Principal Analytics Engineer

This founding Principal Analytics Engineer position at adMarketplace focuses on building the analytics data foundation for a marketplace environment. The role will establish canonical measurement, deliver product analytics datasets, and scale self-service analytics with automation and reproducible workflows.

Responsibilities

• Build the Analytics Data Layer: Create analytics-ready datasets and reusable models for key marketplace concepts. Transform raw data into tested, production-quality analytical entities in partnership with Data Engineering.
• Establish Trusted Metrics: Define and encode canonical metrics in collaboration with Product, Finance, Measurement, and other business teams. Maintain consistent metric definitions, documentation, and governance.
• Enable Product Analytics: Develop datasets for funnels, cohorts, product adoption, marketplace diagnostics, experimentation, and causal analysis. Support teams in understanding what changed, where it changed, and why.
• Scale Self-Service Analytics: Build curated datasets and semantic layers for BI tools including Sigma and Tableau. Evaluate data app solutions such as R Shiny, Streamlit, and ChatGPT Sites to expand automated analytics capabilities.
• Own automation and reproducibility efforts: Automate recurring workflows and apply AI to data discovery, SQL generation, and documentation where useful.

Requirements

• Exceptional SQL and dimensional/data modeling skills.
• Experience building production analytical datasets across database systems such as Databricks, Snowflake, AWS, or equivalent modern data platforms.
• Experience working with BI and self-service analytics tools including Sigma and Tableau, as well as data app solutions such as R Shiny, Streamlit, and ChatGPT Sites.
• Strong views on analytics engineering working models, with a focus on durable measurement, immediacy, reproducibility, and using the right tools for the task, including dashboards, data apps, or reusable Python notebooks.
• Ability to translate ambiguous business questions into durable analytical data models.
• Ability to write narratives that explain both solution architecture and the insights those systems uncover.

Preferred (Nice to Have)

• 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 using R Shiny, Streamlit, or ChatGPT Sites.

Technologies

• SQL, Databricks, Snowflake, AWS
• Sigma, Tableau
• R Shiny, Streamlit, ChatGPT Sites
• Python

Location and Compensation

Location: New York, NY (onsite)

Salary: USD 220,000 - 260,000 per year

Benefits

• Comprehensive healthcare and wellness programs
• Paid time off
• Commuter benefits
• 401k matching
• Summer Fridays
• Catered lunches
• Fully stocked kitchen
• ZogSports teams
• Happy hours and corporate retreats to encourage work-life balance
• Robust continuing education program
• Management training
• Regular company-wide lunch and learns
• Well-defined career paths

Additional Information

• Named as one of the best places to work in New York City by Built In and Crain’s.
• adMarketplace is currently experiencing triple digit growth.
• No third party recruiters: unsolicited agency resumes are not accepted, and there is no responsibility for fees related to unsolicited resumes.