Top Data & Analytics Jobs

Entry-level internship to develop expertise in Morningstar data and products, support data processes, ensure data accuracy and deadlines, assist analysts, and participate in training and projects to build skills for future roles.

Lead design and execution of an enterprise data controls and governance program. Assess controls, define standards, implement data quality checks and monitoring, support platform migrations, and enable AI-ready data. Partner with cross-functional teams, manage a team of analysts, and ensure regulatory compliance for critical ratings and enterprise datasets.

Lead development and execution of enterprise data controls and governance. Assess controls, close gaps, implement data quality checks and monitoring, define standards and documentation, support platform migrations and AI initiatives, partner with cross-functional teams, and manage/coaching a team of data analysts to ensure regulatory-compliant, high-quality data.

Support EMEA data team in collecting, maintaining, and validating investment data. Ensure data quality, coverage, and timeliness; assist meeting production deadlines; analyze data points; support project teams and process improvements; liaise with fund companies and third-party providers; organize team activities and use LEAN Six Sigma methodologies for issue resolution.

Twelve-month internship supporting collection, verification, and delivery of financial data across global markets. Work with global data teams and fund companies to resolve data issues, set up acquisition channels, document client requests, and apply project management practices to improve workflows and data quality.

Senior Data Research Analyst responsible for ensuring high-quality, timely investment data across global markets. Collaborate with global and local teams, manage data acquisition and provider relationships, improve processes and tools, track data quality metrics, translate client requests into specifications, and support cross-functional projects using Excel, SQL and automation.

Develop and launch benchmark indexes across asset classes: validate and curate data, design methodologies, collaborate with research and product teams, and operationalize index implementations throughout the product lifecycle.