Client Success Executive

⚡ Product Analyst (Product Analytics | Data & AI Insights)

🚀 Leading Series E Healthtech Company

🌎 United States (Remote, PST Hours)

💰 $130K-$140K Base + Equity

Overview:

A leading Series E healthtech company applying AI-driven technology to improve and prevent chronic metabolic diseases is looking for a Product Analyst to join its Data Platform organization.

This role sits at the intersection of product, analytics, data engineering, and healthcare. You’ll help transform large-scale member and clinical data into actionable insights that drive product decisions, improve member outcomes, and increase Care Team effectiveness.

Working closely with Product Managers, Care Team leads, Area owners, and Data Engineers, you’ll play a critical role in shaping how data is used across the organization. This is an excellent opportunity for someone who enjoys combining analytical rigor with business and clinical impact in a high-growth, mission-driven environment.

What you’ll do:

• 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, including A/B testing and beyond, to validate product hypotheses and guide iteration
• Work closely 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

What we’re looking for:

• 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

This remote opportunity is based out of the U.S. within Pacific Standard Time (PST) business hours. Applicants must be authorized to work for any employer in the U.S. Sponsorship is not available at this time.

Why consider this role?

• Join a leading Series E healthtech company scaling rapidly across the U.S. and globally, backed by leading venture investors
• Directly influence member health outcomes and Care Team effectiveness through data insights
• Work at the intersection of product, data, engineering, and healthcare on meaningful, high-impact problems
• Competitive compensation package with meaningful equity participation
• Comprehensive benefits including 100% employer-sponsored healthcare, unlimited vacation, and generous parental leave
• Fully remote position with strong benefits and flexibility

📧 Interested in applying? Please reach out directly for a confidential conversation.