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Director, Data Science
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Data Analyst I, Product (Competitive Intelligence) - Mercury Insurance
Full Remote
AI Summary
Analyze personal lines product performance and competitive data under supervision. Gather, validate, and organize internal/external data; prepare reports and visualizations. Apply foundational analytical methods to business questions and support process improvements.
Key Highlights
Forbes-recognized employer with competitive salary and benefits
Flexibility to work from anywhere in the United States
Focus on personal lines product performance and competitive intelligence
Key Responsibilities
Gather, validate, and organize internal and external data for analysis
Analyze product and competitive data to identify trends and opportunities
Prepare and maintain reports, charts, spreadsheets, and basic dashboards
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Technical Skills Required
Benefits & Perks
Competitive compensation
Flexibility to work from anywhere in the United States
Paid time off (vacation, sick leave, 9 paid holidays, volunteer hours)
Incentive bonus programs (holiday, referral, performance-based)
Medical, dental, vision, life, and pet insurance
401(k) retirement savings plan with company match
Education assistance
Professional and personal development opportunities
Health and wellbeing resources (free mental wellbeing therapy/coaching, child and eldercare resources)
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Nice to Have
Experience with Python, R, dbt, Git/GitHub, or business intelligence tools
Property and casualty insurance or personal lines experience
Exposure to data ingestion, data cleanup, and documentation processes
Job Description
Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2026!
Position Summary:
Under close supervision and guidance, the Data Analyst I, Product supports analysis of personal lines product performance and competitive position. The analyst gathers, validates, and organizes internal and external data; prepares reports and visualizations; and shares findings with Product and cross-functional partners. The role applies foundational analytical and statistical methods to defined business questions and contributes to product and process improvement work.
Responsibilities
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