Analytics Engineer

Thatch; United States; Teletrabalho; USD 160 000 - 190 000; Tempo integral

Resumo da oferta

Thatch is redefining health benefits by enabling employees to control how they use their benefits. We are seeking an Analytics Engineer to own data models, metrics, and dashboards used by leadership, growth, finance, and operations.

You will define how we measure the business from source data to end reports, with emphasis on reliability and simplicity for teams relying on it. You’ll build dbt models, design dashboards, ensure data quality, and enable self-serve analytics to accelerate decision

Qualificações

• Experience building analytical models and dashboards in production.
• Strong SQL and dbt or similar tools; Python for ad-hoc analysis.
• Strong intuition for metric design: grain, aggregation, edge cases.
• Ability to translate business problems into metrics, models, and tools.

Responsabilidades

• Own meaningful metrics and data products from definition to adoption.
• Build and maintain dbt models that define how we measure the business.
• Design and maintain dashboards for growth, finance, and operations.
• Improve data quality through testing, monitoring, and validation.
• Enable self-serve analytics so teams can answer their own questions.

Conhecimentos

Analytics modeling

SQL proficiency

dbt experience

Python

Stakeholder collaboration

Metric design

Ferramentas

dbt

Snowflake

Omni BI

Hex

GitHub

Descrição da oferta de emprego

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 from systems like Ruby on Rails is important.

Experience that stands out

• 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.

How we work

• We move quickly and are biased toward action.
• We ship early, learn from real usage, and iterate.
• We operate with trust, ownership, and high empathy.
• We value clarity over ceremony and quality over shortcuts.

What to expect

We aim to move quickly, and most candidates complete the process within 2–3 weeks. You can expect:

• An initial conversation with a recruiter.
• A conversation with the hiring manager.
• A take-home analytics exercise.
• A review of your work, including modeling and coding exercises with the team, and a discussion with cross-functional partners.
• A final conversation with engineering and company leadership.

Estimated Compensation Range

$160,000—$190,000 USD

About Thatch

We’re a fully distributed early stage company using technology to change the way America does healthcare. We’re a happy, friendly, high-velocity team. You can read more on Thatch here.