Top Data & Analytics Jobs in NYC, NY

Leads enterprise data analytics and insights initiatives, using statistical modeling, predictive analytics, dashboards, and performance metrics to guide strategic decisions. Partners with Digital Services, Operations, Product, Technology, and executive stakeholders to establish objectives, identify opportunities, optimize performance, and drive data-informed decision-making. Manages cross-functional analytics projects, communicates recommendations to leadership, and mentors team members.

Provide consultative reporting and analytics for large Group Benefit Solutions clients, translate claims data into actionable insights, develop and present recommendations, build new reporting capabilities, collaborate with underwriting and account teams, troubleshoot data issues, and support operational improvement and analytics projects.

Build and maintain dbt data models and pipelines, implement real-time ingestion with PySpark and AWS Glue, and process distributed data in Databricks. Apply software engineering practices, review Git pull requests, partner with data scientists and stakeholders, translate requirements into Jira stories, and support data governance, quality, integrations, and deployment across the enterprise.

The Data Governance Engineer advances data governance initiatives, focuses on metadata cataloging, lineage harvesting, and governance workflows, and collaborates on data quality and compliance.

The Data Governance Analyst will design and implement data governance practices, maintain metadata, and enhance data quality and compliance, collaborating with teams across the enterprise.

Design and execute enterprise data architecture strategy, including logical, physical, operational, and analytical data models. Establish data management, governance, quality, privacy, and security standards while supporting scalable cloud data platforms. Collaborate with product owners, architects, engineers, data scientists, and business teams to translate requirements into data solutions. Lead modernization, legacy simplification, performance optimization, integration, streaming, and organizational change initiatives across insurance and financial services data environments.

Lead development and operationalization of enterprise data risk frameworks, KRIs/KPIs, and risk registers. Produce dashboards and reporting, track remediation, partner with data, technology, risk, and compliance teams, and support data protection, governance, and adoption activities across cloud data environments.

Lead production of operational intelligence by integrating data from ServiceNow, Amazon Connect, Jira and other platforms. Build KPI frameworks, executive dashboards, and reports to drive prioritization, adoption, and measurable outcomes. Translate complex operational data into actionable recommendations, advance AI/automation and knowledge management, and partner cross-functionally to improve release, change, and field technology performance.

Lead a small second-line team providing independent oversight of enterprise data governance. Assess governance frameworks, data ownership, quality controls, risk identification, and regulatory alignment. Deliver actionable insights to senior management, partner with first-line teams to improve governance maturity, and validate controls and issue management practices across the firm.

The Data Governance and Stewardship Lead will develop and implement a data governance framework, ensuring data quality and compliance, and collaborating with business and technology teams.