Summary
Thatch is a fully distributed early stage company using technology to change the way America does healthcare. They are seeking an Analytics Engineer to own the data models, metrics, and dashboards that the company relies on for decision-making. The role involves defining business measurements, improving data quality, and enabling self-service analytics for various teams.
Responsibilities
- 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
Skills
- 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
- Experience with data testing, CI/CD, and building reliable, observable data systems
- Partnering closely with finance, growth, or go-to-market teams
- Building self-serve analytics tools that reduce ad hoc requests
- Working in healthcare, fintech, or other complex, regulated domains
Qualifications
Must Haves
- 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
Nice to Haves
- Experience with data testing, CI/CD, and building reliable, observable data systems
- Partnering closely with finance, growth, or go-to-market teams
- Building self-serve analytics tools that reduce ad hoc requests
- Working in healthcare, fintech, or other complex, regulated domains
Benefits
- We’re a fully distributed early stage company using technology to change the way America does healthcare.