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Twin Health

Delivers digital twin for metabolic health.

Product Analytics Associate Engineer

Data AnalysisUpdated on Nov 13
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Statistics, Data Science, or a related field is required.
  • One to three years of experience in product analytics, data analytics, or a similar role is required; internships and co-ops count.
  • Solid SQL skills are required, including comfort writing joins, aggregations, and window functions, with willingness to deepen query complexity and optimization skills.
  • Some exposure to dbt or a strong willingness to learn data modeling and transformation practices quickly is required.
  • Familiarity with cloud data warehouses is required; Snowflake is preferred, and experience with BigQuery, Redshift, or another modern warehouse is welcome.
  • Exposure to BI tools such as Tableau, Looker, Power BI, or an equivalent tool is required.
  • Analytical curiosity and interest in connecting data to product and business decisions are required.
  • Communication skills and a collaborative mindset are required, including comfort asking questions and learning from senior teammates.
  • Applicants must be authorized to work for any employer in the United States.

Responsibilities

  • Assist Product Managers and Area owners with data pulls, ad hoc analysis, and basic reporting to support day-to-day decision-making.
  • Help set up and monitor A/B tests by 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 well-scoped tables and metrics, with code review and guidance from senior analytics engineers.
  • Build and update components of dashboards and reports in BI tools, such as adding a metric or fixing a broken visualization, under senior team members' direction.
  • Track and report established KPIs across product areas, including member engagement, CGM utilization, and Care Team effectiveness, using existing frameworks and definitions.
  • Learn the 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.
  • Communicate findings in team meetings and written summaries, building toward more stakeholder-facing work over time.
  • Contribute documentation, including data dictionaries and metric definitions, for the models and reports worked on.
  • Seek feedback and take initiative to identify small improvements to existing processes.
  • Perform other duties as assigned.

Desired Qualifications

  • Healthcare or digital health experience, or a personal interest in health and wellness, is a bonus.
  • Snowflake experience is preferred.

About the Company

Twin Health

Delivers digital twin for metabolic health.

Twin Health uses the Whole Body Digital Twin to monitor metabolism in real time and personalize treatment for chronic metabolic diseases like diabetes. Clients subscribe to the platform and receive medical coaching; sensors feed data to an AI model that builds a virtual body and guides interventions. It differentiates itself by targeting the root metabolic dysfunction with continuous sensing, AI insights, and partnerships with healthcare providers and insurers. The goal is to reverse and prevent metabolic diseases by restoring healthy metabolism through scalable, subscription-based care.

Company size
501-1,000
Company stage
Series E
Total funding
$286.5M
Headquarters
Menlo Park, CA
Founded
2018

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