Consultant, Competitive Intelligence (Data Research & Analytics)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

If you're passionate about helping a Fortune 100 company drive their strategy forward through innovative product development and advancing strategic partnerships to protect customers (and their pets), then Nationwide's Strategy and Corporate Development Office might be the place for you!

The compensation for this role is a G band.

This position can be remote.

Job Description Summary

Are you a data driven problem solver, focused squarely on attaining business goals? If you can take initiative, use both your analytical and creative abilities to make sound decisions and have a desire to solve challenges, we want to hear from you!

As a Consultant, you'll work on assignments reflecting a high degree of technical complexity and coordination to collect, build and communicate data and recommendations. You'll perform statistical analyses, prepare recommendations and monitor the company's competitive position. You'll partner with enterprise resources to acquire market, industry and consumer insights relative to business unit.

Job Description

Critical thinking and problem-solving skills are key for this role. Individual should have a high level of attention to detail while having the ability to become familiar with new information. Prospective candidates should be able to retrieve and analyze information from a variety of internal and external sources within company as well as across industry and have the ability to draw concise insights from large data sets.

• Experience in collecting, extracting & analyzing data from large data systems.
• Experience with data analytic and query tools such as SQL, Tableau, and macros in Excel
• Provides monthly reporting for partner programs as well as additional analysis as needed.
• Ability to identifies incomplete or inaccurate data, identifies root causes of data issues, escalates discrepancies, fixes data where possible or partners to deliver a solution
• Ability to resolve, improve, automate, standardize, or simplify data analysis processes.
• Financial forecasting skills a plus.
• Insurance certification, SAS skills and CPA a plus, but not required.

Key Responsibilities:

• Retrieves and manipulates data, accountable for suitability and accuracy of data.
• Updates Competitive Intelligence and serves as subject matter authority for tools and reports; may be responsible for updating and validating complex coding in various applications and/or vendor software.
• Conducts analyses by selecting appropriate data sources and methods, makes assumptions, recognizes considerations and develops recommendations. May be asked to investigate hypotheses through additional research and analysis. Notes unreasonable results/non-optimal solutions, investigates, suggests alternative resolutions.
• Works on special assignments. May work on projects with little-to-no direction and develop project plans, requirements, timelines, deliverables, etc. May collaborate or lead competitive intelligence project teams.
• Communicates effectively with internal and external business partners in a variety of mediums. Expresses analytical findings and trains users on tools and processes.
• Uses relationships with business partners to complete assignments. Makes presentations to corporate and executive audiences.
• Participates in peer reviews. Reviews work of peers and has work reviewed by them. May assist with training new associates and business partners outside the unit on standard work procedures and processes. May participate in interview activities. 
• Participates in ad hoc analyses. More complex work is reviewed. Applies data mining techniques to discover new relationships in the data. Participates in the project planning process. 
• Evaluates and documents new techniques, methodologies and software to support research projects. Under supervision, develops project plans to support projects. May act as the lead for selected projects and manage project completion timelines and work of team.
• Participates on and leads interdisciplinary teams as assigned.
• Completes applicable testing of company and competitor rates that are available through competitive intelligence tools. 

May perform other responsibilities as assigned.

Reporting Relationships: Reports to Manager/Director; this is an individual contributor role.

Typical Skills and Experiences:

Education: Bachelor’s degree in actuarial science, computer science, business, finance, mathematics, statistics, economics, management information systems or related field with a strong quantitative orientation preferred.

License/Certification/Designation: SAS certification a plus. Insurance licenses or designations such as CPCU, ARM, CLU, ChFC, FLMI, CFP, NASD, etc. also are a plus.

Experience: Typically, eight to ten years demonstrated of experience in a business unit (e.g., pricing, actuarial, product) or combined experience and educational equivalent. Programming and/or web development experience desired.

Knowledge, Abilities and Skills: Strong knowledge of mathematics, statistics and/or probability principles. Proven analytical skills and knowledge of products and terminology, as well as competitive landscape in area of assignment. Demonstrated work product accuracy and timeliness. Effective verbal/written communication skills. Demonstrated ability to comprehend and analyze competitive intelligence data, think logically and make observations or recommendations to business partners based on data. Ability to use database software, which may include SAS, SQL or other applications.

Other criteria, including leadership skills, competencies and experiences may take precedence.

Staffing exceptions to the above must be approved by the Product/Pricing Officer/Executive and Human Resources.

Values: Regularly and consistently demonstrates the Nationwide Values.

Job Conditions:

Overtime Eligibility: Exempt (Not eligible)

Working Conditions: Normal office environment; overtime as required. Occasional travel as needed.