Top Data & Analytics Jobs in NYC, NY

Analyze marketplace and product performance using SQL, support experiments and advertising-effectiveness studies, build reusable datasets, QA metrics, and document analytics. Collaborate with analytics engineers, data scientists, product managers, engineers, and commercial teams while developing skills in statistics, causal inference, Python/R, and marketing science.

Leads complex, ambiguous research and analysis using marketplace data to uncover consumer intent, behavioral trends, advertiser and publisher insights, competitive intelligence, and market dynamics. Develops executive-ready narratives, visualizations, reports, and thought leadership; influences senior stakeholders and mentors analysts on analytical framing, synthesis, and storytelling.

Founding Marketing Science Lead responsible for building the company’s measurement function, with emphasis on incrementality, causal inference, experimental design, advertising effectiveness, and client-facing analytics. The role develops geo experiments, matched-market tests, measurement playbooks, tooling, and scalable workflows; partners with Sales, Product Marketing, advertisers, publishers, and vendors; and translates scientific findings into executive narratives, case studies, and market-facing claims. The hire will initially work hands-on while establishing standards and eventually building and mentoring a team.

Build the company’s analytics engineering function and trusted data foundation. Develop production analytical datasets, reusable models, semantic layers, canonical metrics, and self-service analytics capabilities. Support product analytics, experimentation, causal analysis, marketplace diagnostics, and automated workflows. Partner with Product, Finance, Measurement, Data Engineering, and business teams to establish consistent definitions and reproducible insights. As the founding hire, this role will also help hire and develop future analytics engineers.

The Director of Business Development will define, negotiate, and secure partnerships to expand adMarketplace's search and performance advertising across various platforms while ensuring alignment with company goals and operational integration.

Analyze large datasets to optimize advertiser pricing, support revenue forecasting, monitor marketplace performance, manage advertiser portfolios, run experiments, build dashboards, and partner cross-functionally to automate and improve pricing processes.