Data Research Analyst

About Morningstar:
Morningstar is a leading global provider of independent investment insights, serving both individual and institutional investors across public and private markets. Our offerings include a wide range of data, research, and investment management services, with $300+ billion in assets under management. Operating in 32 countries, Morningstar supports financial advisors, asset managers, retirement plan providers, and more with comprehensive investment solutions.
The role:
As a Data Analyst within Morningstar's Performance & Portfolio Operations team, you will play a pivotal role in ensuring the accuracy, completeness, and timeliness of investment performance data and portfolio information. You will work cross-functionally with data research teams, operations, and client service groups to maintain high data quality standards for thousands of funds and portfolios globally.
Key Responsibilities:

• Analyze performance calculations and methodologies to ensure compliance with industry standards.
• Manage escalations and troubleshoot data anomalies in collaboration with data providers and internal teams.
• Develop and maintain automated validations, reports, and analytical tools to improve data workflows.
• Partner with IT and database teams to optimize data extraction, transformation, and loading (ETL) processes.
• Provide mentorship and guidance to junior analysts and contribute to team knowledge sharing and training.
• Support month-end and quarter-end close cycles for performance data delivery and audit processes.
• Collaborate with product managers and client-facing teams to ensure timely communication around data issues and enhancements.
• Participate in continuous process improvement initiatives using methodologies like Lean Six Sigma.

Requirements

• 2+ years of experience in financial data analysis, preferably within mutual funds, ETFs, or portfolio operations.
• Proficiency in SQL and Excel for data querying, transformation, and analysis.
• Understanding of portfolio performance concepts (time-weighted returns, money-weighted returns), NAV, and dividend mechanics.
• Experience with data quality frameworks, anomaly detection, and root cause analysis.
• Knowledge of investment fund structures, pricing policies, and regulatory reporting requirements.
• Good communication skills, with the ability to translate complex data issues for non-technical stakeholders.
• Detail-oriented with strong analytical and problem-solving capabilities.

Ready to Shape the Future? At Morningstar, every hire we make strengthens our mission to empower investor success. Apply now and help shape the future of investing with us
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
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