The Morningstar Data Analyst role is an excellent entry-level opportunity for fresh graduates and early-career professionals looking to build a career in data analytics and investment research.
In this role, you will work with diverse datasets such as public equity filings, private market transactions, ESG data, and investment fund data, helping you gain strong domain knowledge in finance. The Morningstar Data Analyst position is ideal for candidates who want to develop expertise in tools like Excel, SQL, and Power BI while working in a structured and learning-focused environment.
If you are detail-oriented, curious, and eager to work with real-world financial data, this opportunity can be a strong starting point for your career.
About Morningstar
Morningstar is a global leader in investment research and financial data services, supporting investors across more than 30 countries.
The company manages and analyzes large volumes of financial data and provides insights that help investors make informed decisions. Known for its principles of independence, transparency, and long-term thinking, Morningstar offers a strong foundation for professionals entering the finance and analytics industry.
Role Overview – Data Analyst
As a Data Analyst at Morningstar, you will be responsible for collecting, verifying, and analyzing financial and investment-related data.
This role provides hands-on exposure to data operations, research methodologies, and analytics tools, making it highly suitable for beginners in the data field.
Key Responsibilities
- Search, collect, and verify financial and investment data
- Work with datasets such as equity filings, ESG data, and fund information
- Handle internal and client queries related to data accuracy
- Ensure data aligns with company methodologies and standards
- Collaborate with teams to resolve data-related issues
- Improve data processes and contribute to innovation initiatives
- Maintain accuracy, quality, and timeliness in data delivery
Eligibility Criteria
To apply for the Morningstar Data Analyst role, candidates should meet the following criteria:
- Bachelor’s degree (preferably in Finance or related field) with minimum 60% marks
- Strong English communication skills (written and verbal)
- Proficiency in MS Office tools, especially Excel and Word
- Ability to learn quickly and adapt to new processes
- Strong attention to detail and analytical thinking
- Ability to manage multiple tasks under deadlines
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Work Environment & Job Details
| Category | Details |
|---|---|
| Role | Data Analyst |
| Experience | Freshers / 0–1 Year |
| Job Type | Full-Time |
| Location | Navi Mumbai, India |
| Shift | Rotational (including night shifts) |
Candidates residing in Mumbai may be preferred for this role.
Salary (Market Estimate) 💰
The estimated salary for the Morningstar Data Analyst role in India is:
| Experience Level | Estimated Salary |
|---|---|
| Freshers (0–1 Year) | ₹3.5 LPA – ₹6 LPA |
Actual salary may vary depending on candidate skills, qualifications, and company policies.
Technical Skills Required
Core Skills
- Advanced Microsoft Excel
- Basic to intermediate SQL
- Knowledge of Power BI or data visualization tools
- Understanding of data analysis concepts
Analytical Skills
- Data validation and quality checks
- Logical reasoning and problem-solving
- Ability to interpret financial data
Soft Skills
- Strong communication skills
- Team collaboration
- Curiosity and proactive mindset
- Time management and prioritization
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Benefits and Perks
Working at Morningstar comes with several benefits:
- Structured training and onboarding programs
- Exposure to global financial data and analytics
- Opportunity to work with diverse datasets
- Career growth in finance and analytics domains
- Collaborative and learning-focused environment
- Participation in innovation and improvement projects
Career Growth Opportunities
This role opens doors to multiple career paths in analytics and finance, such as:
- Senior Data Analyst
- Financial Analyst
- Business Analyst
- Investment Analyst
With experience, you can also transition into advanced roles involving data science, financial modeling, or portfolio analytics.
How to Apply
Interested candidates can apply for the Morningstar Data Analyst role by clicking the apply button below.
Before applying, make sure your resume highlights:
- Strong Excel and data analysis skills
- Basic knowledge of SQL and Power BI
- Any projects related to data analysis or finance
- Certifications in analytics (if any)
Pro Tip:
If you have worked on datasets (even academic projects), showcase how you cleaned, analyzed, and derived insights from the data. Employers highly value practical exposure, even at an entry level.
Disclaimer
This job information is collected from official and publicly available sources. We do not charge any fees for job applications, do not guarantee recruitment, and do not take responsibility for any losses arising from reliance on this information.
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