Principal Analytics Engineer

• AdMarketplace is looking for an Analytics Engineer to build the trusted analytical data foundation that powers product decisions, experimentation, measurement, and self-service analytics across the company
• As the founding hire for our Analytics Engineering function, you’ll have a unique opportunity to build this capability from the ground up including hiring and growing analytics engineers
• A core mandate of analytics engineers is to help establish one version of the truth across adMarketplace - reducing reliance on one-off SQL, spreadsheets, conflicting dashboards, and manually maintained reporting
• You will actively influence how we define metrics and deep-dive segments, and build data products and semantic foundations around them
• Build the Analytics Data Layer - 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
• Establish Trusted Metrics - Define and encode canonical metrics with Product, Finance, Measurement, and business teams, and maintain consistent definitions, documentation, and governance
• Enable Product Analytics - Create datasets for funnels, cohorts, product adoption, marketplace diagnostics, experimentation, and causal analysis. Help teams understand what changed, where, and why
• Scale Self-Service Analytics - Build curated datasets and semantic layers for our BI tools (Sigma, Tableau) and evaluate data app solutions (R Shiny, Streamlit, ChatGPT Sites) to scale automated solutions
• Own automation and reproducibility efforts - Automate recurring workflows and apply AI to data discovery, SQL generation, and documentation where useful

Benefits

• Medical/Dental/Vision/FSA
• Wellness Programs & Social Events
• Life/Disability Insurance
• Matching 401k
• Employee Referral Bonus Program
• Discounted Gym Membership
• Tax-Free Commuter Benefits

• 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