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Morningstar

Senior Data Research Analyst

Posted Yesterday
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Hybrid
Navi Mumbai, Thane, Maharashtra
Mid level
Hybrid
Navi Mumbai, Thane, Maharashtra
Mid level
The Senior Data Research Analyst collects investment data, manages vendor relationships, resolves data issues, and contributes to data integration projects and quality improvements.
The summary above was generated by AI

Key Responsibilities:• Collect managed investment data using Morningstar collection systems, ensuring timeliness, completeness, and accuracy to meet business goals.• Manage relationships with asset management companies, insurance companies, and other data vendors.• Collaborate with quality assurance, product, and technical teams to resolve data issues efficiently.• Contribute to initiatives focused on consolidating global data collection platforms and supporting database integration projects.• Set and achieve Objectives & Key Results (OKRs) with guidance from team leads.• Monitor, analyze, and execute summary reports, investigating potential data errors to improve data collection and quality processes using Lean Six Sigma tools
. • Identify and raise issues in systems, processes, and methodologies, proposing enhancements to improve functionality, efficiency, and data quality.• Participate in data- and process-related projects, including market research, market expansion, process certification, and support for new product development.• Facilitate cross-team projects by implementing approved solutions based on priority and impact
. • Take ownership of processes, serving as a trainer and mentor to team members.
Requirements:• Minimum of 3 years' experience in the finance domain, focusing on data collection, methodologies, or a senior data research analyst role.• Experience with Fund Data is preferred.• Proficiency in MS Office (Excel, PowerPoint, etc.); advanced users preferred. Knowledge of SQL or Python and exposure to AI/ML technologies is a plus.• Strong critical thinking and communication skills, both written and verbal.• Expertise in data-related competencies such as content analysis and data analytics.• Demonstrated analytical and problem-solving capabilities, with a track record of effective reporting and written communication.• Team-oriented with strong learning ability and self-motivation to excel in an independent, fast-paced environment.• Ability to manage planned activities such as training, mentoring new hires, and conducting quality checks.• Ability to meet deadlines and handle pressure during peak seasons
. • Proven project management skills with the ability to deliver projects independently. • Flexibility to work in shifts as required
Morningstar is an equal opportunity employer
Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days 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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AI
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Morningstar
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