Product Analytics Associate Engineer

Summary

Twin Health is a digital health company using AI Digital Twin technology to improve metabolic health and prevent chronic diseases. The Product Analytics Associate Engineer will support product analytics and data-driven insights by conducting analyses, maintaining SQL and dbt models, monitoring experiments, building reports, and collaborating with product, care, and data engineering teams.

Responsibilities

• Assist Product Managers and Area owners with data pulls, ad hoc analysis, and basic reporting to support their day-to-day decision-making
• Help set up and monitor A/B tests — building tracking queries, checking data quality during test runs, and summarizing results for senior team members to review
• Write and maintain SQL queries and dbt models for specific, well-scoped tables and metrics, with code review and guidance from senior analytics engineers
• Build and update components of dashboards and reports in our BI tools (e.g., adding a new metric, fixing a broken visualization) under the direction of senior team members
• Help track and report on established KPIs across product areas — member engagement, CGM utilization, Care Team effectiveness — using existing frameworks and definitions
• Learn our data architecture by working closely with Data Engineers, asking questions, and gradually taking on small pipeline tasks
• Run data quality checks on assigned datasets and flag anomalies or inconsistencies to the team
• Practice communicating findings clearly in team meetings and written summaries, building toward more stakeholder-facing work over time
• Contribute to documentation (data dictionaries, metric definitions) for the models and reports you work on
• Ask questions, seek feedback, and take initiative in identifying small improvements to existing processes
• Other duties as assigned

Skills

• Bachelor's degree in Computer Science, Statistics, Data Science, or related field
• 1–3 years of experience in product analytics, data analytics, or a similar role (internships and co-ops count)
• Solid SQL skills — comfortable writing joins, aggregations, and window functions; eager to deepen query complexity and optimization skills
• Some exposure to dbt (data build tool) or a strong willingness to learn data modeling and transformation practices quickly
• Familiarity with cloud data warehouses — Snowflake preferred, though experience with any modern warehouse (BigQuery, Redshift, etc.) is welcome
• Exposure to BI tools such as Tableau, Looker, Power BI, or equivalent
• Strong analytical curiosity — a genuine interest in connecting data to real product and business decisions
• Good communication skills and a collaborative mindset — comfortable asking questions and learning from senior teammates
• This remote opportunity based out of the U.S
• Applicants must be authorized to work for any employer in the U.S
• We are unable to sponsor or take over sponsorship of an employment Visa at this time
• Bonus: Healthcare or digital health experience, or a personal interest in health and wellness

Qualifications

Must Haves

• Bachelor's degree in Computer Science, Statistics, Data Science, or related field
• 1–3 years of experience in product analytics, data analytics, or a similar role (internships and co-ops count)
• Solid SQL skills — comfortable writing joins, aggregations, and window functions; eager to deepen query complexity and optimization skills
• Some exposure to dbt (data build tool) or a strong willingness to learn data modeling and transformation practices quickly
• Familiarity with cloud data warehouses — Snowflake preferred, though experience with any modern warehouse (BigQuery, Redshift, etc.) is welcome
• Exposure to BI tools such as Tableau, Looker, Power BI, or equivalent
• Strong analytical curiosity — a genuine interest in connecting data to real product and business decisions
• Good communication skills and a collaborative mindset — comfortable asking questions and learning from senior teammates
• This remote opportunity based out of the U.S
• Applicants must be authorized to work for any employer in the U.S
• We are unable to sponsor or take over sponsorship of an employment Visa at this time

Nice to Haves

• Bonus: Healthcare or digital health experience, or a personal interest in health and wellness

Benefits

• A remote and accomplished global team
• Opportunity for equity participation
• Unlimited vacation with manager approval
• 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
• 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
• 401k retirement savings plan