Job Overview
Location
Remote, US
Job Type
Full-time
Category
Data Science
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Automate data transformation pipelines using SQL, dbt, CI/CD, GitHub, and Google Cloud to deliver data products to enterprise insurance partners.
- • Design and build intuitive data visualizations using Tableau and other BI tools to enable enterprise partners to understand their business metrics and trust their data.
- • Collaborate cross-functionally with engineering and stakeholder teams to translate business requirements into technical data solutions.
- • Develop and implement data governance best practices to enhance data quality, consistency, and control across partner and internal systems.
- • Construct automated data validation checks and unit tests to detect and prevent data quality issues before they impact downstream analytics and deliverables.
- • Maintain and monitor data pipelines through automated alerting systems and participate in an on-call rotation to ensure reliability and uptime.
- • Build deep subject matter expertise in the life insurance domain to proactively anticipate partner needs and improve solution relevance.
- • Share knowledge and cross-train other data analysts and engineers to foster team growth and shared ownership of data products.
- • Document data models, code changes, and system designs using GitHub, Jira, Confluence, and Lucidchart to ensure transparency and maintainability.
- • Leverage AI coding assistants within IDEs or agentic CLIs to accelerate development, improve code quality, and enhance productivity.
- • Reduce compute costs through optimization of SQL queries and data pipeline efficiency while maintaining performance and accuracy.
- • Communicate complex data insights clearly through slides, whitepapers, Jupyter notebooks, and dashboards to both technical and non-technical audiences.
- • Actively contribute to team decision-making, propose innovative ideas, and provide constructive feedback during code reviews and planning sessions.
- • Promote a positive, growth-oriented team culture by encouraging development, inclusivity, and psychological safety among peers.
🎯 Requirements
- • 5+ years of experience as a Data Analyst or similar role
- • Advanced SQL skills with proficiency in BigQuery or similar cloud data warehouses
- • Strong experience with dbt and Airflow for data transformation and orchestration
- • Demonstrated ability to design data models and schema structures for enterprise-scale analytics
- • Proven track record of using data visualization tools (Tableau, PowerBI, Google DataStudio) to deliver actionable insights
- • Experience working within Agile SDLC, CI/CD pipelines, and version control via GitHub
🏖️ Benefits
- • Competitive salary and equity compensation
- • 100% paid-premium medical, dental, and vision insurance
- • Flexible paid time off and parental leave policies
- • Lifestyle stipend for physical, emotional, and financial wellbeing
- • Remote-first work policy with optional access to a state-of-the-art office in Dallas’ Deep Ellum
- • Employee-led diversity, equity, and inclusion initiatives
Skills & Technologies
About Bestow Inc.
Bestow is a Dallas-based insurtech company that builds digital infrastructure to help enterprises offer life insurance and other financial products. Its APIs and white-label platform let banks, fintechs, and consumer brands embed term-life coverage into their own customer journeys without underwriting delays or paper forms. Founded in 2016, Bestow uses predictive analytics and algorithmic underwriting to provide instant decisions and flexible coverage amounts, aiming to broaden access to affordable protection for middle-income families while helping partners generate new revenue streams.
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