Top Hybrid Data & Analytics Jobs in New York City, NY

Support asset-level data intake, validation, and exception triage for private markets. Ensure data quality and standardization, perform trend analysis to inform product and process improvements, coordinate onshore/offshore delivery, document operational logic, and collaborate with Product, Data, and Engineering teams to improve workflows and client reporting.

The eCommerce Web Analyst supports teams by analyzing eCommerce data, creating dashboards, conducting A/B tests, and ensuring data accuracy to inform business strategies.

The Senior Associate will analyze business needs, translate them into technical requirements, and collaborate with teams on enterprise-scale tech solutions, primarily in life insurance operations.

Design, build, and optimize SQL and NoSQL database solutions (PostgreSQL, Elasticsearch, DynamoDB). Develop stored procedures, functions, triggers, and complex queries. Implement CDC and AWS DMS, manage platform via GitHub/CI-CD and Terraform, monitor and tune performance, participate in Level 3 on-call, and collaborate with analysts, architects, and developers to deliver scalable data services.

The Senior Data Scientist will lead analytics projects, define success metrics, run experiments, and present data-driven insights to influence product and business strategies.

The Principal Data Engineer at NBCUniversal leads the development of data applications, manages data pipelines, and collaborates with teams while coaching junior engineers. Responsibilities include designing scalable data solutions and integrating AI technologies.

Lead client-facing programmatic analytics: design tests and measurement plans, monitor and report campaign performance, deliver actionable insights and optimization recommendations, and collaborate with product and engineering to improve models and measurement tools.

Own and modernize Upsides analytics data platform: migrate pipelines, reduce cost, improve governance, design reusable modeling/orchestration patterns, deliver domain-critical data products, lead cross-functional initiatives, mentor engineers, and support ML and product teams.

The Senior Revenue Operations Analyst will ensure data quality across systems, integrate third-party data into CRM, define quality metrics, and collaborate cross-functionally to improve data processes.

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.

The Senior Analytics Engineer will design data models, build data pipelines, and support analytics needs across teams, enhancing data infrastructure.

Lead the analytics function at Current, managing embedded analytics teams, guiding complex analyses, and ensuring data-driven insights inform strategic decisions.

The Staff Data Analyst will build data pipelines, analyze retention metrics, and automate dashboards while mentoring other analysts in SQL, Python, and Tableau.