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.
Skills Required
- 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
- Ability to analyze, reconcile, and validate datasets from multiple sources
- Proficiency in Microsoft Excel
- Strong written and verbal communication skills and ability to collaborate across teams
- Experience with databases or SQL
- 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
What the Team is Saying
Morningstar Compensation & Benefits Highlights
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Leave & Time Off Breadth — Policies include a paid sabbatical every four years and flexible PTO covering vacation, sick, and personal days, alongside paid volunteer time. Feedback suggests these features create meaningful flexibility and rest opportunities beyond standard leave plans.
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Parental & Family Support — A global minimum of 16 weeks paid parental leave for primary caregivers (up to 8 weeks for secondary) and at least six weeks of paid caregiving leave are publicly stated, with adoption assistance also available. These provisions indicate robust support for families during key life events.
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Retirement Support — U.S. materials document a 401(k) match of $0.75 per $1 up to 7% of pay and no‑cost access to Morningstar retirement tools. This combination strengthens long‑term savings and planning for employees.
Morningstar Insights
What We Do
At Morningstar, we believe in building great products in-house in a highly collaborative, agile environment where we focus on technical excellence, the user experience, and continuous improvement. Our technologists represent a range of skills and experience levels, but they all view their work as a craft and push technology’s boundaries.
Why Work With Us
Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!
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Morningstar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
