Product Analytics Associate Engineer

Join our Data Platform team as a Product Analytics Associate Engineer. In this role, you will support data-driven insights and product analytics that improve member outcomes and Care Team effectiveness. You will work closely with Product Managers, Area owners, Care Team leads, and Data Engineers, gaining hands-on experience with modern analytics engineering practices. Responsibilities include assisting with data pulls and analysis, setting up and monitoring A/B tests, writing SQL queries, building dashboards, tracking KPIs, and contributing to documentation. This is a great opportunity to grow at the intersection of product, data, and healthcare.

• Assister les chefs de produit et les responsables de domaine avec des extractions de données, des analyses ad hoc et des rapports de base pour soutenir leur prise de décision quotidienne.
• Aider à la mise en place et à la surveillance des tests A/B, en construisant des requêtes de suivi, en vérifiant la qualité des données pendant les tests et en résumant les résultats.
• Écrire et maintenir des requêtes SQL et des modèles dbt pour des tables et des métriques spécifiques, avec révision de code et orientation de la part d'ingénieurs en analyse senior.

• Familiarity with cloud data warehouses — Snowflake preferred, though experience with any modern warehouse (BigQuery, Redshift, etc.) is welcome
• Strong analytical curiosity — a genuine interest in connecting data to real product and business decisions
• 1–3 years of experience in product analytics, data analytics, or a similar role (internships and co-ops count)
• Good communication skills and a collaborative mindset — comfortable asking questions and learning from senior teammates
• Bachelor's degree in Computer Science, Statistics, Data Science, or related field
• Bonus: Healthcare or digital health experience, or a personal interest in health and wellness
• Solid SQL skills — comfortable writing joins, aggregations, and window functions; eager to deepen query complexity and optimization skills
• Some exposure to dbt (data build tool) or a strong willingness to learn data modeling and transformation practices quickly
• Exposure to BI tools such as Tableau, Looker, Power BI, or equivalent