Principal Analytics Engineer

Join AdMarketplace as a Principal Analytics Engineer, where you'll build the foundation for trusted analytical data that drives product decisions and self-service analytics. As the first hire in the Analytics Engineering function, you'll have the opportunity to shape this capability from the ground up, including hiring and growing a team of analytics engineers. Your responsibilities will include building the Analytics Data Layer, establishing trusted metrics, enabling product analytics, scaling self-service analytics, and owning automation and reproducibility efforts.

• Establish one version of the truth across adMarketplace by reducing reliance on one-off SQL, spreadsheets, conflicting dashboards, and manually maintained reporting.
• Build analytics-ready datasets and reusable models for core marketplace concepts; transform raw data into tested, production-quality analytical entities in partnership with Data Engineering.
• Define and encode canonical metrics with Product, Finance, Measurement, and business teams, and maintain consistent definitions, documentation, and governance.

• Experience building production analytical datasets across database systems - Databricks/Snowflake/AWS or equivalent modern data platforms
• 10+ years of experience in data analytics, business intelligence, data science or related disciplines
• Penchant for writing narratives that explains both the data design architecture of our solutions and the insights they uncover
• Ability to translate ambiguous business questions into durable analytical data models
• Exceptional SQL and dimensional/data modeling skills
• Experience working with BI/self-service analytics tools such as Sigma, Tableau, or data app solutions like R shiny, Streamlit, ChatGPT Sites
• Strong opinions on analytics engineering working models - we want build durable measurement with a focus on immediacy and reproducibility and employ the right tools for the project at hand including dashboards, data-apps, or reusable Python notebooks
• Experience with advertising technology, marketplaces, search, recommendation systems, or high-volume event data
• Experience building and deploying data-apps - R Shiny, Streamlit, ChatGPT Sites
• Experience supporting experimentation platforms or product analytics