Data Research Analyst

Posted Yesterday
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Toronto, ON, CAN
Hybrid
47K-70K Annually
Junior
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Empowering Investor Success
The Role
Performs Structured Finance security mappings, data quality controls, reconciliations, regulatory dataset validation, and data issue resolution. Maintains metadata, data dictionaries, and data lineage while supporting data governance and AI-ready initiatives. Collaborates with Data, Credit Operations, Technology, and global stakeholders to ensure accurate, complete, timely, and compliant ratings and regulatory data.
Summary Generated by Built In

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 AIready 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 prepublication 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 timesensitive, highquality 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 

Base Salary Compensation Range$47,476.00-$69,634.66

Incentive Target Percentage

7.5% Annual

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.

R06_DBRSInc DBRS, Inc. - US Legal Entity

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 with 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

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Morningstar Compensation & Benefits Highlights

  • 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.
  • 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.
  • 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.

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The Company
HQ: Chicago, IL
11,500 Employees
Year Founded: 1984

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.

Typical time on-site: 3 days a week
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