Principal Analytics Engineer
Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 14, 2026.
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.
Missions
- Construire une base de données analytique fiable qui alimente les décisions produit, l'expérimentation, la mesure et l'analyse autonome.
- Définir et encoder des métriques canoniques en collaboration avec les équipes Produit, Finance, Mesure et affaires, et maintenir des définitions, une documentation et une gouvernance cohérentes.
- Automatiser les flux de travail récurrents et appliquer l'IA à la découverte de données, à la génération de SQL et à la documentation lorsque cela est utile.
Profil recherché
- Exceptional SQL and dimensional/data modeling skills- 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 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
- Ability to translate ambiguous business questions into durable analytical data models
- Experience working with BI/self-service analytics tools such as Sigma, Tableau, or data app solutions like R shiny, Streamlit, ChatGPT Sites
- Penchant for writing narratives that explains both the data design architecture of our solutions and the insights they uncover
- Experience with advertising technology, marketplaces, search, recommendation systems, or high-volume event data
- Experience supporting experimentation platforms or product analytics
- Experience building and deploying data-apps - R Shiny, Streamlit, ChatGPT Sites