Top Data & Analytics Jobs in NYC, NY

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.

The Strategic Analytics Lead aligns senior leadership priorities with actionable analysis, integrating diverse data sources to deliver insights and recommendations for decision-making.

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

Analyze end-to-end advisor and client journeys to identify friction, root causes, repeat contacts and rework. Translate interaction and operational data into prioritized, actionable insights, partner across Quality, Operations, Training and Leadership to drive improvements, and create executive-ready dashboards and summaries that demonstrate linkage between insights and business outcomes.

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

Design, implement, and optimize data quality management solutions and governance workflows. Collaborate with data product managers, business SMEs, and engineering to improve data quality, discoverability, lineage, and compliance. Support tool implementation (Anomalo, metadata tools), run data profiling/cleansing, document standards, enable users through training, and participate in Agile delivery and backlog prioritization.

Design, configure, and operate data governance tooling for unstructured and structured data. Implement metadata cataloging, lineage harvesting, automated data quality checks, and governance workflows. Build prototypes, dashboards, and connectors using Python, SQL, Databricks, and Streamlit. Collaborate with stakeholders to define critical data elements, prioritize remediation, produce documentation, and drive tool adoption via trainings and enablement.

Design, implement, and operate data quality and governance solutions using Anomalo, Atlan, Unity Catalog and Databricks. Build automated data quality checks, validation rules, connectors, prototypes and dashboards with Python, SQL and Streamlit. Collaborate with data stewards, product and engineering teams to define CDEs, prioritize remediation, document standards, drive tool adoption, and support Agile delivery using Jira.

The Data Governance Engineer focuses on unstructured data governance, metadata cataloging, data quality management, and collaboration with stakeholders to enhance data compliance and discoverability.

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