Top Data & Analytics Jobs in NYC, NY

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.

Own marketing and acquisition reporting, analytics, attribution, audience segmentation, experimentation, KPI development, and dashboarding. Build validated datasets and modular Looker models, partner with data engineers on analytics infrastructure, standardize metrics, and deliver actionable insights. The role also promotes advanced analytical techniques, supports marketing strategy, and trains stakeholders on BI best practices.

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.

Lead and grow Analytics Engineering: define data warehouse and BI strategy, build and optimize ETL/ELT pipelines, design dimensional models in BigQuery using dbt and Airflow, own BI tooling (Looker), ensure data quality and governance, and mentor/manage a distributed analytics engineering team while partnering with stakeholders and platform engineers.

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.