If you are searching for a strong entry-level career in finance and data management, this Data Analyst opportunity in Navi Mumbai can be an excellent starting point. The role offers exposure to global datasets, structured training, and hands-on experience in investment research and financial data operations.
This position is ideal for fresh graduates and early-career professionals who want to build analytical skills, learn financial data methodologies, and grow within a globally recognized investment research environment.
Data Analyst – Quick Overview
| Particulars | Details |
|---|---|
| Role | Data Analyst |
| Location | Vashi, Navi Mumbai |
| Job Type | Full-Time |
| Category | Data Management |
| Experience | Freshers to 1 Year |
| Qualification | Bachelor’s Degree (Preferably Finance) |
| Minimum Marks | 60% |
| Joining | Q2 2026 |
| Work Model | Hybrid (4 Days In-Office) |
| Shifts | Rotational (Including Night Shifts) |
The Data Analyst role is permanently based in Navi Mumbai, with preference given to candidates residing in Mumbai.
About the Company
Morningstar is a global leader in independent investment research. The organization supports investors across 32+ countries and manages over $300 billion in assets under management. Its mission is to empower investor success through data, research, and technology.
Working as a Data Analyst here means contributing to financial transparency, accurate research, and global investment insights.
What Does a Data Analyst Do?
As a Data Analyst, your primary responsibility will be to collect, verify, and manage financial data across multiple domains such as:
- Public equity filings
- Private market transactions
- ESG taxonomies
- Managed investment data (funds)
- Reference entity data
This role helps you develop expertise in financial data management and analytical processes.
Key Responsibilities of Data Analyst
1. Data Collection and Verification
A Data Analyst will:
- Search and collect financial datasets
- Verify data accuracy
- Ensure alignment with policy guidelines
- Maintain quality and timeliness standards
Attention to detail is critical in this role.
2. Query Resolution and Collaboration
The Data Analyst will:
- Address internal and client queries
- Collaborate with cross-functional teams
- Resolve data discrepancies
- Follow structured research methodologies
3. Process Improvement and Innovation
Beyond core responsibilities, a Data Analyst can:
- Participate in stretch projects
- Suggest process improvements
- Improve tools and workflow efficiency
Skills Required for Data Analyst Role
Technical Skills
- Proficiency in MS Excel
- Basic understanding of SQL
- Familiarity with Power BI (preferred)
- Strong typing skills
- Good knowledge of financial fundamentals
Soft Skills
- Strong English communication
- Analytical mindset
- Attention to detail
- Ability to meet deadlines
- Quick learning ability
A successful Data Analyst combines technical accuracy with clear communication.
Eligibility Criteria
To apply for the Data Analyst role, candidates must:
- Hold a Bachelor’s degree (preferably Finance)
- Have minimum 60% marks
- Be comfortable with rotational shifts
- Be willing to work in Navi Mumbai
Fresh graduates and candidates with up to one year of experience can apply.
Hiring Process for Data Analyst
The selection process for Data Analyst includes:
1. Online Assessment
- Finance domain knowledge
- Cognitive ability
- English language
- Typing test
2. Candidate Information Session
- Overview of company and role
- Expectations after joining
3. Two Rounds of Interviews
- Technical and behavioral assessment
Only shortlisted candidates will be contacted.
Shift Timings
The Data Analyst role operates in rotational shifts:
- Early Morning Shift (AU): 5:30 AM – 2:30 PM
- General Shift: 10 AM – 7 PM
- Afternoon Shift (UK): 3 PM – 12 AM
- Night Shift (US): 8 PM – 5 AM
Shift allowances are provided for applicable timings.
Why Choose a Career as Data Analyst?
Starting as a Data Analyst offers:
- Structured training and mentorship
- Exposure to global financial markets
- Strong foundation in investment research
- Career growth in finance and analytics
- Hybrid working flexibility
This role builds long-term career pathways in financial data management, research analysis, and investment operations.
Career Growth After Data Analyst
After gaining experience as a Data Analyst, professionals may grow into roles such as:
- Senior Data Analyst
- Research Analyst
- Investment Analyst
- ESG Analyst
- Data Quality Specialist
The analytical and financial skills developed in this role are highly valuable across the investment industry.
How to Prepare for Data Analyst Interview
To increase your selection chances:
- Revise basic finance concepts
- Practice Excel functions (VLOOKUP, Pivot Tables, IF formulas)
- Improve typing speed
- Practice logical reasoning questions
- Strengthen communication skills
Preparation and clarity in fundamentals are key to securing the Data Analyst role.
Final Thoughts
The Data Analyst opportunity in Navi Mumbai is an excellent entry-level role for graduates interested in finance, research, and data management. With structured training, global exposure, and career development support, this position can shape your professional journey.
If you are detail-oriented, curious about financial markets, and ready to work in a dynamic environment, this role is worth applying for.
We wish you the very best in your job search. Keep learning, stay consistent, and your career in data and finance will grow step by step.
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