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

The Compliance Programming Associate will program, mine, and analyze financial data to ensure compliance and develop databases using Oracle and SQL.

Support and manage electronic data for liquidity risk management, conduct quantitative analyses, and maintain relevant databases.

Support and manage data in banking systems, conduct quantitative analyses, maintain databases for risk management, and report findings.

The Associate Manager will lead the implementation of Master Data Management systems, manage client projects, coordinate with data vendors, and provide mentorship and insights to optimize commercial operations for life sciences companies.

The Manager of MDM leads projects for Master Data Management systems, working with teams to ensure successful client engagements in the pharmaceutical and life sciences sector.

Develop and implement interactive dashboards; ensure data quality; provide user support; conduct training; manage data retrieval and reporting tools.

The Director of Data Analytics leads data strategies for wealth management, enhancing reporting, data governance, integration, and self-service analytics to drive data-driven decision-making and performance.

Lead Data Engineer responsible for building and scaling data infrastructure, leading projects, mentoring engineers, and collaborating with cross-functional teams to deliver high-quality data solutions.

The Lead Snowflake Data Engineer will design and deliver data engineering solutions, manage data pipelines, and mentor teams in cloud environments.

Associates at The Brattle Group engage in high-profile economic projects, applying finance theories, managing projects, and developing client relationships in a collaborative environment.

Lead the implementation and optimization of data governance for AI initiatives, managing policies, compliance, and cross-functional collaboration in Microsoft Azure environments.

Seeking an experienced Data Architect / Data Modeler to design scalable data architectures and implement enterprise-wide data modeling initiatives in a Delta Lakehouse environment.

Lead design and delivery of scalable data integration, storage, and infrastructure to enable analytics and AI. Build ETL/ELT pipelines, cloud-native data systems, IaC and CI/CD, ensure SRE practices (SLOs/SLIs), prototype end-to-end solutions, and drive architectural trade-offs while collaborating across teams to transition validated solutions to platform engineering.