Top Data & Analytics Jobs in NYC, NY

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.

The Complex Data Exchange Specialist manages data integration processes, ensuring high-quality data exchange between clients and systems, while mentoring peers and driving process improvements.

Design and implement data management strategies, creating scalable data solutions, and collaborating with teams to address business challenges and ensure data integrity.

Lead strategy, design, and delivery of client- and broker-facing reporting and analytics across DIAL, CARI, and stewardship platforms. Drive data architecture, visualization, governance, and cross-functional integration to improve pre- and post-sales engagement, broker transparency, and business outcomes. Manage a team of analytics professionals, prioritize roadmaps, launch KPI-driven features, and partner with UX, technology, distribution, finance, and operations to scale data storytelling.

Lead design and delivery of scalable analytics engineering solutions: build dbt transformation pipelines on Databricks/Postgres/BigQuery, develop tested dimensional models and feature tables, implement data quality and governance, improve SDLC and CI/CD, create reusable dbt patterns and semantic metrics, and engage stakeholders to translate requirements and mentor junior engineers.

Design, build, and maintain data transformations and models using SQL and dbt to support enterprise reporting and AI initiatives. Implement data quality controls, create analytics datasets, and collaborate with engineering and business teams to deliver trusted dashboards, metrics, and information products.

Design, build, and maintain scalable dbt transformation pipelines and analytical data products on cloud platforms. Own data product lifecycle from source alignment and modeling to deployment, testing, monitoring, and governance. Implement automated data quality, observability, and metadata practices; develop reusable macros and semantic-layer assets. Collaborate with stakeholders, mentor peers, and promote analytics engineering standards to support reporting, advanced analytics, and AI use cases.

The Senior Data Engineer will design and execute data management strategies, build cloud solutions, develop data pipelines, and ensure data quality and integrity.

Partner with workforce and business leaders to analyze headcount, role mix, capacity, cost, and OKRs; build analytical models, present clear data storytelling to senior stakeholders, and improve data quality and reporting to support workforce planning and strategic decisions.

The Data Governance Analyst curates metadata, implements governance workflows, supports data quality checks, and drives governance tool adoption to enhance data strategy.