Senior Data Analyst - Bestow

About Bestow

Bestow is a leading vertical technology platform serving some of the largest and most innovative life insurers. Our platform unifies the fragmented, legacy value chain, enabling carriers to launch products in weeks instead of years. Carriers choose us to scale and operate at unprecedented speed, powered by AI and automation.

Backed by leading investors (Goldman Sachs, Hedosophia, NEA, Valar, 8VC) and trusted by major carriers, Bestow is powered by a team that moves with precision, purpose, and heart.

About the Team

The Bestow Analytics team is a highly visible and dedicated team, working across the entire company to create data solutions that serve both our external partners and our internal stakeholders. The team works cross-functionally using cloud technology to provide curated data products, BI solutions, and high value deliverables.

What You'll Do

• Use SQL, dbt, CI/CD, Github, and Google Cloud to automate data transformation pipelines that flow to our various enterprise partners.
• Use Data Visualization tools (such as Tableau) to create intuitive data products, allowing our enterprise partners to better understand their business and trust their data.
• Contribute during meetings with stakeholders and engineering teammates, asking clarifying questions to understand business requirements.
• Build subject matter expertise within the insurance domain to better anticipate partners' needs.
• Recommend and adopt data governance best practices to improve data quality and controls.
• Construct data validation checks and automated unit tests to catch data quality issues early.
• Collaborate with other data analysts and engineers, sharing work and cross-training others.
• Ensure data quality through automated monitoring and alerting, and occasionally serving within an on-call rotation.

Who You Are

• 5+ years of strong SQL (e.g. BigQuery) skills and ability to perform complex querying to extract data from cloud data warehouses.
• Passionate about solving problems with data and continuously delivering valuable results.
• Strong understanding of data transformation and quality engineering (e.g. dbt and Airflow), and general software development lifecycle (SDLC, Agile, CI/CD, Github).
• Strong understanding of data organization, data modeling, and schema design.
• Track record of writing efficient queries and reducing compute costs.
• Able to communicate about data and findings using compelling summaries and clear data visualizations.
• Demonstrated experience with AI Coding assistants within IDEs or agentic CLIs.
• Experience creating clear documentation through Github, Lucid, Jira, or Confluence.