Data Research Analyst

Job Description

The Role 

Morningstar DBRS is seeking a Data Research Analyst to join our Data Management team supporting Structured Finance security mappings and enterprise data initiatives. This role is responsible for ensuring the accuracy, completeness, and timeliness of critical ratings and regulatory datasets, while contributing to broader data governance and AI‑ready data standards across the organization. 

This position offers exposure to fixed income data and AI / Data governance functions and works closely with global stakeholders across Data, Credit Operations, and Technology teams. 

The Responsibilities: 

• Perform Structured Finance security mappings, ensuring accuracy and completeness of identifiers. 

• Execute daily data quality controls across production datasets, including pre‑publication validations and reconciliations against external sources. 

• Contribute to data governance and AI ready initiatives, including population and maintenance of metadata, data dictionary, and mapping out data lineage 

• Investigate, resolve, and document data issues in collaboration with internal stakeholders. 

• Support regulatory and reporting processes, including execution of data quality checks aligned to regulatory standards 

• Reconcile regulatory datasets and reporting outputs to ensure consistency and compliance 

 The Requirements: 

• Bachelor’s degree in Business, Economics, Finance, Data Science or Management Studies 

• 1–3 years of experience in data governance, data operations, analytics, or financial services 

• Strong attention to detail and ability to work with time‑sensitive, high‑quality data 

• Proven ability to analyze, reconcile, and validate datasets from multiple sources 

• Proficiency in Microsoft Excel; experience with databases or SQL is an asset 

• Strong written and verbal communication skills, with the ability to collaborate across teams 

The Preferred Qualifications: 

• Experience related to Structured Finance, credit ratings, or capital markets data 

• Experience with data governance, metadata, or data quality frameworks 

• Experience working with AI initiatives and projects 

Total Cash Compensation (Base Plus Bonus Target) $59,900 to $87,850

Compensation and Benefits

At Morningstar we believe people are at their best when they are at their healthiest. That’s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:

• Financial Health

• 100% 401k match up to 6% of salary

• Stock Ownership Potential

• Company provided life insurance - 1x salary + commission

• Physical Health 

• Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages

• Additional medical Wellness Incentives - up to $300-$600 annual

• Company-provided long- and short-term disability insurance

• Emotional Health 

• Trust-Based Time Off

• 6-week Paid Sabbatical Program

• 6-Week Paid Family Caregiving Leave

• Competitive 8-24 Week Paid Parental Leave

• Adoption Assistance

• Leadership Coaching & Formal Mentorship Opportunities

• Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses

• Tuition Reimbursement

• Social Health 

• Charitable Matching Gifts program

• Dollars for Doers volunteer program

• Paid volunteering days

• 15+ Employee Resource & Affinity Groups

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.