Note: The job is a remote job and is open to candidates in USA. Twin Health is a company focused on improving and preventing chronic metabolic diseases through AI Digital Twin technology. They are seeking a Product Analyst to join their Data Platform team, responsible for driving data-driven insights and product analytics to enhance member outcomes and Care Team effectiveness.

Responsibilities

• Partner with Product Managers, Care Team leads, and Area owners to translate business goals into measurable hypotheses and actionable insights that drive product enhancements and member outcomes
• Design and evaluate experiments (A/B tests and beyond) to validate product hypotheses and guide iteration
• Partner with Product and ML teams to measure the impact of new features, workflows, and personalization systems
• Build and maintain robust dbt models, dashboards, and self-serve analytics tools using Snowflake, dbt, and BI platforms
• Define, monitor, and communicate KPIs across product areas — member engagement, CGM utilization, Care Team effectiveness, and more
• Collaborate with Data Engineers to ensure the analytical layer is built on a reliable, 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 ongoing data integrity
• Communicate findings clearly and effectively to both technical and non-technical stakeholders
• Create and maintain technical documentation including data models, metric definitions, and data dictionaries
• Contribute to the continuous improvement of data analytics processes and best practices
• Other duties as assigned

Skills

• Bachelor's degree in Computer Science, Statistics, Data Science, or related field
• 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 — ability to write complex queries confidently and efficiently
• Experience with DBT (data build tool) for data modeling and transformation
• Proficiency with cloud data warehouses — Snowflake preferred
• Familiarity with BI tools such as LightDash, Tableau, or equivalent
• Strong business acumen — ability to connect data to product decisions and business outcomes
• Strong communication skills, with the ability to influence stakeholders across technical and non-technical teams
• Master's degree in Computer Science, Statistics, Data Science, or related field
• Experience with Python for data analysis (pandas, numpy)
• Familiarity with data pipeline tools (Airflow, Fivetran, Rivery, or Workato)
• Healthcare or digital health experience

Benefits

• 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

Company Overview