Principal Analytics Engineer

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.

What You’ll Do

• 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.

Join Us

adMarketplace has been named as one of the best places to work in New York City by Built In and Crain’s- the latter of which have recognized us the past three years straight! AMP is currently experiencing triple digit growth, and it’s never been a better time to join our team!

We offer a robust continuing education program, management training, regular company-wide lunch and learns, and well-defined career paths to ensure all our employees have an opportunity to grow.

At adMarketplace, we play to win, but we learn from our setbacks. Our commitment to a collaborative environment means no one succeeds alone, and no one fails alone either.

We know you’ve come to expect comprehensive healthcare, wellness programs, paid time off, commuter benefits, and 401k matching from any company, so it’s a good thing we offer all of that and so much more. adMarketplace offers Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and corporate retreats to encourage a strong work/life balance.

No Third Party Recruiters. We do not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.

This range represents the low and high end of the base salary someone in this role may earn as an employee of adMarketplace in the New York office. Salaries will vary based on various factors including but not limited to professional and academic experience; training; associated responsibilities; and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.