Data Analytics Engineer at Bestow

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.

• Strong communicator, not afraid to contribute during meetings with stakeholders and engineering teammates, and asks clarifying questions to better understand business requirements and opportunities.

• Build subject matter expertise within the insurance domain, in order 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, ensuring reliable downstream analytics and partner deliverables.

• 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.

• Maintain a positive attitude and encourage the growth and development of team members.

• Make decisions as a team. Propose your ideas. Review others’ work. Shared ownership.

Who You Are:

• 5+ years of experience with Strong SQL (e.g., BigQuery) skills and the ability to perform complex, effective, and efficient querying to extract data from cloud data warehouses.

• Passionate about solving problems with data and continuously delivers valuable and positive results.

• Strong understanding of data transformation and quality engineering (e.g., dbt and Airflow), and general software development lifecycle (SDLC, Agile development, 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, drawing upon compelling and concise summaries and clear data visualizations (slides, whitepaper, Jupyter notebook, Tableau, Google Data Studio, PowerBI, etc.).

• Demonstrated experience with AI coding assistants within IDEs or agentic CLIs – AI tools are heavily engrained in Bestow culture.

• Creating clear documentation of designs and code changes through Github, Lucid, Jira, or Confluence.