Product Analytics Engineer

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🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $130k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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Twin Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

🧘 Wellness

Healthcare Insurance • Artificial Intelligence • Wellness

Twin Health is a company that focuses on improving the metabolic health of employees and health plan members by preventing and reversing chronic metabolic diseases. Utilizing proprietary Digital Twin AI technology, combined with smart devices, wearables, and a clinical care team, Twin Health provides personalized health recommendations. The solutions help in weight loss, lowering blood sugar levels, improving energy, mood, and sleep, and reducing dependency on costly medications by addressing the root causes of metabolic dysfunction. Their evidence-based programs deliver substantial health benefits, including considerable reduction in blood sugar levels, medication elimination, and overall metabolic health improvement, within six months.

📋 Description

• 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

🎯 Requirements

• Bachelor's degree in Computer Science, Statistics, Data Science, or 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 — 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 • Bonus: Experience with Python for data analysis (pandas, numpy) • Bonus: Familiarity with data pipeline tools (Airflow, Fivetran, Rivery, or Workato) • Bonus: Healthcare or digital health experience • Ability to collaborate during Pacific Standard Time (PST) business hours is preferred.

🏖️ 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