Top Senior Data & Analytics Jobs in NYC, NY

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.

Client-facing analytics lead for programmatic campaigns: design tests and measurement, analyze model and campaign performance, deliver actionable insights and optimization recommendations, collaborate with Sales, Customer Success, Product and Engineering to improve campaign effectiveness and measurement.

The Client Insights Lead Analyst will analyze data to drive client growth and revenue and partner with Sales to optimize client strategies.

The Senior Analyst will analyze large data sets, provide data-driven insights, build reporting solutions, and partner with product teams.

Analyze marketing performance and identify opportunities to improve the funnel. Develop insights to influence strategic decisions and support leadership in presentations and meetings.

Build and maintain scalable ETL pipelines and storage for multimodal clinical and NLP data; ensure data quality, security, and compliance; implement synthetic-data generation and real-time model evaluation infrastructure; create dashboards and documentation to support AI research and monitoring.

Partner with leaders to deliver decision-grade analyses and actionable insights; define and maintain KPIs; build and maintain dashboards and data products (Tableau); identify and remediate data quality and instrumentation gaps; collaborate with Analytics and Data Engineering; and leverage AI-assisted tools while ensuring validation and traceability.

The Manager of Media Analytics & Optimization will lead media performance measurement, drive insights for decision-making, and foster collaboration with senior stakeholders, while utilizing skills in analytics and AI.