Top Data & Analytics Jobs in NYC, NY

Analyze product and customer behavior data, conduct root-cause analyses and A/B tests, define success metrics, build dashboards, size business opportunities, and deliver actionable recommendations to product, engineering, business, and leadership teams. The role also emphasizes data quality, governance, experimentation, stakeholder communication, and collaboration with analytics and data engineers.

Own product analytics for embedded business areas, leading experimentation, root-cause analysis, business-case development, KPI reporting, and strategic recommendations. Build dashboards and Looker explores, partner with engineering teams to improve data models and reliability, present insights to leadership, use AI tools to improve analytics efficiency, and mentor analysts. The role requires advanced SQL, Python, statistical experimentation expertise, and experience with consumer fintech or similar B2C data.

Analyzes payments and banking data to identify trends, improve products, and enhance operational efficiency. Builds dashboards, conducts deep-dive and experimental analyses, monitors customer behavior, and delivers actionable insights to stakeholders. Partners with product managers, engineers, and leadership to define success metrics, ensure data quality, support fraud response, and improve analytics processes.

Leads and scales the company-wide product analytics function, managing embedded analytics teams and aligning analytics roadmaps with business and P&L goals. Establishes standards for experimentation, data modeling, reporting, and data integrity; reviews complex analyses and experimental designs; and delivers executive-level insights. The role manages analytics leaders, develops talent, prioritizes high-impact initiatives, and remains hands-on with SQL, Python, root-cause analysis, dashboards, and advanced experimentation.

Design and build data warehouse architecture, dimensional models, data marts, and transformation pipelines (dbt, Airflow, BigQuery). Partner with analysts, data scientists, and engineers to enable reporting in Looker, ensure data quality and reconciliation, and support cross-functional analytics needs across business teams.

The Senior Data Analyst will own data models and drive analytical initiatives, ensuring data quality and reliability while providing insights to stakeholders. Responsibilities include managing dashboards and supporting the team with analytics.