greenhouse
Product Analytics Associate Engineer
Twin Health
Remote, USA
Junior · 1–3 years experience
Remote
USD 110000-120000 / year
Discovered Yesterday
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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
Qualifications
- 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
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