Thatch
Healthcare
AnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Analytics Engineer at Thatch. Skills: Data modeling, Dashboard design, Metric definition. Take ownership of metrics. Take ownership of data products”
Industry & Context.
What They're Looking For.
Must Have
Experience building analytics models, Experience building dashboards, SQL skills, Working knowledge of python, Intuition for metric design
Nice to Have
Experience with data testing, Experience with CI/CD, Experience building reliable data systems, Experience building observable data systems, Partnering with finance teams, Partnering with growth teams, Partnering with go-to-market teams, Building self-serve analytics tools, Working in healthcare, Working in fintech, Working in regulated domains
What You'll Do.
Take ownership of metrics
Take ownership of data products
Enable self-serve analytics
How You'll Work.
Team & Collaboration
Work closely with stakeholders
Full Job Description
About the role Thatch is rewiring how health benefits work. We build software that gives employees real control over how they use their benefits. We're looking for an Analytics Engineer to own the data models, metrics, and dashboards the company runs on. You'll define how we measure the business, from source data through the numbers that leadership, growth, finance, and operations use every day. This work touches real money and real healthcare decisions. Consistency and reliability matter, but so does making the data simple to use for the teams who depend on it. What you will do Take ownership of meaningful metrics and data products, from definition through adoption. Build and maintain dbt models that define how we measure the business. Design and maintain dashboards used by growth, finance, and operations to make day-to-day decisions. Improve data quality through testing, monitoring, and validation. Enable self-serve analytics so teams can answer their own questions and move faster. What we are looking for Experience building analytics models and dashboards in a production environment. Strong SQL skills and experience with dbt or similar tools, and working knowledge of python for ad-hoc analysis. Strong intuition for metric design, including grain, aggregation, and edge cases. Eagerness to work closely with stakeholders to define problems and translate them into metrics, models, and analytic tools. Good judgment when balancing speed, accuracy, and maintainability. We hire across levels and care most about the scope you’ve owned, the impact you’ve had, and how you make decisions. Tools and tech stack dbt and SQL for modeling. Snowflake as our data warehouse (migrating from Redshift). Omni for BI, with tools like Hex for ad hoc analysis. GitHub with CI/CD for version control. AI tools (e.g., Claude, ChatGPT, Copilot) are woven into our daily development and analysis workflow. You won’t work directly in our application layer day-to-day, but understanding source data f
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