Top Senior Data & Analytics Jobs in NYC, NY

As a Lead Data Analyst, you'll optimize transaction costs and success rates in payments, analyze failure patterns, and collaborate with Data Science and Engineering to enhance payment strategies and model performance.

The VP of Alternative Data Strategy drives sourcing, prioritisation, and implementation of alternative datasets, aligning data opportunities with investment strategies and governing data usage across teams.

The SVP of Data Platform will lead the strategy and architecture for enterprise data infrastructure, manage a high-performing team, and drive data governance and AI readiness.

Design and implement data pipelines, manage data with SQL and Python, automate workflows, ensure data integrity, and build scalable data solutions on AWS and Redshift.

The Senior Business Manager for Product Analytics will lead strategic initiatives, manage product analytics, and drive improvements in product development by applying analytical skills and collaborating with cross-functional teams.

As a Senior Forward Deployed Accountant, you will architect and automate accounting processes, engage with CFOs, troubleshoot technical issues, and drive AI-driven transformation across enterprise accounts.

Lead the Customer Analytics team to drive business growth through customer insights and analytics. Collaborate with cross-functional teams to design data-driven strategies and ensure analytics rigor. Manage talent and promote a culture of insightfulness within the team.

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.