Top Data & Analytics Jobs

Compile, review, analyze, and report financial program/project data. Create Excel reports and pivot tables or PDFs for senior management. Communicate with stakeholders and deliver accurate results on deadline.

Support a book of business by validating, transforming, and reconciling data, managing daily processing and file audits, generating reporting outputs for outreach, creating file configuration specs, resolving discrepancies with stakeholders, and driving process improvements to ensure regulatory compliance and operational efficiency.

Lead and operationalize data governance: develop standards, policies, metadata, glossaries and lineage (Collibra); manage CDEs; resolve governance issues; define metrics and SLAs; coach and lead analysts; collaborate with Business, Technology, Operations and D&A teams.

Lead design and execution of data governance policies, metadata management, lineage, and stewardship. Develop standards, tools, and training; manage governance platforms (e.g., Collibra); identify Critical Data Elements; monitor metrics and SLAs; resolve governance issues; collaborate across Business, Technology, and D&A teams; and provide people leadership to coach and develop data governance talent.

The Lead Data Engineer will design and build data architectures, lead a team, and develop ETL processes using cloud technologies to optimize data solutions for the U.S. business.

Lead the Customer Analytics team to drive business growth through customer insights and analytics. Collaborate with cross-functional teams to design data-driven strategies and ensure analytics rigor. Manage talent and promote a culture of insightfulness within the team.

Translate business requirements into scalable conceptual, logical, and physical data models. Design and optimize dimensional models for performance and scalability on on-prem and cloud (Azure Synapse, Databricks). Ensure data model integrity, perform profiling/validation, maintain data dictionaries and metadata repositories, produce ER diagrams, mentor junior modelers, lead solution design and estimations, and collaborate with Business, Technology, Operations, and D&A teams.

The Enterprise Data Architect designs and manages data architecture strategy and governance, ensuring data assets drive business insights and align with organizational objectives.

The manager will oversee the implementation of the Data Governance framework, lead transformation programs, and provide training to teams and executives.

Design and maintain the Investment Domain Model and canonical data structures. Translate business requirements into logical and implementation-ready data models, guide JSON Schema implementation, ensure conformance across applications and integrations, promote reuse and standardization, and collaborate with business and technology teams on multiple investment data design efforts across asset classes and platforms.