Product Analytics Engineer
New
T
Twin HealthDigital Health
Remote, USA, Ability to collaborate during Pacific Standard Time (PST) business hours is preferred.Full-TimeMiddle
Salary$130,000 - $140,000 annually
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Job Details
- Experience
- 4–7 years
- Required Skills
- PythonSQLSnowflakeProduct AnalyticsData modelingA/B testingdbt
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.
- Strong SQL skills with the ability to write complex queries confidently and efficiently.
- Experience with dbt (data build tool) for data modeling and transformation.
- Proficiency with cloud data warehouses, preferably Snowflake.
- Familiarity with BI tools such as LightDash, Tableau, or equivalent.
- Experience partnering closely with Product Managers on strategy, roadmap, and execution.
- Strong business acumen with the ability to connect data to product decisions and business outcomes.
- Strong communication skills with the ability to influence technical and non-technical stakeholders.
- Ability to collaborate during Pacific Standard Time (PST) business hours is preferred.
Responsibilities
- Partner with Product Managers, Care Team leads, and Area owners to translate business goals into measurable hypotheses and actionable insights.
- 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, including member engagement and Care Team effectiveness.
- 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.
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