Senior Product Analytics Engineer

Join our team as a Senior Product Analytics Engineer, where you'll play a crucial role in shaping our product data layer and driving data-driven decision-making across the company. You'll work closely with Data Engineering, Data Governance, Product analysts, and PMs to create self-service, decision-ready data products. Your responsibilities will include designing and maintaining scalable ELT pipelines, partnering with Product Engineering, supporting data governance efforts, building self-service data models, monitoring data quality, and collaborating with data teams across the company. This is a remote position with opportunities for growth and a focus on innovation and inclusivity.

• Concevoir, construire et maintenir des pipelines ELT évolutifs et des modèles de données qui traduisent les données brutes d'utilisation des produits en actifs analytiques fiables et bien documentés.
• Collaborer avec l'ingénierie produit sur la couche de données produit canonique, en veillant à ce que les cohortes d'utilisation des produits et les définitions des signaux comportementaux soient basées sur des données sources précises et gouvernées.
• Construire et posséder la couche sémantique et les modèles de données en libre-service pour l'analyse des produits, afin que les parties prenantes internes puissent interroger en toute confiance sans avoir besoin d'un expert SQL.

• You're equally comfortable writing a dbt model, troubleshooting a pipeline, and helping a non-technical stakeholder define a company wide KPI
• Bias toward self-service, you build data models assuming someone else will need to understand and trust them without you in the room
• A governance driven approach to data. You default to documenting, defining, and getting alignment on what a metric means, rather than shipping something that "mostly works"
• Curiosity and ownership when something looks off in the data
• A builder's mindset for data — you enjoy shaping how product data is modeled at the source, not just querying what already exists
• Comfort moving fluidly between technical and business conversations
• Adaptability in a fast-paced, evolving data environment and comfortable building foundational structure while priorities and requirements are still taking shape
• Bachelor's degree or equivalent in Computer Science, Engineering, Information Systems, or a related field
• Experience translating ambiguous business requirements into governed, well-documented data models
• Advanced SQL and hands-on experience with dbt
• 7+ years of experience spanning data engineering and analytics, ideally in a role bridging both
• Hands-on experience building both production data pipelines and stakeholder-facing analytics/dashboards
• Proven experience partnering directly with product/engineering teams on instrumentation and source data design — not just consuming what's handed downstream
• Experience standing up or contributing to a data governance or metrics-certification process
• Familiarity with BI/visualization tools (Tableau, Looker, Power BI)
• Experience with Git-based workflows and CI/CD for data pipelines
• Experience with cloud platforms (AWS, GCP, Azure)
• Regular use of AI in coding/development workflows (agents, memory files, copilots)