Mercury Insurance
United States
New
Data Analyst I, Product (Competitive Intelligence) - Mercury Insurance
- Data Analysis
- Excel
- GIT
- Python
AI Summary
Builds scalable data infrastructure for product analytics, enabling self-service insights, AI, and experimentation. Partners with Engineering, Product, and Growth to improve instrumentation, dbt models, and data governance. Requires 6+ years in analytics engineering, SQL, and dbt with SaaS experience.
Key Highlights
Rebuilding data and analytics infrastructure for self-service, AI, and experimentation
6+ years required in Product Data Analyst/Analytics Engineering with SaaS experience
Focus on dbt, semantic modeling, and product instrumentation
Key Responsibilities
Build and maintain scalable product analytics data foundation
Partner with Engineering to define and validate product instrumentation
Design and maintain dbt models for event-driven analytical datasets
Develop semantic models, standardized business logic, and governed metric definitions
Monitor data pipelines, identify gaps, and implement long-term improvements
Leverage AI to accelerate analytics engineering workflows
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Technical Skills Required
Benefits & Perks
Equity through JSOP (Jane Stock Option Plan)
Wide salary bands with room for growth
Remote-first work environment
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Nice to Have
Experience with Customer Data Platforms (Segment, RudderStack)
Experience with modern analytics platforms (Looker, Omni, Hex, Sigma)
Experience with cloud data platforms (Snowflake, BigQuery, Redshift)
Experience using AI tools (Cursor, Claude Code)
Job Description
About The Role
We're rebuilding how we manage data and analytics at Jane. Our goal is to establish a trusted data foundation that powers self-service analytics, AI, and consistent business metrics across the company.
This role is focused on Product Analytics—but not in the traditional sense of generating insights or building dashboards. Instead, you'll focus on building the technical foundation that enables Product teams to answer their own questions with confidence.
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