Product Analytics Associate Engineer

Twin Health; United States; Remote; USD 110,000 - 120,000; Full time

Benefits offered by this job

Equity options

Unlimited vacation

Parental leave

Employer sponsored healthcare

401k retirement savings

Job summary

Twin Health is seeking a Product Analytics Associate Engineer to join our Data Platform team, helping translate member and care-team data into actionable insights and improving product analytics.

You will work alongside Data Engineering and Product Analytics, partnering with Product Managers and care-team leads to grow ownership of analytics areas while learning modern analytics engineering practices.

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

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 — 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

SQL

Analytical mindset

Communication skills

Collaborative

dbt

Cloud data warehousing

BI tools

Education

Bachelor's degree in CS/Statistics/Data Science

Tools

dbt

Snowflake

BigQuery

Redshift

Tableau

Looker

Power BI

Job description

Twin Health

At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health.

We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.

Working here

Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.

Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace®.

With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.

Join us as we reinvent the standard of care in metabolic health.

Opportunity

We are looking for a Product Analytics Associate Engineer to join our Data Platform team, supporting the data-driven insights and product analytics that directly improve member outcomes and Care Team effectiveness. This is a great opportunity to grow at the intersection of product, data, and healthcare — working alongside our Data Engineering and Product Analytics team to help translate Member and Care Team data into actionable insights, while building deep, hands‑on experience with modern analytics engineering practices. You'll partner with Product Managers, Area owners, Care Team leads, and Data Engineers, with support and mentorship from senior team members as you grow into greater ownership of your own product areas.

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

Compensation and Benefits

The compensation range for this position is $110,000 - $120,000 annually.

Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting‑edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin

• A competitive compensation package in line with leading technology companies
• 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

Salary range for US jobs: US Salary Range: $110,000 — $120,000 USD

We have been made aware of fraudulent interview requests being sent using the Twin Health's name. All communications will come from official Twin Health channels and a twinhealth.com email address. We will never ask you to complete a text interview or request financial details during the interview process.