Morningstar is hiring for the Data Analyst role in Vashi, Navi Mumbai. This entry-level opportunity is part of the company’s Data and Operations group and is suitable for fresh graduates and candidates with relevant experience.
The role involves collecting, researching, verifying, and maintaining financial and investment-related datasets. Candidates can gain practical exposure to public equity filings, private market transactions, ESG taxonomies, managed investment data, and reference entity data.
The position is particularly relevant to graduates interested in finance, investment management, data operations, and analytics. Morningstar also offers structured training, mentoring, and opportunities to participate in projects beyond core responsibilities.
Job Details
| Details | Information |
|---|---|
| Company | Morningstar |
| Job Role | Data Analyst |
| Department | Data Science & Analytics |
| Job Location | Vashi, Navi Mumbai, Maharashtra |
| Experience | Freshers / up to 1 year according to the detailed job description |
| Naukri Experience Range | 0–2 years |
| Qualification | Bachelor’s degree, preferably in finance |
| Minimum Marks | 60% |
| Employment Type | Full-Time, Permanent |
| Work Environment | Primarily office-based, with flexibility under company policy |
| Key Skills | Excel, SQL, Power BI, data handling |
| Shift | Rotational shifts, potentially including night shifts |
| Salary | Not disclosed |
| Application Source | Morningstar Careers / Naukri |
Note: The Naukri summary displays 0–2 years, while the detailed job description says fresh graduates and professionals with up to 1 year of experience. Candidates should confirm eligibility on the application page.
About Morningstar
Morningstar is a global investment research and financial data company. Its mission is to empower investor success through data, research, and technology.
The company provides investment information, research, and tools to help individuals and institutions make informed financial decisions. Its work covers areas such as investment research, data management, investment management, credit analysis, and technology.
Morningstar emphasizes independence, transparency, long-term thinking, and professional development. Its careers website also highlights opportunities across finance, technology, data management, and investment research.
About the Job
The Morningstar Data Analyst position is part of the Data and Operations group. The team works with diverse datasets used in investment research and financial information services.
The selected candidates will search for data, verify its accuracy, respond to internal or client queries, and follow established research methods and data policies.
This role can help candidates develop an understanding of financial markets and investment management while strengthening their data-handling, research, and analytical skills.
Job Responsibilities
As a data analyst at Morningstar, your responsibilities may include:
- Search, collect, and verify data of basic and intermediate complexity.
- Work with public equity filings and financial information.
- Handle private market transaction data.
- Work with ESG taxonomies and managed investment data.
- Maintain and verify reference entity data.
- Respond to internal and client queries related to data.
- Ensure captured information follows established methodologies and policy guidelines.
- Learn research methods and process standards.
- Maintain productivity, accuracy, quality, and timely delivery.
- Collaborate with team members and cross-functional teams to resolve data issues.
- Coordinate with external parties when required.
- Identify opportunities to improve processes and tools.
- Participate in stretch projects or additional assignments where available.
Required Skills
Candidates should focus on developing the following skills:
Technical Skills
- Microsoft Excel
- Microsoft Word
- SQL fundamentals
- Power BI fundamentals
- Data handling and data verification
- Microsoft Office tools
- Basic financial and investment data knowledge
- Research and information validation
Excel and Word proficiency are specifically mentioned in the detailed job description. SQL and Power BI are highlighted as important skills for developing expertise in the role.
Analytical and Professional Skills
- Attention to detail
- Written and verbal English communication
- Reading and comprehension skills
- Quick learning ability
- Analytical thinking
- Curiosity and a proactive mindset
- Task prioritization
- Ability to meet deadlines
- Team collaboration
- Problem-solving skills
Eligibility Criteria
According to the detailed vacancy information, candidates should meet the following criteria:
- Hold a bachelor’s degree, preferably in finance.
- Have at least 60% marks, as specified in the job description.
- Be a fresh graduate or have up to one year of professional experience, according to the detailed description.
- Demonstrate English communication and comprehension skills.
- Be proficient in Microsoft Office tools, particularly Excel and Word.
- Be able to learn research processes and handle data accurately.
- Have a proactive mindset and attention to detail.
- Be able to prioritize tasks and work under tight deadlines.
Location Preference
The position is permanently based in the Mumbai office, and the vacancy states that preference will be given to candidates residing in Mumbai.
Candidates should also be comfortable working in rotational shifts, including possible night shifts.
Salary & Benefits
Salary
The salary/CTC has not been disclosed in the official job notification.
Candidates should verify compensation details with Morningstar during the recruitment process.
Benefits and Development Opportunities
The job description highlights the following opportunities and workplace features:
- Hands-on professional experience.
- Structured training.
- Mentoring and career development workshops.
- Stretch projects and additional assignments.
- Opportunities to improve processes and tools.
- A collaborative work environment.
- Workplace flexibility under the company’s current policy.
- Shift allowances for rotational-shift work.
The job description says employees may work remotely up to two days per week under the current workplace flexibility policy. The role also has a strong in-office culture, so candidates should confirm the applicable arrangement during recruitment.
Selection Process
The detailed job description outlines the following selection process:
**Online Assessment**
The assessment includes finance domain knowledge, cognitive ability, English language skills and a typing test.
**Candidate Information Session**
Candidates who clear the assessment attend a session introducing Morningstar, its business areas and what to expect after joining.
**Two Interview Rounds**
Shortlisted candidates proceed through two rounds of interviews. Candidates can also use this opportunity to ask questions about the role and the company.
Morningstar states that only shortlisted candidates will be contacted by its recruitment team.
Who Should Apply?
This opportunity may be suitable for:
- Fresh graduates looking for their first full-time job.
- Graduates with a finance- or related academic background.
- Candidates interested in financial data and investment research.
- Applicants with good Excel and Microsoft Office skills.
- Candidates who want to develop SQL and Power BI skills.
- Detail-oriented candidates who enjoy research and data verification.
- Applicants with strong English communication skills.
- Candidates comfortable working in rotational shifts.
- Candidates residing in Mumbai or willing to work from Vashi, Navi Mumbai.
Resume Tips
For this position, prepare a resume that highlights your data-handling ability, attention to detail, and interest in finance.
Recommended Resume Keywords
- Data Analyst
- Financial Data
- Investment Management
- Data Operations
- Data Research
- Microsoft Excel
- Microsoft Word
- SQL
- Power BI
- Data Validation
- Data Quality
- Data Collection
- Financial Research
- Equity Research
- ESG Data
- Reference Data
- Analytical Skills
- Attention to Detail
- Process Improvement
- Communication Skills
Resume Preparation Tips
- Mention your degree, specialization, and academic percentage clearly.
- Highlight Excel skills such as sorting, filtering, lookup functions, and pivot tables if you know them.
- Include any SQL or Power BI projects you have completed.
- Mention finance-related coursework or projects if applicable.
- Describe projects where you collected, checked, cleaned, or analyzed data.
- Highlight your ability to meet deadlines and maintain accuracy.
- Keep your resume concise, clear, and free from spelling errors.
Do not list a tool or skill as proficient unless you can explain or demonstrate your knowledge of it during an assessment or interview.
How to Apply
Interested candidates should apply through Morningstar’s official careers portal or the relevant Naukri vacancy.
Before submitting the application:
- Review the educational qualification and marks requirement.
- Check the detailed experience eligibility, since the summary and description show different experience ranges.
- Prepare an updated resume highlighting Excel, SQL, Power BI, and data-handling skills.
- Confirm that you can work from the Vashi, Navi Mumbai, office.
- Be prepared for rotational shifts, including possible night shifts.
- Review the application page for the latest vacancy status and instructions.
Apply Now
Company: Morningstar
Position: Data Analyst
Location: Vashi, Navi Mumbai
Experience: Freshers / up to 1 year in the detailed job description
Qualification: Bachelor’s degree, preferably in finance
Minimum Marks: 60%
Job Type: Full Time, Permanent
Salary: Not disclosed
Official careers: Morningstar Careers
Official job listing: Morningstar Data Analyst – Workday.
Important Note
The job description specifies 60% marks, English communication skills, Microsoft Office proficiency, and flexibility to work rotational shifts. Candidates should pay particular attention to the office location in Vashi, Navi Mumbai.
The Naukri summary lists an experience range of 0–2 years, whereas the detailed job description says fresh graduates and candidates with up to one year of experience. Verify the current eligibility criteria before applying.
Disclaimer
The information provided in this post is for informational purposes only and is based on publicly available job information. JobHunt Daily does not guarantee selection or employment.
Candidates should verify the latest job details on the company’s official careers website before applying. We do not charge any fee for providing job information.
FAQs
1. What is the job role at Morningstar?
Morningstar is hiring for the Data Analyst position in its Data and Operations group.
2. Where is the job located?
The work location is Vashi, Navi Mumbai, Maharashtra.
3. Can freshers apply for the Morningstar Data Analyst job?
Yes. The detailed job description says the role is open to fresh graduates and professionals with up to one year of experience.
4. What qualification is required?
Candidates should have a Bachelor’s degree, preferably in Finance, with 60% marks as specified in the job description.
5. What are the important skills for this role?
Important skills include Excel, Word, SQL, Power BI, data handling, English communication, attention to detail and analytical thinking.
6. Is SQL mandatory?
SQL is highlighted as a relevant skill in the vacancy summary. Candidates should check the current application page for the final requirements.
7. Is Power BI required?
Power BI is highlighted as an important skill for the role. The detailed description also emphasizes structured training and skill development.
8. What is the salary for this job?
The salary/CTC has not been disclosed in the official job notification.
9. Does Morningstar require rotational shifts?
Yes. Candidates may need to work rotational shifts, including night shifts. Shift allowances are mentioned in the job description.
10. What is the selection process?
The stated process includes an online assessment, a candidate information session for those who clear the assessment, and two interview rounds for shortlisted candidates.
11. Is the job work from home?
The role is permanently based in the Mumbai office. The job description mentions a workplace flexibility policy that may allow remote work up to two days per week, subject to the company’s current arrangements.
12. What should I prepare for the online assessment?
Based on the vacancy, prepare for finance domain knowledge, cognitive ability, English language and typing.
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