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Product Analytics Engineer

1 month ago
United States
Full-time
Senior
Product Analyst
Data Science and Analytics
Apache Airflow dbt NumPy Pandas Python Snowflake SQL Tableau
Apply Now
Twin Health

Twin Health

Twin Health utilizes patented AI-driven technology and a clinical care team to help employees and health plan members prevent and reverse chronic metabolic diseases, offering personalized recommendations and smart devices to enhance their overall healt...

Pharmaceuticals
251-1K
Founded 2018
$184M raised
View All Jobs 6

Description

  • Partner with Product Managers, Care Team leads, and Area owners to turn business goals into measurable hypotheses and actionable insights.
  • Design and evaluate experiments, including A/B tests, to validate product hypotheses and guide iteration.
  • Work with Product and ML teams to measure the impact of new features, workflows, and personalization systems.
  • Build and maintain dbt models, dashboards, and self-serve analytics tools using Snowflake, dbt, and BI platforms.
  • Define, monitor, and communicate KPIs across product areas, including member engagement, CGM utilization, and Care Team effectiveness.
  • Collaborate with Data Engineers to ensure the analytical layer is built on a reliable and 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 data integrity.
  • Communicate findings clearly to both technical and non-technical stakeholders.
  • Create and maintain technical documentation, including data models, metric definitions, and data dictionaries.

Requirements

  • Bachelor's degree in Computer Science, Statistics, Data Science, or a 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 with the ability to write complex queries confidently and efficiently.
  • Experience with dbt for data modeling and transformation.
  • Proficiency with cloud data warehouses, with Snowflake preferred.
  • Familiarity with BI tools such as LightDash, Tableau, or equivalent.
  • Strong business acumen and the ability to connect data to product decisions and business outcomes.
  • Strong communication skills and the ability to influence technical and non-technical stakeholders.
  • Experience with Python for data analysis (pandas, numpy) is a bonus.
  • Familiarity with data pipeline tools such as Airflow, Fivetran, Rivery, or Workato is a bonus.
  • Healthcare or digital health experience is a bonus.
  • Ability to collaborate during Pacific Standard Time (PST) business hours is preferred.
  • This is a remote U.S. role, and applicants must be authorized to work for any employer in the U.S.; sponsorship is not available.

Benefits

  • $130,000–$140,000 annual salary.
  • Opportunity for equity participation.
  • Unlimited vacation with manager approval.
  • 16 weeks of 100% paid parental leave for delivering parents and 8 weeks for non-delivering parents.
  • 100% employer-sponsored healthcare, dental, and vision for employees, plus 80% coverage for family members.
  • Health Savings Account and Flexible Spending Account options.
  • 401(k) retirement savings plan.
  • Remote, global team with high flexibility.

Interested in this position?

Apply directly on the company website

Apply Now

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