Hybrid Data-Driven Competitive Intelligence Analyst

NBMBAA; Columbus (OH); Hybrid; USD 97,000 - 180,000; Full time

Benefits offered by this job

Medical/dental/vision benefits

Life insurance

401(k) with company match

Paid time off and holidays

Job summary

Nationwide Financial is seeking a Consultant, Competitive Intelligence to transform data into actionable insights. The role focuses on collecting, building, and communicating market intelligence, with emphasis on statistical analyses and strategic recommendations.

The position involves coordinating with enterprise resources, delivering complex analyses, and presenting insights to senior stakeholders. A strong quantitative background and experience with SAS/SQL are preferred.

Qualifications

• Bachelor’s degree with strong quantitative orientation preferred.
• Proven analytical skills and knowledge of competition and market data.
• Experience communicating analyses to partners and executives.

Responsibilities

• Retrieve and validate data accuracy for reports and analyses.
• Update competitive intelligence tools and reports; ensure valid coding in apps.
• Conduct analyses using appropriate data sources; develop recommendations.
• Lead or collaborate on competitive intelligence projects and timelines.
• Present findings to corporate and executive audiences.
• Train users on tools and processes and support peer reviews.

Skills

Statistical analysis

Data manipulation

Communication

Presentation to executives

Education

Bachelor's degree in actuarial science or related field

Tools

SAS

SQL

Job description

Nationwide Financial is seeking a Consultant, Competitive Intelligence to transform data into actionable insights. The role focuses on collecting, building, and communicating market intelligence, with emphasis on statistical analyses and strategic recommendations.

The position involves coordinating with enterprise resources, delivering complex analyses, and presenting insights to senior stakeholders. A strong quantitative background and experience with SAS/SQL are preferred.