Principal Analytics Engineer

Who We Are

ad Marketplace is the largest global marketplace for Native Search advertising. For over 25 years, we’ve connected brands with consumers at the moment they express commercial intent beyond legacy search engines.

Today, our Native Search solutions are exclusively integrated across next-generation platforms where discovery happens, including web browsers, Buy Now Pay Later apps, and AI chat surfaces. Powered by vector search technology, our platform delivers relevant text and product ads that match consumers with the brands, products, and offers they’re actively seeking.

Our award-winning culture is grounded in the principles of Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness – our 5

Cs. These values drive us to turn complexity into clarity and create measurable value for consumers, advertisers, and publishers alike.

ad Marketplace 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 ad Marketplace - 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.

• Exceptional SQL and dimensional/data modeling skills.

• Experience building production analytical datasets across database systems
  - Databricks/Snowflake/AWS or equivalent modern data platforms.

• 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

• Ability to translate ambiguous business questions into durable analytical data models.

• 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.

ad Marketplace has been named as one of the best places to work…