Top Senior Data & Analytics Jobs in NYC, NY

As a Senior Manager, you will lead cross-functional data analytics projects, validate tools, and influence business strategies while mentoring junior staff.

Lead and grow an analytics team supporting Casino Revenue Operations. Drive measurement strategy, diagnose performance issues, run deep-dive customer and promotion analyses, build automated monitoring and alerting, and translate insights into actionable recommendations for Revenue Operations, Product, and senior leadership.

The specialist develops asset liability management models, enhances quantitative models, collaborates with teams, and drives improvements in processes and methodologies.

Partner with tech, operations, and workforce stakeholders to analyze workforce and operational data, build forecasts and scenario models, write and optimize SQL, use Databricks, create dashboards and reports, and deliver actionable insights to inform capacity, demand, skills, and staffing decisions.

The Advanced Analytics Manager will drive growth at ZS by applying technical expertise to drug discovery, managing projects, and building client relationships.

The Quantitative Developer will build scalable systems for risk analytics, collaborate with trading and research teams, and handle financial data challenges.

Lead development of Navan's internal economic models, build probabilistic forecasts, run causal inference experiments (A/B, quasi-experimental), create pricing and retention frameworks, deploy production-quality Python models into AWS/Snowflake, and advise executives on economic strategy and risk.

Design and deliver enterprise-scale data models and analytics-ready datasets in Snowflake; build reliable ELT/ETL pipelines (batch and near-real-time); implement data quality, observability, and performance optimizations; publish curated data to downstream systems; enforce documentation, lineage, schema evolution, and secure handling of sensitive data while collaborating with product, operations, and engineering teams.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

Build and maintain data quality scripts and automated validation workflows, support large data migrations to modern platforms including public cloud, triage and repair data quality issues, prepare datasets for client-facing materials, and ensure access to databases for business intelligence tools.