> Markdown version of [/jobs/ext/1458160-product-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/1458160-product-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Analytics Engineer - **Company:** THREE STORMS, LLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $130,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Airflow, Data Analysis, Clinical Data Repository, Cloud Database, Data Validation, Data Dictionary, Information Engineering, Data Infrastructure, Data Integrity, Database Queries, EHealth, Python (Programming Language), NumPy, Tableau (Software), Usage Analysis, Snowflake, Data Build Tool (dbt), Zapier, Pandas, Information Technology, Data Analytics, Data Pipelines - **Published:** July 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ad156cc5f79488e9 ## About the Role * Bachelor's degree in Computer Science, Statistics, Data Science, or related field (Master's preferred) * 4-7 years of experience in product analytics, data analytics, or a similar role * Experience partnering closely with Product Managers on strategy, roadmap, and execution * Strong SQL skills - ability to write complex queries confidently and efficiently * Experience with dbt (data build tool) for data modeling and transformation * Proficiency with cloud data warehouses - Snowflake preferred * Familiarity with BI tools such as LightDash, Tableau, or equivalent * Strong business acumen - ability to connect data to product decisions and business outcomes * Strong communication skills, with the ability to influence stakeholders across technical and non-technical teams * Bonus: Experience with Python for data analysis (pandas, numpy) * Bonus: Familiarity with data pipeline tools (Airflow, Fivetran, Rivery, or Workato) * Bonus: Healthcare or digital health experience This remote opportunity is based out of the U.S. within Pacific Standard Time (PST) business hours. Applicants must be authorized to work for any employer in the U.S. Sponsorship is not available at this time. ## Description A leading Series E healthtech company applying AI-driven technology to improve and prevent chronic metabolic diseases is looking for a Product Analyst to join its Data Platform organization. This role sits at the intersection of product, analytics, data engineering, and healthcare. You'll help transform large-scale member and clinical data into actionable insights that drive product decisions, improve member outcomes, and increase Care Team effectiveness. Working closely with Product Managers, Care Team leads, Area owners, and Data Engineers, you'll play a critical role in shaping how data is used across the organization. This is an excellent opportunity for someone who enjoys combining analytical rigor with business and clinical impact in a high-growth, mission-driven environment. What you'll do: * Partner with Product Managers, Care Team leads, and Area owners to translate business goals into measurable hypotheses and actionable insights that drive product enhancements and member outcomes * Design and evaluate experiments, including A/B testing and beyond, to validate product hypotheses and guide iteration * Work closely with Product and ML teams to measure the impact of new features, workflows, and personalization systems * Build and maintain robust dbt models, dashboards, and self-serve analytics tools using Snowflake, dbt, and BI platforms * Define, monitor, and communicate KPIs across product areas - member engagement, CGM utilization, Care Team effectiveness, and more * Collaborate with Data Engineers to ensure the analytical layer is built on a reliable, well-structured data foundation * Build data pipelines for analytics and insight generation using Python, dbt, and Snowflake * Develop and implement data validation and monitoring strategies to ensure ongoing data integrity * Communicate findings clearly and effectively to both technical and non-technical stakeholders * Create and maintain technical documentation including data models, metric definitions, and data dictionaries * Contribute to the continuous improvement of data analytics processes and best practices ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [HR ROBO SAPIENS: Decoding AI Agents and Workflow Automation for Modern Recruitment](https://www.wearedevelopers.com/videos/1470-hr-robo-sapiens-decoding-ai-agents-and-workflow-automation-for-modern-recruitment) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! 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