PURE Insurance is looking to transform how they manage and deliver regulatory data calls and statistical reporting by building and scaling a centralized and highly efficient reporting function.
Requirements
- Expertise in SQL, and experience building reports or dashboards in Tableau, Power BI, Hex, or similar BI tools.
- Familiarity with dbt, Databricks, and Git-based workflows.
- Experience documenting analytical processes, reviewing peers’ work, and supporting audits.
- Strong working knowledge of insurance and actuarial KPIs, and comfort working with regulatory requirements and structured filings.
- Direct experience with DOI data calls, NAIC statistical reporting, or regulatory/market conduct filings.
- A track record of modernizing legacy reporting processes or building analytical systems from the ground up.
Responsibilities
- Lead the end-to-end execution of regulatory data calls and statistical reporting, including recurring (monthly/quarterly/annual) and ad hoc requests.
- Analyze and join complex P&C insurance datasets (policy, exposure, rating, claims/loss) to produce accurate, audit-ready deliverables.
- Build robust SQL queries and reporting templates that can be automated, scheduled, and scaled.
- Contribute to the design and maintenance of modern data pipelines alongside data and analytics engineers.
- Own the documentation and validation of key regulatory deliverables to ensure reproducibility & transparency.
- Drive quality, consistency, and efficiency across the newly formed regulatory reporting function.
- Collaborate with technical personnel across data architecture, data engineering, analytics engineering, and data science.
Other
- 3–5+ years of experience in data analytics, preferably with experience in Property & Casualty (P&C) insurance.
- Clear and confident communicator who can work effectively across technical and business teams.
- Collaborate with cross-functional teams — including Data Engineering, Product, Actuarial, Underwriting, Claims, Finance, and Compliance — to define requirements and implement reporting solutions.
- Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, actuarial science, business analytics, or a related field.
- This is a full-time, fully remote position.
