Top Data & Analytics Jobs in NYC, NY

Lead analytical efforts to inform product, pricing, marketing, and credit risk strategies. Build and test models, perform SQL-based analysis, develop recommendations, drive implementation with cross-functional partners, and monitor results to improve profitability and customer experience.

Analyze complex data, build self-service data solutions, and develop business intelligence tools, metrics, dashboards, and visualizations. Partner with business and technology teams to deliver strategic insights, manage data quality, metadata, lineage, definitions, security, and access governance. The role requires scripting, data querying, Snowflake development, business intelligence visualization, and experience with data management and governance.

As a Senior Lead Data Engineer, you will design, develop, and support data solutions, optimize systems, and collaborate within Agile teams to leverage technology for business transformations.

Serve as strategic thought partner to the Chief Data Officer; lead enterprise data strategy projects, conduct qualitative and quantitative analysis, craft insight-driven narratives, influence senior stakeholders, build cross-enterprise partnerships, manage teams and projects, and drive execution of data priorities to improve business outcomes.

Lead data analytics for network and merchant compliance: design tests, build models and reporting, mine large datasets, improve data quality and processes, advise stakeholders on risk, and manage a team to implement compliance analytics solutions.

Lead Data Engineer designs, develops, tests, and supports cloud-based, distributed data solutions. Collaborates across Agile teams, mentors engineers, works with big data, streaming, NoSQL and data warehouse technologies, and ensures performant, well-tested code for customer-facing products.

Lead Data Engineer designs, builds, and supports cloud-based data solutions for risk management. Collaborates across Agile teams to implement distributed, real-time, and ML-enabled data platforms using cloud, big data, and database technologies, mentors engineers, and ensures code quality and performance.

Lead data analytics for the Hotels Travel Agency team: define KPIs, build dashboards, run A/B tests, conduct deep-dive analyses, troubleshoot tracking and data quality, and partner with product and engineering to improve data models and accessibility.

Lead and mentor a data engineering team to design, develop, test, and support cloud-based big data and streaming solutions. Build full-stack data pipelines using Java/Scala/Python, RDBMS/NoSQL, Redshift/Snowflake, and cloud platforms. Collaborate with product managers, perform unit tests and code reviews, and promote engineering best practices and tech community engagement.

Lead design, develop, test, implement, and support cloud-based data solutions. Collaborate across Agile teams on distributed systems, streaming, data warehousing, and big data tooling. Mentor engineers, perform unit tests and code reviews, and deliver scalable data platforms to support ML and product teams.