perform quality assessments and document findings
Provide input into domain quality roadmaps
Interpreting analytical data from multiple data sources and prepare findings document/presentation
Review project artifacts for adherence to best practices
Gather Voice of the customer feedback
Develop improvement plans based on analytical data and tie improvement plans with data points
Work within an agile environment and provide daily updates on progress
Understand opportunities for enhanced automation and continuous integration
Bachelors’ Degrees or equivalent experience
Experience with data, metrics and basic analysis (Data Analysis/Statistical analysis)
Experience with preparing presentations
Problem Solving/Investigative skills
Knowledge of SDLC - Agile and/or Waterfall Methodologies
Knowledge of Microsoft office products is required. Proficient in MS excel
Awareness of Six Sigma, Lean, ITIL methodology
Awareness of quality and/or testing
Awareness with ITSM processes (Incident, Problem, Change)
Awareness of tools like Service Now, Rally (CA Agile Central), HP ALM
Interpersonal skills - strong communication skills

188

IT Data Analytics Consultant Resume Examples & Samples

3+ years of experience in IT data analysis and design
3+ years of experience in all phases of Software Development Life Cycle (SDLC)
3+ years of experience translating business requirements into detailed system specifications

189

Business Intelligence & Analytics Consultant Resume Examples & Samples

Advance capabilities in business intelligence, advanced analytics, big data and digitization
Translate business requirements into functional and technical specifications
Lead design, development and test of new solutions
Collaborate with the service delivery teams on key issues, as well as transition projects into run and maintain
Assist in driving a self-service model and adoption
Guide and educate the business users with the goal of making sure the best solution is created for getting insights
Stay informed about Business Intelligence industry trends, technologies, and best practices that can be applied to achieve our business goals
7+ years’ experience of working with BI tools
3 years development/programming experience
Experience with industry BI/Reporting toolsets such as Tableau, SAP Business Objects
A good understanding of business processes, and transactional systems
Demonstrated knowledge of data modeling, database concepts and data management
Strong problem-solving, analytical, and investigative skills
Experience interacting with customers to determine requirements
Effective written, verbal, and presentation skills with the ability to collaborate with team members and business stakeholders globally
Must be comfortable with juggling multiple priorities with the ability to organize and complete numerous assignments through prioritization and time management to deliver projects on time with high quality
Creative at finding solutions for a transforming business’ needs
Detail-oriented individual with the ability to rapidly learn and take advantage of new concepts, business models, data models, and technologies
Working knowledge of agile development methodologies
Must be able to work independently, with moderate/limited supervision, or collaboratively within a team
Ability to be a self-starter that can provide leadership
Bachelor’s degree in business, information systems, computer science or related field
LI-DL1

190

Analytics Consultant Resume Examples & Samples

Basic skills in managing and manipulating large, complex datasets
Basic working knowledge of languages such as SQL and statistical software such as SAS or R
Basic skills in leveraging visualization tools such as Tableau
Ability to analyze and interpret low to moderate complexity concepts
Ability to provide written and oral interpretation of specialized terms and data, and ability to present this data to others with different levels of expertise
Analytic agility and intellectual curiosity
Basic understanding of the Insurance market place and economics (preferred)
Knowledge of Allstate data sources such as ADW and CDF (preferred)

191

Business Analytics Consultant Resume Examples & Samples

Conduct review of ‘business as usual’ communications for the Independent Risk Management and Risk Information Management, COO Management and Corporate Insurance
Prepare communications as defined by strategic plans developed by IRM Talent and Communications team
Provide support for IRM COO Communications including intranet, presentations, department overviews, etc
Support managers of strategic communications and talent, as appropriate
Adhoc responsibilities as required
Bachelor's degree in Communications, Business or Finance, required
Minimum of 2-5 years of progressive experience; financial services industry and/or communications experience preferred
Effectively manage multiple projects simultaneously
Strong verbal/written communication skills, excellent interpersonal skills and ability to work effectively with people in a wide range of positions
Strong skills with PowerPoint, Excel and Word

192

Senior Analytics Consultant Resume Examples & Samples

Proven analytics experience with Excel
Ability to lead and deliver conference calls with executives
A Bachelor's degree (BA, BS) required

193

Advanced Analytics Consultant Resume Examples & Samples

Collaborate and enable business stakeholders with self-service analytics
Conduct and support white-boarding sessions, workshops, design sessions, and project meetings as needed, playing a key role in client relations
Familiarity or strong desire to understand quantitative analysis techniques (e.g., predictive modeling, machine learning, segmentation, optimization, clustering, regression, artificial intelligence)
Quantitative background with 2-4 years of experience using data to solve problems and answer questions
Experience with ETL and manipulation of Data
Working knowledge of Python, R, SAS, or other advanced analytics platform
Some experience using Tableau, Qlik, or Power BI
Familiarity with advanced analytics techniques for unstructured data is a plus

194

Business Analytics Consultant Senior Resume Examples & Samples

Expert analytic skills including experimental research design, Can turn data and information into actionable insights, Can work effectively as a part of a team or independently
Expert at using BI analytic software, preferably SAS (Base, Stat and Graph)
Solid knowledge of financial service products, marketing and sales
Knowledge of the business of banking, Demonstrates integrity in action/words, Customer focused

195

IT Data Analytics Consultant Resume Examples & Samples

Design and help maintain Data Warehouse / Big data environments, capable of processing TB of data per day in real time, and scalable as needed to store PB and EB of data
Effectively work with business owners to gather requirements, gain deep understanding of use cases and business needs, and translate into design and architecture
Integrate big data components, libraries, and systems required to properly perform low - latency analysis of data, including but not limited to regression, machine learning
Create and implement an in-depth security plan for protecting data end to end, capable of handling modern best practice enterprise privacy and encryption needs
Create thorough documentation of all aspects of your design, design choices, trade - offs, and alternatives and back up your choices with thoughtful analysis
Measure system performance on a daily basis, suggest and perform modifications to improve desired behavior
Coordinate with team in US and Offshore for day to day activities
Work with Multiple stake holders to keep the projects on track
6+ years’ experience working in a high volume DataStage environment
Solid experience troubleshooting performance issues, SQL tuning
6 + year of experience on Teradata utilities
6+ years’ experience in applications systems analysis and / or development and / or support
6+ years’ experience with high level technical phases of applications systems analysis and programming activities
6+ years’ experience with MS Office (Outlook, Excel and Word)
Experience with any SSH client
Understanding of Datawarehousing concepts and Change data capture
Solid experience with complex shell scripting using Unix, and PERL and Crontab
Tivoli (TWS) or Autosys or equivalent job scheduling tool experience
3+ years experience in Hadoop, Hive, HBase, Spark,Talend, Sqoop,PIG Scripts,Shell script ,Python, Map reduce Framework
3+ years’ experience as a big data developer
Previous experience on working with Big Data Projects
5+ years of scripting experience with shell, Perl, Python, R, Scala, Pig, Oozie, Java or similar
5+ years of RDBMS experience with Teradata / Oracle / MySQL / MSSQL / NoSQL or similar
Excellent understanding of big data platform and architecture
Thorough and extensive knowledge of the Hadoop ecosystem and distributed computing, including but not limited to Hadoop, Hive, HBase, Flume,Spark,Talend, Sqoop,Map-Reduce framework
Experience writing and debugging several scripting languages (R, Python, Java, Pig, Oozie) for low-level processing, scheduling tasks, analytics, and similar
Experience tuning, benchmarking, and performing maintenance on large-scale enterprise systems, as well as smaller proof-of-concept type clusters
Knowledge of modern security best practices and techniques for encrypting data in transit and at rest, protecting data privacy without sacrificing performance or data analysis capabilities
Knowledge and experience interacting with application servers and web servers such as Nginx, Redis, IBM WebSphere, Tomcat, WebLogic, etc
Ability to visualize and map out all components of an architecture powerfully and succinctly to call out in executive level reports and presentations
Ability to demonstrate and convey complex ideas to executives and technical staff in plain language
Excellent interpersonal, oral, and written communication skills
Highly motivated and success-driven with a strong sense of ownership
Comfortable working in a fast-paced, Agile, competitive environment
Ability to work independently and in group environments
Ability to problem solve effectively and efficiently

196

Data Analytics Consultant Resume Examples & Samples

Collaborates with the team to create data analytics solutions to clients
Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize efficiency in client environment
Presents to team and clients on data analytics solutions
Applies in-depth or broad technical knowledge to manage client’s service across various technology areas or functions
Integrates technical expertise and business understanding to create superior solutions for clients
Locate and define new process improvement opportunities
Possess a Bachelor’s degree in Computer Science, Engineering or Statistics with a minimum of second class upper grade
A minimum of 5 credits in O'level subjects in not more than two sittings
Possession of CISA certification would be an added advantage
3 to 5 years data analytics skills, synthesizing information across multiple platforms, systems, and organizations
Experience in researching and manipulating complex and large data sets (both distributed and non-distributed)
Proficient in one or more programming languages such as Python or R
Experience working with database such as SQL Server or Oracle database
Experience with data visualization tools, such as Tableau/Qlikview/Power BI
Experience in statistical techniques such as Regression, Clustering & Time Series Forecasting
Experience with Hadoop will be an added advantage
Possesses strong analytical/logical thinking and communication skills

197

Data Analytics Consultant Resume Examples & Samples

Experience validating, cleansing, transforming, and modeling data in order to discover useful information and translate information through report creation using Tableau, Power BI, R, Excel, or other data visualization tools
Experience with data extraction, validation, mapping, report development and automation
Experience working with data warehouses or databases
Preferred exposure to data analytics tools such as SAS, MicroStrategy, Tableau, Qlikview, etc
Consulting experience is a plus

198

Business Analytics Consultant Resume Examples & Samples

Developing a strong, mutually beneficial relationship with the business stakeholders and internally within D3
Ensuring partnership through the development process to in order for successful transition of research to an operational state within the business unit
Strong communication skills - both written and oral
Intermediate Qualitative and Quantitative analytical skills, including knowledge of the use of data sources and applications to conduct research

199

Senior Analytics Consultant Resume Examples & Samples

Developing advanced cutting edge models to predict consumer intent, context
Dealing with large amounts of data through cloud based platforms
Leading brainstorming sessions on new modeling techniques, analysis that could be applied in a particular situation
Independent contributor as well as responsibility to manage delivery of a small offshore team
Creating world class cutting edge data products using advanced statistical techniques
Graduate degree in Engineering, Computer Science, Analytics from prestigious institutes
MBA from a top tier institute is a plus
4+ years of hands on experience in the analytics space, preferably as part of a consulting firm
Extensive hands on experience (4+ years) in Machine learning techniques and advanced statistical modeling such as Naïve Bayes, SVM, Random Forest, Gradient Boosting
Experience in deep learning is preferable
Experience in Big Data management, Hadoop, Hive, SCALA is a plus
3+ years of experience in Spark R, Python is highly preferable
Experience in the retail industry is preferable
Self-starter with a huge hunger to learn
Experience in ad-tech (ad-exchanges, DSPs, DMPs etc.) is a huge plus
Experience in proximity marketing, closed loop attribution is a plus
Experience in visualization tools such as Tableau/Qlikview is a plus

200

Analytics Consultant Resume Examples & Samples

Master's Degree in Actuarial Science, Mathematics, Statistics, Biostatistics, Epidemiology, Public Health, Biology, Biomedical Sciences or related fields
2 years' experience with data extraction and analysis
PhD in a related field

201

Business Analytics Consultant Senior Resume Examples & Samples

Compile monthly credit quality packages and supplemental reports
Regularly meet with LOB and Credit Risk executives to discuss reporting needs
Use Power1, CapitalStream, TOAD, Excel and/or Access to run queries and display summary and detail results for consumption
Reconcile data to general ledger and internal reporting
Strong knowledge of commercial lending portfolios
Proficiency with Microsoft Excel and Access (TOAD, OBIEE, Tableau a plus)

202

Business Analytics Consultant Resume Examples & Samples

Providing leadership to IRM processes to execute the BCM program
Communicating program requirements and processes, and providing support to the IRM processes
Develop, maintain and enhance IRM’s Business Impact Analysis, Business Continuity Plan, Mass notification testing and training, and IRM Third Party Management Office in areas concerning business continuity related to third parties
Coordinate IRM’s involvement during an enterprise crisis level event to include maintaining an updated IRM Loss of Pillar playbook, ensure IRM obligations to other Lines of Businesses are being met, track any internal issues/risks impacting IRM, support IRM’s Event Lead throughout the event

203

Senior Analytics Consultant Resume Examples & Samples

A minimum of 3 years experience developing or managing complex analytics projects, requiring change to both systems and business processes
Contagious passion about the role of data analytics in decision making
Experience researching, developing, and presenting cost/benefit analysis
Bachelor’s degree in relevant field
This role is not eligible for visa sponsorship
Experience leveraging cloud platforms such as AWS, Azure, Splunk, and/or Google for data science to optimize business processes and/or outcomes
Experience with, and/or market knowledge of, applied data mining technologies
An advanced degree (Masters or PhD) in CIS, Business Management, Data Mining, or equivalent field
Understanding grounded in experience with project, change, and deployment management methods

204

Big Data & Analytics Consultant Resume Examples & Samples

Solutions - Define and deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer Big Data/Analytics requirements, and proposing and delivering packaged offerings, and delivering custom solution engagements
Insights - Work with AWS engineering, support and business teams to convey partner and customer feedback as input to AWS technology roadmaps
3 years of experience in cloud
6+ years of experience with direct customer interaction
6+ years experience with Databases (SQL/NoSQL, MongoDB, Cassandra, MariaDB, PostgreSQL), Big Data open source tools (Hadoop, Spark), Big Data proprietary tools (Hortonworks, Claudera) programing experience (Python, R, Julia, Hive) BI tools (Tableau, Spotfire, Microstrategy, Cognos, etc)
Business level command of English language, reading, writing and speaking
Proven experience with key vertical markets like Financial Sector, Telecom, and Utilities
Highly technical and analytical, possessing 7 or more years of IT implementation/consulting experience
BS level degree required, computer science, business or math background preferred
Deep understanding of cloud computing technologies and workload transition challenges

205

Senior Data Analytics Consultant Resume Examples & Samples

Participation in internal and project related developments
Understanding business logic and background
Planning data structures, process flows and visualizations
Reviewing codes and calculation logic on multiple platforms
Testing and processing data sets, developing test cases with data science applied
Reviewing data quality and issues, compiling action plan for quality improvement
Analyzing outputs of automated outputs, identifying potential deficiencies, as well as providing recommendations for improvement
Supporting business development activities
At least 3-4 years experience in programming / software development / data mining / data warehousing / data science or related fields
Advanced knowledge of databases, SQL programming, Visual Basic or additional programing languages
Project management skills, managing work according to priorities

206

Junior Data Analytics Consultant Resume Examples & Samples

Participation in audit and advisory projects on field of data analytics and related activities
Supporting internal and project related developments
Understanding business requirements and logic
Understanding codes and calculation logic on multiple platforms
Preparing scripts and queries, automating standard processes
Testing and processing data sets
Supporting assessment and analyzing data flow between IT systems
Reviewing data quality and issues
Analyzing outputs of automated outputs, identifying potential deficiencies
University or College degree in mathematics, statistics, information technology or business informatics
At least 1-2 years experience in programming / software development / data mining / data warehousing / data science or related fields
Solid knowledge of databases, SQL, Visual Basic or additional programing languages
Strong numeric and logical skills
Precision
Working independently on assigned tasks with coordination of senior colleagues

207

Workforce Analytics Consultant Resume Examples & Samples

Relocation assistance is available
Our policy restricts consideration of applicants needing employment sponsorship (visas) to specialty occupations. Sponsorship will not be considered for this position
Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
Demonstrated experience providing customer-driven solutions, support or service
Demonstrated experience analyzing and synthesizing complex quantitative data into easy to understand and actionable recommendations in written and presentation form using data, graphics, and effective storytelling to communicate insights and implications for decision making
Demonstrated experience building predictive models utilizing advanced statistical analysis, including generalized linear models, decision trees, logistic and multivariate regression
Demonstrated experience in HR or Management consulting
Demonstrated experience utilizing inferential statistics techniques (such as regression, analysis of variance, cluster analysis, factor analysis, and multivariate statistical analysis) to understand and make interpretations based on data
Demonstrated experience with statistical and modeling software tools, such as SAS, SPSS or R
Demonstrated experience working with various business partners to define business problems and identify suitable research designs to generate data-driven solutions

208

Senior Business Analytics Consultant Resume Examples & Samples

Provide business analytics consulting services to employer’s clients in various industries
Formulate and apply data analysis and modeling develop and interpret business information to assist client’s management with decision making
Work with clients to define requirements, conduct discovery sessions and industry research, develop strategy and solutions to address business needs, and implement solutions
Analyze competitive market strategies through information analysis of related industries, products, and market trends
Perform ongoing competitive research
Support analysis, planning, implementation, and evaluation of all projects
Perform cost-benefit analysis and financial viability modeling
Perform financial modeling projections for business planning and forecasting
Build financial models around financial statements and validating model assumptions
Perform trend and data analytics of clients’ business performance
Formulate solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
Designs experiments, test hypotheses, and build models
Develop predictive optimization models to be utilized on client projects
Manage and conduct quantitative and qualitative benchmarking and primary and secondary analyses of large and complex data
Apply statistical techniques, quantitative analytics, forecasting/ predictive analytics, multivariate testing, and algorithms optimization
Prepare business analytics proposals and presentations
Communicate with other niche leaders to deliver the best solution for the clients. Assist in developing financial model with visual outputs and dynamic variables for a client's early-stage venture to enhance their go-to-market strategy and provide financial visibility
Provide analytics support in developing demand projections, Income Statement, Balance Sheet and Cash Flow projections for five years with terminal value calculations
Develop strategy and data analytics solutions that unlock value and enable sustainable growth for clients
Use Tableau, Microsoft Access, Microsoft Excel, and PowerPoint
Master or its foreign equivalent degree in Business Administration or Business Management
18 months experience in the job offered or in a related occupation as a Business Coordinator, Market Analyst, Operations Research Analyst
18 months experience in the following: Perform ongoing competitive research; Perform data analytics of business performance; Perform financial modeling projections for business planning and forecasting; and use Tableau, Microsoft Excel, Microsoft Access & PowerPoint. Any suitable combination of education, training or experience is acceptable

209

Business Analytics Consultant Resume Examples & Samples

Collaborating with business partners across Product & Merchandising capabilities to identify, collect and analyze requirements for Analytics and Reporting solutions
Creating and presenting Use Cases and Solution Designs to business and technology leaders
Contributing to the designs and plans to be delivered by engineering teams
Writing well-formed users stories in contribution to Scrum team backlogs within the Analytics and Reporting group
Providing a blend of business process and domain knowledge and technical awareness to solve problems and contribute to the team as needed by business partners in Advanced Analytics and Business Intelligence teams
Bring forth Collaborating with technology partners in other Nike Technology and CDT teams, to create and maintain aligned roadmaps for Analytics & BI technology and shared data
MS/BS in Computer Science, Analytics, Mathematics or a related quantitative field
1-4 years of experience with multiple aspects of Analytics projects, such as; Knowing the right questions to ask, identifying data sources, performing data analysis, developing queries, and using BI technologies
Experience with SQL and Relational databases
Preference for knowledge of Apparel/Footwear data models
Strong preference for experience in Tableau, Advanced MS-Excel, Cognos, and Agile and/or Scrum methodology

210

Business Intelligence & Analytics Consultant Resume Examples & Samples

Apply BI&ACC tools and frameworks to support solution design and development
Develop and execute project plans
Ability to drive insight by designing visualizations with logical and meaningful data flow
Experience with Tableau or other interactive data visualization tools with a focus on usability, performance, flexibility, testability, and standardization
An advanced degree is preferred
Contribute to practice development initiatives including culture building, internal community involvement, eminence, whitepapers, etc

211

Digital Analytics Consultant Resume Examples & Samples

Work with execution team to create a test plan and define requirements for campaigns
Manage communications as campaigns are being developed
Strong written and verbal communication/negotiation skills
Use data to identify opportunities
Digital marketing expertise
Google Analytics, Omniture is preferred
Experience working on personalization and/or optimization campaigns
Experience working with marketing campaign execution
Strong communicator , Positive attitude and Evangelist
Able to adapt to a constantly changing environment

212

Customer Analytics Consultant Resume Examples & Samples

Bachelor’s degree or equivalent
Minimum 2 years of the following
General Business experience
Performing data analysis in a business environment
Managing complex projects to completion
Making presentations to internal customers, including leadership teams
Resourcing, scraping, and integrating 3rd party data to drive enhanced business insights
Designing analytics models, containing appropriate pre-packaged (or coded) statistical functions with an eye toward reusability, agile deliverables, and multi-purposed application
Working knowledge with any of the following programs: MS Excel, MS Outlook, MS PowerPoint, or MS Word
Minimum 2 years of applied machine learning, preferred
Working experience with any of the following applications or programs: Azure Analytics, SAS, Business Objects, Data Visualization, Power BI, R, SPSS, SQL, preferred

213

Data Analytics Consultant Resume Examples & Samples

Bachelor’s Degree in computer science, information management, statistics, data science or a related field is required; advanced degree is desired
1+ years of proven working experience as a data analyst, experience working with healthcare analytics a plus
Technical experise regarding data models, database design and data mining techniques
Ability to concisely express complex data analytics algorithms and results in a business context
Proficiency in data analytics tools such as : R, Python, Alteryx, Tableau, SPSS, SAS, Power BI, Azure ML or comparable programs
Knowledge of and experience with SQL / NoSQL databases and ETL programming
Qualified individuals must either reside in or near the Metro Detroit area, or be willing to relocate for this opportunity

214

Analytics Consultant Resume Examples & Samples

Using various statistical and analytical tools including Excel, SAS (e.g. SAS STAT, SAS Macro), SQL, Oracle and/or Matlab to work with and manipulate large-scale, high-dimensional data sets
Developing data queries and building reports to translate analytical information into key insights
Using modeling tools such as SAS Enterprise Miner and/or SPSS
Building and maintaining large analytic data sets
Performing data mining, Statistical Analysis, and/or predictive modeling techniques, including multivariate statistical modeling, logistic regression and decision trees
Reporting and presenting predictive modeling results/findings to a broad audience including senior leadership; and
Collaborating with peers and cross-functional teams, and providing analytical support to a team of predictive modelers

215

Advanced Analytics Consultant Resume Examples & Samples

Bachelor degree in business, mathematics, information systems, statistics or related field
6 years technical experience using SQL to create reports or deliver data analysis
Experience implementing data initiatives including data modeling, data mapping, and creation of ETL processes
Analytical thinking, Communication for results, Conceptual thinking, Information seeking, Takes initiative, Results oriented, Team player

216

Analytics Consultant Resume Examples & Samples

Experience with relational databases/SQL – 5 years
Experience with analytic language (python, R, etc.) - 2 years
Experience with implementing machine learning techniques – 2 years
Teradata experience
Experience with associative data stores (for example, graph database, RDF, etc.) – 1 year
Natural language processing experience
Experience with bank/financial data
Knowledge of anti-money laundering detection

217

Digital Analytics Consultant Resume Examples & Samples

Conduct in depth analyses of eService performance across a variety of strategic online and mobile projects, and present recommendations to team members, product owners, and senior management
Collaborate with Digital product team and Claims subject matter experts and provide analytical expertise
Identify and analyze customer journeys across multiple digital service touch points to enhance and optimize customer experience and drive business results
Analyze the efficiency of customer actions and the results of optimization and testing efforts
Analyze variances in KPI’s, present analysis to stakeholders, and assist in the development and monitoring of performance versus plan
Analyze web site performance to gauge results of site enhancements and provide data-driven business insights
Extract data from various applications and systems, in particular large relational databases, manipulate, explore data using quantitative, statistical and visualization tools, including but not limited to Excel, SAS, SQL, Heap, and Adobe Analytics / Omniture
Mentor more junior team members
Bachelor's degree in business, economics, or other quantitative field
Excellent communication skills for conveying analysis and recommendations to a variety of audiences. Ability to develop presentations with proven data interpretation capabilities
Approximately 5+ years of related work experience; Digital analytics experience is preferred, and a strong interest in digital is necessary
Strong math, analytical, and problem-solving skills
Proficient in Excel, PowerPoint, and SAS/QL. Adobe Analytics and/or Heap experience helpful
Must have good planning, organizational, analytical, and decision-making skills
Must be able to define, shape, and drive projects to completion while effectively collaborating with others with little supervision
Enthusiastic and self-motivated with a desire to learn new tools and technologies

218

Senior Analytics Consultant Resume Examples & Samples

Connect with business leadership to understand what decisions they could make, and what processes could be improved, through analytics; painting a picture of what is possible
Connect Analytics team with the voice of the customer to effectively shape strategy and prioritize efforts
Bring forward market research and best practices relative to customer needs
Collaborate with developers to create or enhance existing products

219

Data Analytics Consultant Resume Examples & Samples

3+ years of experience performing data manipulation and analysis using ETL and visualization tools such as Qlikview, Tableau, Power Center, Alteryx, SSIS
1 or more years of experience in statistical programming using 1 or more languages: R, Python, SAS
Development experience with one or more programming languages (C#, Java) and database technologies (Teradata, SQL Server, etc.)
Knowledge of one or more ERP systems is a plus
Experience using machine learning and/or big data tools (Spark, Hive, Pig, etc.)

220

Data Analytics Consultant Resume Examples & Samples

Able to participate in special projects and provide help in identifying current business issues, starting or completing analysis, and/or suggesting recommendations/action items
Work across business units to develop, refine and scale data management and analytics procedures, systems, workflows, best practices and other issues
Translate business requirements and unstructured business issues into data analytic problems
Assist in making strategic data-related decisions by analyzing, manipulating, merging, internally managing, and reporting data
Perform data research, analysis, and logical data modeling to validate and document the usage of business data artifacts
Analyze data-related system integration opportunities and challenges in order to propose appropriate solutions
Troubleshoot data quality issues - identifying root cause/system & documentation/communication of resolution
Create and maintain excellent data documentation that allows the data to be understood (Metadata) and leveraged for additional use
Create best practices for testing/profiling of data to ensure proper operation and accuracy
Advise senior management in clear language about the implications of their research

221

Advanced Analytics Consultant Resume Examples & Samples

An MS degree, or directly relevant experience in a quantitative discipline, such as mathematics, computer science, engineering, political science, operations research, social science, statistics or other heavily quantitative field
1-3 years of data mining/analytics experience
Proven ability to present solutions using both technical and non-technical arguments for business interpretation of models and results
Knowledge of Healthcare Information Technology
Familiarity with clinical terms and/or clinical environments

222

Analytics Consultant Resume Examples & Samples

Conduct quantitative and statistical analyses that deliver valuable and actionable insights on clients' pharmaceutical claims data
Support internal Project and Account Managers with their analytic requests
Support Business Development during client sales opportunities
Collaborate internally with Sales and Project Management to prepare project estimates, timelines and proposals
Provide recommendations to clients for opportunities to increase and to improve business and/or reduce costs
Analyze, create, and produce specialized presentations and reports that are part of Analytic Services or Packages sold to clients
Identify additional analytic needs of pharmaceutical clients and scope work necessary to fulfill them
Develop and present ROI studies to measure effectiveness of our customer's solutions
Build quantifiable proof of program effectiveness through data analysis to optimize sales, profits, and meet other corporate objectives
Recommend and procure pharmaceutical data as needed to measure effects of our customer's programs on brand performance
Manage vendor relationships for supplemental data sources purchased to measure program and brand performance
Work with SQL programming environments, JMP, SSRS and MicroStrategy platforms
Develop new and innovative analytic products and services, as necessary
Ongoing development of ad-hoc and standardized, production-level analytics
Provide leadership and training to other team members on fundamental statistical techniques and applications
Any other tasks or projects as assigned by immediate supervisor
Bachelor's degree in Math, Statistics, Economics, Finance, Computer Science, Engineering or similar discipline
Must have 5+ years of client-facing experience
Excellent organizational, interpersonal, and oral/written communication skills
Demonstrated application of Analytical skills in using statistical packages such as SAS, SPSS, R, etc
Mid-level proficiency in SQL programming and common query optimization techniques for data extraction
Advanced Excel skills. (e.g., VLOOKUP, SUMIF, Macros)
Proven ability to work cross functionally with internal company stakeholders to ensure best outcome is achieved
Understanding of dimensional data modeling concepts, as well as data warehouse design highly desired
Experience designing and implementing enterprise business intelligence solutions using Microstrategy, Microsoft SSRS or similar
Knowledge of the pharmaceutical industry, direct marketing or finance highly desirable

223

Senior Analytics Consultant Resume Examples & Samples

Data Architecture – i.e. designing, deploying and managing how data systems are implemented within the organization
Advanced analytics on distribution and client data
Help design the target state of a variety of data systems and implement data governance policies, standards and models for the interactions between these systems
Support the development of the guidelines for how Sun Life data will be collected, stored, arranged and integrated
Guide/develop predictive models using statistical techniques such as logistic regression, decision trees cluster/factor analysis etc
Formulate and execute queries, with reports that clearly answer business questions related to cross-selling, up-selling, life stage purchase patterns, etc
Design, develop and implement performance metrics to support campaign measurement, analysis, and reporting and measure effectiveness of predictive modeling efforts

224

Advanced Analytics Consultant Resume Examples & Samples

Experience with quantitative analysis techniques (e.g., predictive modeling, machine learning, segmentation, optimization, clustering, regression, artificial intelligence)
Experience with Python, R, SAS, or other advanced analytics platform
Experience with Data Cleansing tools such as Python or SQL

225

Analytics Consultant Resume Examples & Samples

You will be undertaking statistical and econometric analyses
You will also have some responsibilities for data collection and data manipulation
You will be involve in development and delivery of client presentation material

226

Senior Analytics Consultant Resume Examples & Samples

Leverage machine learning and statistical modeling to improve customer acquisition and retention and segmentation
Develop customer segmentation and profiling based on exhibited behavior
Data preparation, selection, cleansing, etc. to support modeling initiatives
Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex business problems
Communicate results and findings to key decision makers
Emphasis is on end-to-end delivery of data driven analysis
Formulate analytical findings into concise and easy to consume presentations
Use variety of analytical tools (SAS, SQL, Python, R, etc.) to carry out analysis
Managing/guiding junior resources in dual-shore model
Master’s or Bachelor degree in computer science, computer engineering, math, operation research, statistics, economics or related field from top-tier universities with strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
Strong understanding of machine learning techniques and algorithms (Clustering, Decision Forests, Neural Nets, Regression etc.) and hands-on experience in implementing them
Extensive background in data mining and predictive modeling
At least 2 years of experience with statistical softwares like R, Python ML packages, SAS
Hands-on experience of working with SAS/SQL for data manipulation
2-5 years of consulting, analytics delivery experience
Very strong analytical skills with the demonstrated ability to research and make decisions based on the data-to-day and complex customer problems required

227

Senior Analytics Consultant Resume Examples & Samples

Contribute to how analytics approach is structured for specifications of analysis
Working with data, including managing large number of data sources, analyzing data quality, and proactively working with client’s data/IT teams to resolve issues
Use variety of analytical tools (SAS, SQL, CART, etc.) to carry out analysis
Master’s or Bachelor degree in engineering, math, statistics, economics or related field from top-tier universities with strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
Hands-on experience of working with SQL/SAS for data manipulation

228

Business Analytics Consultant Resume Examples & Samples

Bachelor’s Degree in Business, Healthcare Management or related field required. Master Degree is strongly preferred
Three to five year’s planning/analytics experience, preferably in a health care setting
Proven excellent verbal and written communication skills
Advanced research, statistical and financial analysis background
Experience and knowledge in backend data systems, databases, and database architecture
Experience with data visualization tools such as Tableau, Qlikview, or Power BI
Advanced computer skills in spreadsheet, database and word processing
Exceptional interpersonal skills and ability interpret and effectively communicate analytic findings to boards, executive and senior management teams, physicians, department management and staff using clear and concise methods and presentation media
Advance knowledge of industry standards and practices in descriptive/predictive analytics, modeling and reporting concepts
Knowledge of advanced statistical analysis including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises
Meets Trinity Health's Guiding Behaviors and Caring Standards including interpersonal communication and professional conduct expectations
Serves in lead planning analytics role and collaborates closely with the Data, Analytics, and Informatics team to ensure adequate planning analytical support is provided for preparation of market analysis reports, volume forecasts, service line or initiative performance, data analytics or other decision support needs
Works closely with the Data, Analytics, and Informatics team to continuously refine and improve reporting performance for business, clinical, and financial metrics for tracking progress on strategic initiatives
In collaboration with SAMG and the Health Alliance, prepares and interprets system-wide provider gap analysis reports. Provides consultation on provider needs with focus on gaps, trending and community need. Presents findings and recommendations to executive leadership
Supports the business scenario modeling process with market analysis, performance and data analytics, forecasting and seeks additional data resources to fully vet business opportunities
Develops forecasts for profitable growth for all service lines, SAHS entities, Regional Health Ministries (RHMs), Saint Alphonsus Medical Group (SAMG) and the Health Alliance
Prepares market assessments, demographic analysis, current and future state for new markets as requested
Researches analytical methods, models, and software tools to develop new approaches for the statistical and computational analysis of various data sets
May be assigned to strategically manage portfolio(s) of designated system-wide programs and initiatives
Using data and analytical models to guide discussions, serves as a strategic advisor to Service Line Leaders and Accountable Executives in the successful growth and evolution of service lines and strategic initiatives
Provides direction and oversight for the completion of system-level annual reports. (State Licensure, AHA, etc)
Collaborates with the Vice President of Strategic Planning to establish and communicate a well-documented planning cycle for the SAHS Strategic Planning and the Strategic Financial Planning process
Conducts current and future market assessments including analytics for volume changes, population demographics, payment reform, employer and payor profiles, physician gap analysis and forecasting, competitive analysis, technology needs and regulatory changes
Develops growth projections and volume tracking in support of the strategic financial planning and strategic management processes
Monitors and evaluates market changes and presents business models to address external forces such as payment reform, technology trends, physician profiles, competition, regulation, to name a few
Develops scorecards and BI dashboards, population health analyses, benchmarking studies and other clinical and financial research and provides value added analyses and summaries
Recommends and executes financial and clinical metrics for the strategic plan dashboard reporting process and for business planning initiatives and assists in the monitoring of meeting established metrics
Consults with Service Line Directors to recommend and define, develop and report financial and clinical metrics for annual strategic plans and SWOT growth initiatives
On behalf of the System, manages vendor relationships with The Advisory Board, Truven Health Market Expert, and other planning vendors. This includes maintenance of current contracts, review of contract terms and account executive relationships. Makes recommendations to Vice President on how to best leverage tools and resources for system-wide benefit
Supports the Accountable Executive (The Alliance and SAMG) in preparation of the ambulatory strategies for the health system. This may require data analytics to support the business development function, volume forecasts, projections and market trending reports to support growth initiatives

229

Analytics Consultant Resume Examples & Samples

Collaborate with key internal and external stakeholders to gather and analyze needs and requirements
Construct and deliver written reports of the analytic findings in a variety of formats (reports, PPT, including visualization of data and findings, formulate recommendations, and effectively present the results to with non-analytic audiences
Tailor the analytic solution to the specific client need and constraints of delivery timelines

230

Analytics Consultant Resume Examples & Samples

Develop and maintain large scale analytics to enable Humana strategy and overall operational success
Work with large scale structured/unstructured data from new data sources and fuse them with other enterprise data sources (such as calls, IVR, transfers, demographics) to predict, quantify, and/or forecast various business metrics
Collaborate with IT, operation and business teams in implementing advanced analytics in ongoing business processes
Identify and recommend new data sources and tools that will maximize analytic output and conclusions
Create customized reports or analysis and communicate the findings and recommendations with business partners and/or senior leaders
Promote learning and facilitate the development of team members
Bachelor’s Degree in Computer Science, Informatics, Statistics or a related field
2+ years’ experience with data mining using big data technologies such as Hive or Hadoop
Experience with predictive modeling techniques and programming languages such as Java, Python and/or R
Experience building and maintaining large and dynamic analytic data sets and understanding of analytic appliances such as Oracle, SQL Server, Netezza, etc
Proven ability to effectively communicate analytics finding to broad audience, including senior leadership
Ability to work efficiently in teams and/or as an individual
Master’s Degree in Computer Science, Informatics, Statistics or a related field
Experience with large scale dynamic call center data
Experience with natural language processing and text mining
Data visualization experience using Tableau
Experience with SAS and SAS Enterprise Miner

231

Senior Data Analytics Consultant Resume Examples & Samples

Work directly with plan Chief Medical Officer, Director of Project Management & Analytics, Senior Quality Director, Health Services Directors, and Chief Financial Officer
Assesses and interprets stakeholder needs and requirements
Working with complex raw healthcare claims and clinical data (e.g., extracting data from SQL, Oracle and other environments), recognizing data patterns and potential issues, making recommendations (e.g., design, create and implement quality improvement projects)
Assume responsibility for data integrity among various internal and external sources
Performing data extraction, aggregation, and quality checking from multiple sources and tables in support of validation and measurement, trend identification, root cause analysis, forecasting and presenting information for operational and strategic business activities, for quality improvement and medical expense reduction initiatives, and for practice transformation
Performing statistical analyses to determine effectiveness of clinical programs (e.g., pre-post analysis, clinical trial results)
Developing scalable reporting processes and querying data sources to conduct and distribute regular and ad hoc analyses
Communicating findings to cross-functional teams and stakeholders in the enterprise, including management and executive team
Researching new approaches and methods to improve the quality and cost of care
Participate in Quality Improvement work groups
Develop detailed understanding of state specific requirements, requests and pay for performance structures to create processes that satisfy regulatory requirements and to help drive quality improvement programs to a success
Partnering with quality management, disease management, service coordination, and other health plan managers around the trends we are seeing to re-educate, re-train, coach and counsel staff when indicated
Bachelor's degree in Economics, Business, Statistics, or Health Administration or related field (master’s preferred)
2+ years' of analysis and reporting experience
2+ years' Managed care or healthcare experience
Experience working in an Enterprise Data Warehouse environment
Multiple years of experience with either SAS or Enterprise Business Intelligence tools (SAP Business Objects, IBM Cognos, Oracle Hyperion System, Oracle BI)
Experience using SAS or SQL query techniques to access relational databases
Proficient with MS Excel, Word and PowerPoint, Access; creating Acrobat (PDF) reports
5+ years' of analysis and reporting experience
1+ year of Quality Improvement, quality management experience
Solid understanding of the drivers of medical costs, and experience recommending medical cost improvements and alternative pricing strategies
Able to work in Sugar Land, Texas office
4+ years' of work experience in a corporate setting
Strong verbal and written communication skills, including the ability to present ideas and concepts effectively
Strong interpersonal skills and ability to interact collaboratively with internal customers across multiple departments and business segments
Self-motivated to manage multiple complex projects and multiple priorities simultaneously

232

Business Analytics Consultant Senior Resume Examples & Samples

Analyze moderate to complex business requirements
Develop rules logic and workflows
Deploy logic to Test, QA, and Production environments
Meet target dates across multiple projects

233

Data Analytics Consultant Resume Examples & Samples

Builds dashboards (using excel and/or Proprietary Software) and prepares reports for business partners and/or Management
Identifies opportunities to leverage new IT solutions in support of analytics and reporting objectives
Receives a moderate level of guidance and direction; provides informal guidance to new team members
Actively partner with LTC Hub & Spoke Data & Analytics team and may partner with other analytical teams across the organization and/or participate in special projects
Champion the adoption and continued use of new data consumption tools (e.g. Tableau)
Responds to and fulfills ad hoc data requests
Strong business acumen including technical knowledge of statistical, financial, and economic concepts, which may include a specialty area
Solid knowledge of applications such as Microsoft Office Suite, Tableau and other business related software
Strong analytical and problem solving skills with the ability to effectively resolve moderately complex situations and issues. Demonstrates attention to detail
Strong interpersonal, communication, and presentation skills. Ability to effectively interact with all levels of CNA’s internal and external business partners
Ability to work independently, as well as in a team, manage time and resources to accomplish multiple tasks and meet deadlines
Solid project management skills and strong organizational skills with the ability to prioritize and manage work deliverables/projects effectively
Bachelor's Degree in Business, Economics, Mathematics, Finance, Statistics, Actuarial Science or related field

234

Senior Analytics Consultant Resume Examples & Samples

Participate in design of analysis, modeling approach and model documentation with managers and modelers
Use variety of analytical tools (SAS, CART, SPSS etc.) and techniques (regression, logistic, GLM, decision trees, machine learning, AVM, artificial intelligence etc.) to carry out analysis and drive conclusions
Reformulate highly technical information into concise, understandable terms for presentation and documentation
2-4 years of experience in financial services or management consulting
Strong AVM (automated valuation model) model development skills
Model documentation or technical writing experience
Strong analytical skills with the demonstrated ability to conduct independent research and work in a team
The work will involve direct interaction with clients, client handling experience a plus

235

Senior Analytics Consultant Resume Examples & Samples

2-4 years of experience in financial services or management consulting with focused on FS experience
Strong model development skills using various techniques. Risk / loss forecasting modeling experience a plus
Model documentation or technical writing experience for Basel, CCAR, CECL requirements and models

236

Senior Analytics Consultant Resume Examples & Samples

Use variety of analytical tools (SAS, CART, SPSS, Python etc.) and techniques (regression, logistic, GLM, decision trees, machine learning, artificial intelligence etc.) to carry out analysis and drive conclusions
Hands on experience of handling large data sets and use of SQL / SAS / R / Python / Hive for data analysis
Experience of using a variety of analytical tools (SAS, CART, SPSS, Python etc.) and techniques (regression, logistic, GLM, decision trees, machine learning, artificial intelligence etc.)
Experience of working in financial services and risk analytics domain, a plus

237

GBS Consulting By Degrees Analytics Consultant Resume Examples & Samples

Willingness to live/commute or relocate within a reasonable commuting distance (generally 20 miles or less) of one of the following cities: Boston (MA), Chicago (IL), Columbus (OH)
Limited opportunities are available in the following geographies: Atlanta (GA), Philadelphia (PA), New York (NY) and metro area, and San Francisco (CA)
Willingness to live/commute or relocate within a reasonable commuting distance (generally 20 miles or less) of one of the following cities: Atlanta (GA), Boston (MA), Chicago (IL), Columbus (OH),Philadelphia (PA), New York (NY) and metro area, and San Francisco (CA)

238

Customer Analytics Consultant Resume Examples & Samples

Working through the phases of project
Define data requirements for creating a model and understand the business problem
Clean, aggregate, analyze, interpret data and carry out quality analysis of it
Set up data for modelling (application of statistical methods & machine learning)
Development of statistical & machine learning models
Working along with the team and consultants/manager
Looking for insight and translate these insights into actionable outputs
Visualise the analytics outputs in an appealing & simple manner via dashboards, presentations etc
Supporting development and maintenance of proprietary customer analytics capabilities
1-2 years of work experience in consulting/analytics with reputed organization is desirable
Have an understanding of econometric/statistical and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as SAS, R
Desirable hands on experience in using machine learning algorithms for insight generation
Proficient in Excel, MS word, Powerpoint, etc
Tableau, Qlik experience is a plus
Good team player
Attention to details
Master degree in Statistics/Econometrics/ Computer Science from reputed institute (required)
M.Phil/Ph.D in statistics/econometrics/Computer Science or related field (preferred)

239

Data Analytics Consultant Resume Examples & Samples

Development of KPI-driven digital marketing concepts based on client business requirements
Conceptualization and implementation of reporting dashboards
Collaboration with various functional areas such as PPC, display, client consulting, etc
Holistic data analysis and generation of actionable insights for client
Customer journey and attribution modeling consulting
Bachelor or Master Degree in business administration, media or similar
Ideally, first professional/agency experience in relevant areas such as paid media, web analysis, customer journey or tag management, data analysis, reporting, development of data-based optimization concepts, attribution modeling, conversion rate optimization
Good knowledge of at least one of the following tools: Google Analytics, Adobe Analytics, Google Tag Manager, Webtrekk, DoubleClick (DDM)
Advanced proficiency in Microsoft Office, especially Excel and PowerPoint. VBA/macro skills are a nice to have
Organizational skills and ability to handle multiple projects at the same time
Excellent German and good English skills in spoken and written
Programming language knowledge is not a must-have, but definitely most welcome

240

Analytics Consultant Resume Examples & Samples

Adapting existing methods and procedures to create possible alternative solutions to moderately complex problems
Understanding the strategic direction set by senior management as it relates to team goals
Project-based analytics including but not limited to: Marketing Mix Modelling, Multi-Channel Attribution, Digital Analytics, Pricing and Promotion, Demand Forecasting, Customer Segmentation, Customer Analytic Record, Next Best Action

241

Data & Analytics Consultant Resume Examples & Samples

Leads and identifies short- and long-range data and analytics objectives related to targeted business objectives. Measures the effectiveness of the data and analytics strategies in driving performance improvement
Creates models and develops data warehouse programs of high complexity ensuring business needs are met, including understanding ERIE's demographics and potential opportunities. Analyzes metrics and supports audit of source data
Leads the planning, development, modeling, implementation and reporting of all related data
Applies knowledge of programming languages and software tools to prepare ad hoc and re-occurring reports. Analyzes the financial implications of business decisions and identifies approaches to resolve business problems. Monitors and reports on progress and results as requested
Analyzes current landscape and trends to assist in planning. Recommends changes to business strategies and tactics as appropriate
Creates files that include topics related to the industry, competitors, products, service innovations and trends. Works with others, including management, to develop, communicate and enforce standards for proper documentation and organization of electronic files and data deliverables
Develops partnerships across the organization to define and implement experimental research designs and quantitative techniques using analytical tools. Serves as liaison to internal and external suppliers of customer and Agent data, and competitor insights. Serves as key contact with research suppliers
Maintains current knowledge of data analysis tools and trends. Identifies gaps in current services, proposes solutions and implements changes as appropriate. Identifies process improvements
Mentors less experienced staff
Conducts special research studies as directed
Use advanced analytical/statistical/modeling, machine learning, and data transformation techniques, in order to identify the optimal actions to take – and when – throughout a customer’s lifecycle thereby improving the customer journey resulting in greater brand loyalty, improved retention, and increased revenue and profitability
Independently conduct all aspects, end-to-end, of predictive and/or segmentation model creation including model design, computer programming, data extraction, model estimation, model validation, model documentation, implementation, and monitoring
Deliver high performing, fully functioning models with high quality written model documentation
Understand and be able to clearly communicate with senior management and business partners the core options and tradeoffs in selecting a model development sample and/or approach, and be able to independently source, investigate, prepare, transform and otherwise prepare the data for model development and validation
Perform rigorous model evaluation, design hypothesis tests, participate in test execution, and conduct result evaluation and presentation
Analyze customer interaction and account usage data to identify potential marketing triggers and potential for new marketing or customer strategies and/or programs
Work with a cross-functional team to develop segment specific customer profiles as well as product, offer and messaging strategies
Proactively and routinely develop and foster relationships with other teams, functions, business partners and subject matter experts in order to source, discover, develop and implement actionable, high-impact data analytics and modeling solutions
Participate as needed in the technical build-out and/or support of databases, query tools, reporting tools, BI tools, dashboards, etc. that enable analysis, modeling, and/or advanced data visualization
Research and evaluate internal and external data sources for their potential to increase the accuracy, performance and value of various predictive models, segmentation, customer profiling, and marketing or customer-related strategies
Generate and test ideas to use new modeling and analytical methodologies to improve marketing and customer-related strategies
Perform a wide variety of statistical model development, evaluation, and analytical projects and translate the results / findings into meaningful, impactful, and actionable conclusions and recommendations to affect business strategy
Apply knowledge of programming languages, statistical and analytical methods/techniques, and software tools in order to prepare ad hoc and re-occurring reports. Analyze the financial implications of business decisions and identifies approaches to resolve business problems. Monitor and report on progress and results as requested
Conduct special research and/or analytical studies as directed
5+ years hands-on experience in building predictive models (logistic, linear, decision tree, chaid, cluster, neural network) utilizing SAS Stat, R, SPSS, Python (utilization of SAS Stat is preferred) within the financial services industry
Hands-on experience in SQL and SAS programming and SAS statistical procedures (Reg, GLM, Univariate, Ttest, ANOVA, Means)
Knowledge and experience in other statistical and analytical applications such as Minitab, SPSS, R, Python
Hands-on experience with various modeling and analytical techniques such as Linear / Logistic / Stepwise / Survival Analysis / T-Test / Time Series / ANOVA / Correlations / Clustering / Decision Tree / CHAID / Neural Network / Machine Learning / Chi-Sq
Hands-on experience with Experimental Design (pre-and post-test, quasi-experiments, factorial designs, control groups, true experiments)
Deep understanding of various modeling and analytical terms and concepts such as incremental / lift / K-S / R-square / weighting / indexing / gains chart / bi-variates / correlation / colinearity / covariance / design-of-experiment / sample size / bootstrapping
Experience in data mining, extracting data from various relational databases (SQL Server, Oracle, DB2), and investigating, cleansing, prepping and transforming data for model development
Familiarity with visual analytics (Tableau)
Ability to analyze and synthesize complex data into clear action-oriented recommendations for the business
Ability to communicate and present – both verbally and in writing – analytical insights clearly and concisely to senior management and other individuals from diverse backgrounds

242

Microsoft Analytics Consultant Resume Examples & Samples

Deliver complex high quality solutions to clients in response to varying business requirements
Educate a project team on an Analytics Software Implementation/Development Lifecycle
Evangelize PowerBI, Cortana Intelligence Suite, Analytics Platform System (APS)
Deliver and develop PowerBI(Cloud and Desktop), SQL Server Analytics Platform Solutions and other Microsoft BI products (SSIS and SSRS)
Previous experience with implementing custom applications in .NET / SQL Server environment pot .NET 3.5
Utilize and lead workshops to assist clients in implementing Analytics solutions
Be a member of a team using an agile methodology and deliver Analytics Implementations
At least 2 years experience in configuration and development of Sql Server Analysis Services, SSRS, SSI
At least 2 years experience in SQL Server infrastructure optimization
At least 1 year experience in PowerBI or Analytics Platform System (APS)
At least 2 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 1 year experience in application development of .NET / SQL Server business solutions
At least 1 year experience in Azure applications
At least 1 year experience in Azure Active Directory integration
At least 1 year experience in Office 365 integration
At least 5 years experience in SQL Server Integration Services (SSIS) or SQL Server Reporting Services (SSRS)
At least 5 years experience in extending Analytics solutions with other Microsoft technologies
At least 1 year experience in Azure Machine learning
At least 1 year experience with regression analysis and statistical modelling in Microsoft

243

Data & Analytics Consultant Resume Examples & Samples

Expert experience with Domo or other reporting visualization tools (Tableau, Qlik)
Responsible for strategically planning and promoting the continual innovation and development of data collection, reporting, and insights for the Broadband team
Assist with defining, communicating and enforcing analytics standards, policies and data governance
Able to consistently present a positive, flexible attitude and contribute to a fast-paced, high-visibility team environment

244

Analytics Consultant Resume Examples & Samples

At least 1 of the following Analytic/Analysis skills: Regression Analysis, Simulation, Optimization or Forecasting
Experience supporting the Business
Strong Documentation skills for Forecast Development
Proficient with Statistical Software
3 years of SAS and/or SQL Server Integration Services experience
MS in Statistics, Analytics, Operations Research, Applied Mathematics
Econometrics Analysis ie-economic indicators, economic analysis
Tableau - implementations or using for reports/analytics
CLIENT'S FULL JOB DESCRIPTION BELOW-
PLEASE SEND TO CANDIDATES ONCE APPROVED BY AM FOR SUBMITTAL-Have the candidate review the full job description, ask if they can retool their resume to reflect their most recent and relevant experience for this Analytics Consultant/Forecast Analyst role
Bachelors with 6+ years reporting and analytical experience or a minimum of a Master’s degree in an analytical field such as applied mathematics, statistics, engineering, physics, accounting, finance, economics, operations research, or computer sciences with 3+ years directly applicable work experience
Strong communication and presentation skills; able to communicate analytical data effectively to all levels of the organization either in person, over the phone, or in writing
Demonstrative knowledge of forecasting methods, forecast accuracy metrics, and associated statistics
Demonstrated application of advanced problem solving and analytical skills
Ability to balance and prioritize responsibilities to manage tight deadlines
Able to multitask and work in a constantly changing, fast-paced environment
Ability to independently organize work, compile research, perform in-depth analysis on critical operational data, document and/or report concisely and accurately, and is thorough in carrying out the responsibilities of the job
Proficiency with Microsoft's suite of Office products: Word, Excel, Access, PowerPoint, Visio
Proficiency in statistical software such as R, S-plus, SAS, Minitab, etc
A proven ability to work cross functionally with stakeholders to ensure best outcome is achieved
Highly self-motivated with a passion for driving results and achieving success
Mortgage Industry Experience
MS in Statistics, Analytics, Operations Research, Applied Mathematics or equivalent

245

Business Analytics Consultant Senior Resume Examples & Samples

Manages initiatives that support cultural transformation and strategic objectives of the Independent Risk Management (IRM) organization
Facilitates the interaction between IRM and the businesses and identifies and understands risks undertaken by the businesses
Coordinates risk management initiatives across the organization and ensure appropriate level of business involvement in these initiatives
Oversees the progress of assignments; ensures activities are consistent with the objectives, provides status reports and elevate concerns when necessary
Develops and maintains execution plan and implementation schedule; controls the planning, organization, and implementation of activities to assure timely completion
Analyzes and ensures issues and concerns are addressed in a timely manner
Initiates risk dialogue among members of IRM, business management teams, and business risk officer
Ensures tools, reporting, and processes are understood, used, and effective in supporting business activities
Develops training and communication strategies to facilitate effective implementation

246

Analytics Consultant Resume Examples & Samples

Consistently build depth and breadth in technology expertise in Business Intelligence (BI) and Predictive analytics (PA) via mandated training, access to enterprise cutting edge engagements and working with Accenture client teams
Assist sales team with responses to RFI/RFPs and develop and presenting demonstrable material to support these efforts
Provide expertise in BI and PA technology in combination with industry standard statistical techniques to implement solutions to meet customer needs, develop tools and assets to improve delivery and drive innovation in digital analytics
Evangelist and advocate in adoption of leading technologies / concepts in digital analytics
Contribute to building and growing the Analytics practice within the Products Operating group
Minimum 4 years of experience in Business Intelligence consulting
Candidates with more years of experience can be considered for Manager level
At least 2 Business Intelligence or Predictive Analytics implementation experience with MNCs involving global roll-outs and C-Suite interaction
Project experience with 1 or more of the following industries will be advantageous
Ability to refine industry business processes to drive Business Analytics and predictive applications
Proficiency in capturing customer requirements and translating into BI / PA solution to demonstrate Digital capabilities for prospective clients
Ability to design overall data architecture and solution for BI / PA applications
Ability to share domain expertise and assist customers to adopt recommended options
Capability to model solutions and deliver executive-level presentations / demos (both written and oral) to help drive compelling business results for our clients
Proficiency / expertise in leading BI and PA technologies. E.g.Big Data – Hadoop, Hive, Map Reduce, Traditional BI – SAP Business Objects, IBM Cognos, Oracle Business Intelligence Enterprise Edition and New Data Visualisation – Tableau, Qlik

247

Analytics Consultant Resume Examples & Samples

1) Analytics/Statistics experiences - they are a SQL environment so this person needs to understand how to pull and manipulate data from SQL databases as well as have experience using any of the following tools - SAS, SPSS, R, and SSRS
2) Client Engagement - someone who can help present and drive business development both internally and externally
3) Industry experience - someone who has and analytics and statistics experience

248

Senior Analytics Consultant Resume Examples & Samples

Business requirement gathering through interviews with senior client stakeholders
Develop KPI frameworks to gather deep insights into performance of various business and products
Infer and glean key takeaways to identify opportunities to improve product performance
Create front end Tableau based dashboards to visualize developed KPI frameworks to gain line of sight into product health
Creating world class cutting edge data products using advanced statistical techniques and visualization
Extensive hands on experience (4+ years) in SQL, Tableau, Qlikview and other dashboarding tools as well as Google cloud tools such as Big Query
Experience in data mining, data analysis using SQL, SAS, Python etc
Experience in data ingestion tools, extraction through APIs, Python etc
Experience in Spark R and pyspark is a plus
Experience in the retail or high tech industry is preferable

249

Business Analytics Consultant Senior Resume Examples & Samples

Strong technical skills in data analysis, statistics, data warehousing and automation
Strong programming skills (SQL/Python/R/Scala)
Practical experience with data science techniques and machine learning algorithms
Practical experience with the Hadoop ecosystem (Impala/Hive/Hbase, etc.). Spark and streaming experience is a plus
Knowledge of visualization tools (Tableau, Jupyter, etc.)
Knowledge of banking industry

250

Analytics Consultant Resume Examples & Samples

University degree with studies in e.g. Data Science, Statistics, Econometrics or Operations Research
Experience in information management, BI and visualization or advanced analytics tools (e.g. ETL/DI tools, visualization tools, statistics and data science tools)
Programming skills in e.g. Python, R, Scala, SQL or SAS
Fluent language skills in Finnish and English, both oral and written

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