Top Data & Analytics Jobs in NYC, NY

Monitor and verify accuracy of live e-sports game data feeds in real time, identify and resolve discrepancies, cross-check multiple sources, escalate issues, and collaborate to streamline processes. Maintain knowledge of schedules, rosters, rule changes, and key metrics to ensure contextual data accuracy throughout the season.

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

The Staff Analytics Engineer leads the design and implementation of data solutions, enhancing analytics capabilities across Zocdoc, collaborating with multiple teams to drive strategic insights.

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.

Business Analysts identify opportunities for improved efficiencies, translate requirements into solutions, and collaborate with clients and development teams to enhance the OEMS platform.

Own and evolve the Collibra meta-model, integrations, and workflows. Design configurations and security/lineage standards, automate workflows, coordinate changes with Pfizer Global Supply, perform risk/impact assessments, and support development/test/production environments to make trusted data discoverable and usable.

Lead pricing, yield management, and global incentive programs for Snap's advertising inventory. Analyze demand, sell-through, pacing, and market signals to recommend revenue-maximizing actions; monitor inventory and delivery trends; design and review incentive requests; build operational efficiencies; extract and present data-driven insights; triage complex sales issues and partner cross-functionally with Sales, Product, Marketing, and Finance.

Conduct research, statistical analyses, and develop automated trading strategies using large data sets and sophisticated statistical techniques.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

Support GTM compensation lifecycle, quota/target setting, and performance analytics. Reconcile commission data across systems, build reporting, model scenarios, and deliver decision-ready insights to RevOps and GTM leaders.