Top Data & Analytics Jobs in NYC, NY

The Staff Fraud Analyst develops fraud strategies, optimizes detection processes using SQL and Python, and influences stakeholders to balance security and UX for financial transactions.

The Data Scientist in Finance will analyze financial data, create dashboards, collaborate on data engineering, and find improvements for the business.

Lead client-facing analytics engagements during new community deployments. Scope technical requirements, build and maintain secure bi-directional data pipelines, and develop custom analyses, data models, and dashboards to deliver measurable client value within the first 3–6 months. Coordinate between clients, operations, and data architecture teams; travel up to 25% for on-site work.

Design and build foundational dimensional data models, enterprise metrics, and curated data products on a modern lakehouse. Partner with business domains to translate processes into scalable, high-quality datasets, optimize analytical workloads, and operate distributed processing systems to support analytics, BI, and AI.

The Senior Data Analyst will partner with clinics to analyze financial performance and operational efficiency, design reports, and communicate insights effectively.

Define and lead the long-term technical vision and architecture for GoodRxs data platform. Guide platform modernization, large-scale migrations, scalability, reliability, observability, CI/CD, and developer experience. Mentor engineering teams, author standards and design docs, establish data governance and reusable patterns, and enable analytics, ML/AI workloads across the company.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

Lead GTM analytics for Revenue: build AI-driven reporting systems, set quality and governance for metrics, define go-to-market data model, expand self-serve analytics, advise executives, and hire and grow the analytics team.

Serve as a strategic client-facing advisor for Zeta Data Cloud solutions: demo products, support audience curation, audit accounts, identify intelligence-driven opportunities, train client teams, contribute client feedback to the product roadmap, and support RFPs to drive adoption and growth for agency partners.

Lead the strategy and execution of real-world data capabilities, focusing on data lifecycle management, vendor relationships, and collaboration with various teams to deliver analysis-ready datasets.