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Date Posted
14-Jul-2026
Location
Maharashtra (MH), 1
Job Type
Full Time
Company
Huntsman
Description
Job Title: Data Research Analyst
Location: Vashi, Navi Mumbai (Hybrid – 3 days WFO, 2 days WFH)
Shift: AU / UK / US (Flexible shifts)
Job Type: Full-time
About Morningstar:
Morningstar is one of the world’s largest independent sources of fund, equity, and credit data and research. We support investor advocacy through in-depth analysis and provide global market data across stocks, funds, ETFs, indexes, and other investment vehicles.
Role Overview:
As a Data Research Analyst, you will be responsible for collecting, analyzing, and maintaining accurate investment data from a variety of sources. This role requires analytical thinking, attention to detail, data interpretation skills, and collaboration with global teams to ensure high data quality and support business objectives.
Key Responsibilities:
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Collect, interpret, and manage fund and investment data using internal systems.
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Ensure data accuracy, completeness, and timeliness, meeting internal quality benchmarks.
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Own data quality control processes to ensure product and client requirements are met.
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Maintain and strengthen relationships with external data vendors and fund houses.
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Deepen knowledge of regional data, methodologies, and investment products.
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Participate in team discussions, raise concerns, and contribute to process and methodology decisions.
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Drive process improvement using Lean Six Sigma, automation, and continuous improvement practices.
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Collaborate with quality assurance, product, and technical teams to resolve data-related issues.
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Identify automation opportunities and support their implementation with leadership.
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Manage performance effectively during high-pressure periods and deadlines.
Requirements:
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Bachelor's degree or higher in Finance, Economics, Business, Mathematics, or Statistics.
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1–2 years of experience in data analysis or research; knowledge of capital/secondary markets preferred.
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Strong MS Office skills, especially Excel and PowerPoint.
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Hands-on experience with SQL and database management (advanced users preferred).
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Familiarity with data visualization tools (e.g., Tableau, Power BI).
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Passion for learning and working with emerging AI/GenAI technologies.
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Excellent analytical, problem-solving, communication, and reporting skills.
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Flexibility to work in rotational shifts (AU, UK, US time zones).
Work Culture & Benefits:
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Hybrid model: 3 days in-office and 2 days remote per week.
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Work-life flexibility with collaboration across global teams.
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Inclusive, innovation-driven, and supportive workplace environment.
Would you like me to help you create a tailored resume for this position or a matching cover letter?
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