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# Analytics Engineer

- **Company:** Thatch Health, Inc.
- **Location:** New York, NY, United States
- **Salary:** $160,000 - $200,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Application Layers, Continuous Integration, Data Visualization, Data Warehousing, Database Queries, Decision Support Systems, Github, Python (Programming Language), Ruby on Rails, Microsoft Copilot, Software Engineering, SQL Databases, Snowflake, Claude, GPT, Software Version Control
- **Published:** October 26, 2026
- **Apply:** https://www.careerbuilder.com/job-details/analytics-engineer-new-york-ny--0a53e20c-7dc4-4a81-b56e-5788abccdd33

## About the Role

Health Plan, Analysis Skills, Healthcare, Data Science, Data Modeling, Financial Operations, Decision Support, Marketing, Customer Relationship Management (CRM), Metrics, * Experience using data to answer business questions and influence decisions.

 * Strong SQL skills and experience with dbt or similar data-transformation tools.
 * Experience building analytical data models and communicating insights through BI or visualization tools
 * Working knowledge of Python for analysis, automation, or statistical modeling.
 * Strong stakeholder partnership, communication, and judgment when balancing speed, rigor, and maintainability

## Description

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 a Data Scientist to help Thatch make better product, commercial, financial, and operational decisions. You''ll own both halves of the problem: the data models and measurement systems that make rigorous analysis possible, and the analysis itself - investigating business questions and recommending what we should do next. This work touches real money and real healthcare decisions, so the numbers need to hold up. But so does making them simple to use for the teams who depend on them.

This is a hands-on, full-stack analytics role. Depending on your experience, you may focus more on building core analytics and internal tools, or take on broader ownership of measurement, experimentation, and strategic decision support.

What you will do

 * Partner with stakeholders across Product, GTM, Finance, and Operations to turn ambiguous questions into clear analytical approaches and recommendations.
 * Analyze product, customer, funnel, marketing, and financial data to explain performance and identify opportunities.
 * Own how we measure go-to-market performance by building trusted metrics that connect attribution, CRM, and product usage data.
 * Build and maintain the dbt models, metrics, dashboards, and analytical tools the company runs on.
 * Improve data quality and enable self-serve analytics through testing, monitoring, documentation, and better data products., 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., * Partnering closely with Growth, Marketing, Revenue Operations, or other GTM teams on acquisition, funnel, lifecycle, or marketing analytics.