Lead Data Analyst - Analytics Enablement

About the Role

As a Lead Data Analyst, you’ll be a key player in our data modernization effort, how we build and use data across the company. You’ll focus on developing well-structured, reliable data models in dbt and Databricks, specifically the gold and platinum layers of our medallion architecture.

This role sits at the intersection of analytics and engineering - ideal for someone who’s comfortable writing production-grade SQL, building modular dbt models, and shaping how data is organized for analysis. You’ll work closely with our Data Analytics team, Analytics Engineering, and business teams to ensure data is accurate, consistent, and ready for insight.

What You’ll Do

• Partner with the Analytics Engineering team to align silver-layer and develop gold and platinum layers in dbt
• Build and document reusable, production-grade data assets to support analytics and reporting
• Drive best practices in dbt development, including modularization, testing, and Git-based version control
• Implement data validation and quality checks to ensure trustworthy datasets
• Mentor analysts on SQL, dbt workflows, and data modeling best practices
• Collaborate with key business partners (e.g., Product, Underwriting, Claims) to ensure analytical outputs meet needs

What We’re Looking For

Bonus Points For

Location & Work Environment

This is a full-time, fully remote position. You can work from anywhere in the United States or choose to work from one of PURE Insurance’s office locations, including White Plains (NY), Warren (NJ), Chicago (IL), Boston (MA), Charleston (SC), Atlanta (GA), Fort Lauderdale (FL), Scottsdale (AZ), and San Diego (CA).

The base salary for this role can range from $120,000 to $140,000 based on a full-time work schedule. An individual’s ultimate compensation will vary depending on job-related skills and experience, geographic location, alignment with market data, and equity among other team members with comparable experience

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