Analytics Senior Consultant Resume Sample

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Edna Cole
47489 Precious Hollow,  Los Angeles,  CA
+1 (555) 571 4643

Work Experience


Data Analytics Senior Consultant
10/2016 - PRESENT
San Francisco, CA
  • Strong interpersonal, communication and presentation skills. Ability to effectively interact with all levels of CNA’s internal and external business partners
  • Serve as an integrator between business needs and technology solutions, helping to create technology solutions to meet clients’ business needs
  • Solid interpersonal, communication and presentation skills. Effectively interacts with all levels of CNA’s internal and external business partners
  • Solid analytical, critical thinking and problem solving skills to effectively resolve complex situations and issues
  • Solid knowledge of Microsoft Office Suite and other business-related software
  • Effective verbal and written communication skills; articulately and concisely explain the implications of complex data
  • Familiarity with Igloo or other commercially available capital modeling tools
Senior Consultant Advanced Analytics
06/2011 - 07/2016
Los Angeles, CA
  • ETL and statistical programming languages/tools (SQL, R, Alteryx)
  • Where relevant, enhance existing analytical tests to reflect a client’s process and control environment
  • Own regular cross functional, cross BU analysis and reporting
  • Overall technical requirements gathering and design for enterprise-wide Risk Management implementations with IBM’s AlgoONE suite of risk analytic engines
  • Assist with the installation and configuration of software applications in accordance with the clients’ specifications
  • Coordinate and communicate with the customer’s project manager and project resources
  • Assist the customer in making decisions to properly and creatively utilize features to meet the customer’s needs
  • Experience processing and synthesizing large data sets
Senior Consultant, Heor Analytics
05/2005 - 03/2011
San Francisco, CA
  • Experience managing data analytics projects
  • Developing new reporting tools to track initiatives’ success rate; designing reports that enable senior leadership to make decisions and improve performance
  • Structure business problems and design solution
  • Develop sophisticated analytical frameworks that add value to the client and result in new projects and revenue streams for Fractal
  • Develop and implement analytical methodologies, processes, and technological solutions that integrate diverse information solutions and generate analytical insights
  • Leverage technology to enhance the competitive position of clients by identifying appropriate solutions and/or products and designs
  • Effectively provide consultancy to clients on various aspects of their business using data analytics

Education


Whitworth University
1999 - 2004
Bachelor's Degree in Mathematics

Professional Skills


  • Strong analytical, critical thinking, and problem solving skills to effectively resolve complex situations and issues
  • Experience in Marketing Analytics, ideally also prior marketing testing experience
  • Strong technical skills and ability to learn programming languages such as R, SQL, and Python
  • Demonstrate lateral thinking skills
  • Excellent communication and data story telling skills
  • Team management and people handling skills (talent management/ mentoring & grooming/ staffing etc)
  • Strong technical Business Intelligence background with experience extracting data, data modeling and creating visualizations

How to write Analytics Senior Consultant Resume

Analytics Senior Consultant role is responsible for analysis, architecture, training, analytics, design, retail, database, trading, java, reporting.
To write great resume for analytics senior consultant job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Analytics Senior Consultant Resume

The section contact information is important in your analytics senior consultant resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Analytics Senior Consultant Resume

The section work experience is an essential part of your analytics senior consultant resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous analytics senior consultant responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular analytics senior consultant position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Analytics Senior Consultant resume experience can include:

  • Strong problem solving skills with an emphasis on product development
  • Strong quantitative and statistical analysis skills, ability to interpret analytical results and present findings
  • Experience in Experience with data manipulation, transformation and cleansing using PERL, Shell and other script languages
  • Experience in Experience with financial applications and trading systems a definite asset
  • Experience in Knowledge of Object Oriented Programming concepts and experience with languages such as C++ and Java
  • Team management and people handling skills (hiring / training / performance appraisals / etc)

Education on an Analytics Senior Consultant Resume

Make sure to make education a priority on your analytics senior consultant resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your analytics senior consultant experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school

These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Analytics Senior Consultant Resume

When listing skills on your analytics senior consultant resume, remember always to be honest about your level of ability. Include the Skills section after experience.

Present the most important skills in your resume, there's a list of typical analytics senior consultant skills:

  • Excellent communication skills, ability to read others’ styles and adapt behaviour accordingly
  • Excellent communication skills in order to negotiate with internal and/ or external parties with possible divergent interests and with different business areas
  • Business insight – business knowledge and experience or strong knowledge of analytic concepts within a business environment with relevant experience
  • Influencing - ability to effectively influence individuals to action at various levels for internal and external organizations
  • Experience in managing strategic projects and experience in engaging with senior management
  • Problem-solving, Project management, and communication skills & Creative thinking

List of Typical Experience For an Analytics Senior Consultant Resume

1

Experience For Data Analytics Senior Consultant Resume

  • Works independently, receiving minimal guidance; acts as a resource for colleagues with less experience by providing instruction, guidance, and advice
  • Practical work experience with at least one year in a related consulting role
  • Relevant Analytics' experience with focus on problem solving and advanced analytics solutions
  • Experience in business consulting with an emphasis on Customer Insights/ Customer loyalty analytics
  • Strong interest in data science (such as neural networks, random forest, time series etc.) and data engineering
2

Experience For Senior Consultant Advanced Analytics Resume

  • Set up and maintain process to prioritize testing topics in alignment with Global Media team
  • Collect, consolidate and quality assure media, sales and other required data as input for Media Mix Modeling
  • Has demonstrated managing change and transformation processes
  • Experience in process improvement/network optimization/global operations/sales Advanced Analytics implementations
  • Bring technical and domain expertise in client interactions and solution development
  • Understanding on how Artificial Intelligence can leverage business value
3

Experience For Senior Consultant, Heor Analytics Resume

  • Lead the development of text analytics programs using a variety of programming languages and software tools including Python, Java and R
  • Develop and implement frameworks for text cleaning for unstructured fields including parsing, sentiment analysis and concept flags
  • Support building Test & Learn and Media Mix Modeling data and analytics capabilities within the market
  • Use ROMI insights to advise market brand leadership on marketing budget allocation decisions, brand planning & strategy and campaign execution
  • Manages monthly processes required for key performance indicator reporting and monitoring
  • Subject Matter Expert in the areas of: predictive analytics, statistics, data visualization, and iterative modeling processes
  • Roll out learnings to upcoming campaigns and communicate insights across teams, markets and back to Global teams
  • Support Data Science & Engineering teams to implement automated, sustainable process
4

Experience For Digital Analytics Senior Consultant Resume

  • Acts as a technical resource and regularly identifies opportunities to leverage new IT solutions in support of analytics and reporting objectives
  • Consults through ad-hoc engagements while working closely with business units to share risk considerations as they undergo strategic projects
  • Presents relevant training to the department in conjunction with a domain guide
  • Drive the creation of text dictionaries for insurance domains including claims and risk control
  • Provide resident ‘super user’ BI&A tool expertise
  • Provide BI&A thought leadership to the lines of business and Enterprise Data Office
  • Consult with business customers to develop strategies and governance practices that help move the business forward
  • Provide process and technical BI&A solutions to the lines of business to drive best in class usage of the appropriate tools
5

Experience For MCM Analytics Senior Consultant Resume

  • Performs complex modeling for the purpose of forecasting and analyzing various economic or business conditions and their impact on specific lines-of-business, the company or the industry and makes recommendations to senior management
  • Develop blended models for optimum performance
  • Solve client’s challenges by translating the meaning and impact of data, and communicating the story that the deliverable tells or the problem that the deliverable solves
  • Predictive Desktop and/or Server Certification
  • Strong English communication skills (verbal and written) with an ability to communicate with internal and external customers (includes communicating technical information to nontechnical audiences)
6

Experience For Big Data & Analytics Senior Consultant Resume

  • Knowledge of analytical techniques – application of the techniques to business problems
  • Maintain and enhance a robust digital analytics capability to support key Allstate Brand Distribution digital programs (Personalized Onboarding Experience, Relationship Platform, eProposal, eAgent, and Agency Gateway)
  • Work with technology and/or 3rd party vendor to come up with optimal implementation
  • UAT test to ensure measurement requirements are met
  • Exhibit a high level of expertise working with multiple data sources/reports (site metrics, campaign/channel reports, traffic and conversion reports) to analyze performance of campaigns and marketing efforts and make recommendations for improvements
  • Proactively review weekly reports to look for data anomalies and perform further analysis if needed
7

Experience For Senior Analytics Consultant Visualization Expert Resume

  • Maintain and enhance partnerships with digital analytics teams in other parts of the organization focusing on data integrity, governance/standards, best practices, etc
  • Drive strategic initiatives for the team (e.g. establishing relationships/processes with new areas of marketing, evaluation/onboarding of additional tools to enhance team capability, owning vendor relationships, etc.)
  • Uses subject matter expertise to coach less experienced employees to anticipate and prevent potential problems
  • Experience in Web Analytics core competencies
  • Give effective and clear presentations
  • Proactively look for ways to automate as much as possible
  • Advanced with Excel; proficient with other MS Office products
  • Knowledge of advanced analytics including but not limited to Regression, GLMs, survival modeling, forecasting, machine learning, decision trees etc. using statistical or analytic tools like SAS, R etc
  • Demonstrated ability in driving business impact through the application of data science and analytical techniques. Understanding and leveraging the connection between data structures, analytical methods, and business applications
8

Experience For Senior Associate Analytics Consultant Resume

  • Building and, when necessary, rebuilding -- and leading high performance teams. Proven track record of identifying and developing analytical talent and leading a team of quantitative personnel
  • Experience in the Analytics sector
  • Identify and prioritise advanced analytical requests, derive insights from data and deliver compelling visual insights (strong quantitative and qualitative analytical skills)
  • Understand complex dependencies across processes & systems. End-to-end understanding on how the implementation of Advanced Analytics drives change, innovation within business processes and IT landscape (Business Model Innovation)
  • Identify new business opportunities available via a more effective and creative data usage
  • Technical experience in Big Data, Artificial Intelligence and/or Robotic Process Automation
9

Experience For Business Intelligence & Analytics Senior Consultant Resume

  • Experience in regression analysis and other techniques (Eg: logistic, linear, GLM, HLM, RF, GBM etc.)
  • A track record of delivering big data and analytics transformation consulting
  • Manage the implementation of AI based forecasting solutions across functions
  • Leverage technology through the application of real-time analytic modelling and operational management solutions
  • Bring sector knowledge and understanding of the key business and digital technology issues to help our clients meet their big data and analytics key challenges and opportunities
  • Work with clients to develop business cases to foster Data and AI (artificial Intelligence) implementations
  • Lead and manage business change and governance within programme and work-streams in order to achieve revenue targets and high levels of customer satisfaction
10

Experience For Senior Applied Analytics Consultant Resume

  • Maintain and further develop an in-depth knowledge and expertise within their specialist areas through networking and research in order contribute to the success of projects, the development of client offerings and general business development
  • Develop and contribute to the growth of our consulting capability through new approaches and offerings
  • Proactively look to secure follow on work with clients in order to deliver high levels of customer satisfaction and additional revenue
  • Undertake assessments of the ‘as-is’ position of a client and to provide considered feedback in relation to risks, issues and opportunities
  • Project delivery experience utilising COTS AI solutions in both an On-Premise and Cloud context through e.g. IBM Watson, RapidMiner, Knime, Alteyx, SAS, H20,ai or similar platforms
  • Experience of data platforms such as SAS, Teradata, Oracle, AbInitio, MarkLogic, MapR, Cloudera, Informatica, Tableau
  • Knowledge of tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, NoSQL, Hive, Splunk, Hbase, PIG, Cassandra, streamsets etc.)
  • Act as single point of contact and the project manager for ROMI initiatives in the assigned markets & countries

List of Typical Skills For an Analytics Senior Consultant Resume

1

Skills For Data Analytics Senior Consultant Resume

  • Overall experience of 4 to 9 yrs with at least 3 to 4 years of hands-on experience in running data analytics projects
  • Proven track record to deliver Analytics engagements with at least 4 years of working experience
  • Experience in business consulting with an emphasis on project management and techniques like pricing, forecasting, marketing in CPG domain
  • Very good understanding of how data can be leveraged to affect strategy, campaign planning and media buying
  • Experience in creating and using financial modeling tools, spreadsheets and information acquisition tools
  • Skilled in analyzing and documenting business requirements and corresponding solution specifications
  • Experience utilizing machine learning techniques (e.g., random forests) and deep learning
  • Experience with predictive application performance monitoring, capacity planning and tuning for multiple members on multiple projects
  • Analytical experience in financial analysis, health care pricing, network management, healthcare economics or related discipline
2

Skills For Senior Consultant Advanced Analytics Resume

  • Experience in working with external consultants (strategy, data science, IT systems) are an advantage
  • Experience in projects with a forecasting focus
  • Experience interfacing with clients and/or senior executives
  • Demonstrate a broad approach to problem solving
  • Experience with data cleansing techniques and tools
3

Skills For Senior Consultant, Heor Analytics Resume

  • Experience with Azure Data Services
  • Strong Dun & Bradstreet Data, Analytic, and Product knowledge
  • Relevant experience in analytics preferably in CPG / FMCG / Retail / Consumer Product analytics
  • Experience with C# (.Net) or other programming languages
  • Previous Big 4 or major consulting experience
4

Skills For Digital Analytics Senior Consultant Resume

  • Professional experience in analytics tools besides Excel (tableau, SAS, SQL, Python, R, etc.)
  • Experience with provider payment methodologies and health care products
  • Extensive project management experiences in cross-functional international projects
  • Experience with enterprise Business Intelligence platforms
  • Experience with the Microsoft Business Intelligence stack (e.g. SSIS, SSMS, SSAS, SSRS and PowerBI)
  • A strong background in applying mathematical and analytics approaches and methodologies to identifying complex relationships in data
  • Experience working in teams over extended project delivery periods (e.g. 2 - 6 months)
  • Demonstrate initiative and ownership in the completion of tasks
5

Skills For MCM Analytics Senior Consultant Resume

  • Experience in predictive model lifecycle development and monitoring, covering aspects such as feature identification, testing and production monitoring
  • Experience with end-to-end predictive solutions such as supply chain, churn models, market segmentation or customer engagement
  • Experience in the Analytics sector
  • Experience in CPG/Retail/FMCG domain
  • Accessing data, constructing and manipulating large datasets to support planned analyses, using SAS, SQL and similar tools
6

Skills For Big Data & Analytics Senior Consultant Resume

  • Manipulating and turning different data sources into valuable business insight
  • Creating text dictionaries for insurance domains including claims and risk control
  • Understanding of data repositories and systems
  • Programming in Python, Java and R to build text analytics tools
  • Collaborating with key partners to capture and analyze needs and requirements to design and implement robust analytic solutions to support these needs
  • Comprehensive business understanding of processes and structures especially with regards to Marketing Working Budget
  • Text cleaning for unstructured fields including parsing, sentiment analysis and concept flags; and
  • Advanced analytics/Predictive Modeling using Python/R, SQL and Machine Learning
  • Significant expertise with commercial and open source systems developing predictive models using Python, R, or modeling tools such as SPSS
7

Skills For Senior Analytics Consultant Visualization Expert Resume

  • Critical thinking; problem solving
  • Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality, and database management
  • Consult with outside vendors supporting various marketing programs to ensure they have access to the metrics they need to successfully evaluate their programs
  • Configured users, groups, group policy objects, service accounts, application layer services and other objects, often coordinating with software developers
  • Advanced knowledge with MS Power BI Architecture (Desktop & Online), Data Source connectivity/transformation, Data Modeling, DAX functions and Visualizations
8

Skills For Senior Associate Analytics Consultant Resume

  • Intermediate understanding of the business
  • Knowledge of core business processes including Procurement, Accounts Payable, Payroll, Sales, Accounts Receivable, General Ledger and Inventory
  • Deep understanding of the many data elements from each source and how they can (and cannot) be linked and interrelated with other data sources
  • Knowledge of at least 2 of the following: SAS, SPSS, MATLAB, R, Python
  • Produces highly technical reports and spreadsheets, and communicates with other analytical staff and management, including presentations to senior management
  • Write scripts to do exploratory data mining that can then be communicated or translated to users for model development
  • Develop, support, migrate and refactor automated, streaming input to models
  • Data preparation and munging with a variety of relational and non-traditional data sources
  • Responsible for providing clear feedback and direction on the measurement and analysis strategy of each site / application responsible for
9

Skills For Business Intelligence & Analytics Senior Consultant Resume

  • Campaign Management technologies like Unica, SAS, Adobe
  • CRM technology like IBM, Salesforce, Dynamics
  • Provided end-to-end technical support and problem resolution
  • Developed organizational units in Active Directory (AD) and managed user security with group policies
  • Configured Group Policy Objects to create a secure Windows Infrastructure
  • Use available IMS data resources to generate reports addressing client needs, reviewing the reports with the client, follow up on client questions, and provide insight relevant to the client’s business
10

Skills For Senior Applied Analytics Consultant Resume

  • Solid knowledge of core functions of an insurance company and general insurance
  • Supports a team of clinicians, researchers and project managers to support Cardinal Health’s outcomes research services
  • Think strategically and translate market and industry trends as well as internal analysis results into actionable recommendations
  • Business fluency in local language (written and spoken)
  • Broad knowledge of business functions, statistical methods of analysis, company systems and databases, and their integration
  • Interact with clients, understand their business questions and develop solution architecture. Generate insights from client data and present findings and deliverables to the client that meets business requirements
  • Successfully manage 4-5 short-term (3 to 6 months) or 2-4 long-term (1 year +) projects simultaneously end-to-end by ensuring efficient resource utilization and timely delivery in accordance with client’s needs and expectations

List of Typical Responsibilities For an Analytics Senior Consultant Resume

1

Responsibilities For Data Analytics Senior Consultant Resume

  • Problem solving, Project management and communication skills & Creative thinking
  • Experience in processing and synthesising large data sets
  • Provide guidance and oversight for advanced analytics initiatives, set priorities and direction based on overarching data strategy within assigned practice
  • Develops advanced data analysis and insight of consumer with a strong focus on segmentation
  • Identify new business opportunities via a more effective and creative data usage
  • Measure the effectiveness of advanced analytics projects
  • Assist business users with interpreting results and pulling reports
2

Responsibilities For Senior Consultant Advanced Analytics Resume

  • Engage with leading research institutes and universities, building up a future collaboration network
  • Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality and data base management
  • High learning orientation & agility
  • Additional competencies strengthening candidacy
  • Create dashboards and reports as needed
  • Develop and implement the vision, strategy and methods by which the organization acquires, analyses, governs and manages the quality of data
  • Manage & execute strategic initiatives and special projects related to Advanced Analytics. Drive strategy on how to develop the corresponding practice and coverage and quality of corresponding use cases
3

Responsibilities For Senior Consultant, Heor Analytics Resume

  • Manage the implementation of AI based forecasting solutions across processes
  • Manage consultants assigned to workstreams within the assigned area of responsibility
  • Deliver advanced analytics pilots and transform successful proofs of concepts into business as usual tools / solutions
  • Develop and maintain a project network with other relevant departments within the adidas Group to get end-to-end transparency of project activity
  • Drive market Media Test & Learn Operations
4

Responsibilities For Digital Analytics Senior Consultant Resume

  • Align with business units and markets on test parameters, regions, budgets and timelines to lead test execution within given timeframe
  • Analyze test results with tools provided by Global Advanced Analytics team and derive major insights
  • Collaborate with the global and local ROMI teams and contribute ideas in the development of hypothesis for new insights and program improvements
  • Define and execute a communication plan that ensures full alignment and compliancy with the global ROMI program
  • Technical mastery in SAS & basic knowledge in R
  • Knowledge of insurance industry is an added advantage
  • Leads smaller scale projects that involve the analysis for the purpose of quantifying the performance of the business area and evaluating operational changes. Uses technical expertise to provide business insights and recommendations to support business improvements. Reports findings to Senior Management
5

Responsibilities For MCM Analytics Senior Consultant Resume

  • Evaluates current processes and collaborates with team in order to drive enhanced processes and operational efficiency. Builds efficient processes in order to deliver information more accurately and quickly
  • Builds complex dashboards (using excel and/or proprietary software) and prepares reports for Senior Management
  • Responds to and fulfills adhoc data requests
  • Establishes relationship with our Actuarial business partners and use these partnerships to drive insights
  • Collaborates with our Data and IT business partners to innovate and improve efficiencies in managing data, allowing for greater speed and accuracy of producing analyses, metrics, and insights
6

Responsibilities For Big Data & Analytics Senior Consultant Resume

  • Uses process design principles and documentation best practices to drive efficiencies in current and new processes. Contributes to making Actuarial Reserving an innovation, process, and data/analytics-focused culture
  • Acts as a technical resource and regularly identifies opportunities to leverage new IT solutions in support of analytics and reporting objectives. Focuses on using the right tools for solving the right problem
  • Over all experience of 5 to 6 yrs with at least 3 to 4 years of hands on experience in running data analytics projects
  • Good to have: Experience Big data tolls such as Hadoop, Hive, Impala and Python
  • Work effectively with minimal oversight and within a team environment
  • Stays up to date on data science trends and developments
7

Responsibilities For Senior Analytics Consultant Visualization Expert Resume

  • Identifies analytic hypotheses based on risk, business knowledge and/or loosely-defined audit needs
  • Develops a plan and leads the execution of moderately complex analytics using traditional and agile project management concepts, including data extraction, development, review of results and assumptions, quality, and conclusions
  • Meets department standards and documentation requirements
  • Provides high-quality reports and/or visualizations
  • Supports workstreams in the department data analytic strategy
  • Initiate and lead projects to develop methodologies, assumptions, quantifications and computer programs to capture data for complex analyses
8

Responsibilities For Senior Associate Analytics Consultant Resume

  • Independently draft technical reports, make recommendations to senior management and coordinate the technical implementation of recommendations by business units and senior management
  • Guide and mentor less experienced team members and lead special projects
  • Project management: Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently
  • Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence
  • Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches
  • Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management
9

Responsibilities For Business Intelligence & Analytics Senior Consultant Resume

  • Expertise in Python/R/SAS & advanced analytics/Statistics Techniques such as general linear model, ANOVA, decision trees, linear regression, Bayesian etc
  • Knowledge of any one visualization tool such as Tableau, Spotfire or equivalent
  • Adapt with ambiguity in cross functional environment
  • Work with stakeholders throughout the organization to identify opportunities for leveraging CLA and client data to drive business solutions and enhance the client experience
  • Develop predictive analytics, machine learning, and artificial intelligence techniques
  • Analyze data from CLA and client databases to drive client service optimization, improve quality, and drive profitable growth
  • Coordinate with different functional teams to implement solutions and monitor outcomes
10

Responsibilities For Senior Applied Analytics Consultant Resume

  • Develop processes and tools to monitor and analyze solution performance and accuracy
  • Document previous leadership Able to handle personal workload with minimal supervision Work in ambiguous situations Ability to design easy to use, insightful and user friendly reports and dashboards Education
  • Experience performing and overseeing data mining, data analytics and predictive modeling initiatives using SAS, SPSS, or an equivalent analytics package
  • Responsible for the design and implementation of DMP solutions that deliver on customer’s business and functional goals
  • DMP’s (Adobe Audience Manager, BlueKai, etc.)
  • DSP’s (Adobe Media Optimizer, DoubleClick, Media Math)
  • Experience in consulting and/or implementing solutions leveraging a combination of web analytics /digital analytics /customer data analytics, online/interactive marketing, statistical modeling, CRM program implementation, marketing performance measurement, and/or customer strategy
  • Working experience with predictive modelling and simulation techniques

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