Top Data & Analytics Jobs in NYC, NY

Analyze business challenges and opportunities across business cards and payments, developing strategic recommendations, product and pricing models, marketing insights, credit risk models, and implementation plans. Partner cross-functionally with IT, Sales, Operations, and Finance to improve quality, volume, service, and profitability. Use quantitative analysis, statistical modeling, market research, and SQL to support product strategy and credit risk management.

Leads data analysis for Capital One Travel, partnering with product and engineering teams to define KPIs, build dashboards, conduct deep-dive analyses, design A/B tests, troubleshoot tracking and data issues, and improve data models. The role supports product decisions, operational improvements, and accessible, reliable data across complex travel databases. It also requires collaboration with stakeholders and hands-on use of AI-powered tools for data and code investigation.

Drive strategy and analytics for enterprise AI coding tools. Define usage, cost, effectiveness, and adoption metrics; analyze telemetry and business data; build scalable QuickSight reporting; ensure data quality and consistent definitions; partner with analysts, engineers, and product teams; and translate complex findings into executive-ready narratives, presentations, and actionable business recommendations.

Performs data analysis, business intelligence, data management, and data quality work for Emerging Payments and AirKey. Builds data solutions, dashboards, metrics, and self-service tools; analyzes complex structured and unstructured data; partners with business and technology teams; and supports metadata, lineage, data governance, security, access controls, and data quality monitoring using Python, R, Spark, SQL, Snowflake, and AWS.

Design, build, and lead scalable cloud data pipelines, platforms, and end-to-end data solutions. The role involves distributed data engineering, data modeling, relational and NoSQL databases, real-time processing, warehousing, architecture decisions, and evaluating platforms such as Snowflake and Databricks. Responsibilities also include mentoring engineers, enforcing engineering standards, collaborating across Agile teams, and delivering transformative data initiatives independently.

Analyzes business challenges and opportunities for Capital One Shopping, developing strategic recommendations, product and pricing models, credit risk models, marketing insights, and monitoring plans. Leads cross-functional initiatives with IT, Sales, Operations, and Finance to improve growth, profitability, customer experiences, and credit performance. Requires strong quantitative analysis, communication, business judgment, and execution skills.

Leads data analysis strategy, modeling, reporting, experimentation, and process improvement using large and complex datasets. Manages and mentors junior analysts, collaborates across business units, supports business intelligence initiatives, and contributes to data products, dashboards, testing frameworks, and operational efficiency improvements. The role involves programming, database analysis, strategic project ownership, and stakeholder consultation in a hybrid environment.

Leads enterprise analytical tool validation, assessing methodology quality, technical risks, usage, and opportunities. Plans validation projects, researches emerging analytical practices, prototypes solutions, communicates findings through reports and presentations, and mentors junior staff. The role requires extensive data analysis, open-source data technology development, statistical or econometric modeling, large-scale data analysis, governance, predictive analytics, and people management.

Analyze complex data, build self-service data solutions, develop business intelligence dashboards, and deliver strategic insights. Manage data quality, metadata, lineage, access governance, and monitoring. Partner with business and technology teams while using Python, R, Spark, SQL, AWS, and visualization tools. The role requires substantial data analytics, scripting, querying, business intelligence, data governance, and process improvement experience.

Own product analytics strategy for a retail banking product, influencing roadmap and investment decisions through experimentation, causal inference, statistical modeling, and KPI frameworks. Query and transform large datasets using SQL, Python, or R; design and analyze A/B tests; identify growth opportunities; and communicate actionable insights to Product, Engineering, Finance, Research, and executive stakeholders.