Bestow

Life insurance

SeniorDataAnalyst

$115–135k United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Analyst at Bestow”

Industry & Context.

Life insurance
Full Job Description

ABOUT BESTOW Life insurance is one of the world's most important products. It's also one of the hardest to build, distribute, and modernize. Bestow exists to change that. 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. Bestow isn't selling policies. We're building the infrastructure that helps an entire industry move faster, reach more people, and deliver on its promise. 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. If you want to help reimagine a centuries-old industry with lasting impact, join us. Bestow offers flexible remote/hybrid work, meaningful benefits, equity, and substantial growth opportunities. Bestow uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit E-Verify.gov http://e-verify.gov. 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. As a data analytics professional, you will span engineering and insights to improve automation and decision making for our partners and internal stakeholders.   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

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