Data Management Analyst

Nxtwave Disruptive Technologies; Mumbai; On-site; INR 246,000 - 279,000; Part time

Benefits offered by this job

Five-day work week

Paid internship stipend

Job summary

Morningstar in Navi Mumbai is offering a 12-month paid Data Management Apprentice program in Vashi. The role requires 2026 graduates with a B.Sc., B.Com., B.A., BCA or BBA, and skills in Python, MS Excel, and MS Office. The stipend is 22,000–25,000 INR monthly, with a potential full-time CTC of 4 LPA based on performance.

Work will be in a 5-day week; shifts vary by business needs. This apprenticeship focuses on data research, verification, and management, with opportunities to convert to

Qualifications

• Must be a 2026 graduate with a bachelor's degree as their highest qualification.
• Eligible degrees: B.Sc., B.Com., B.A., BCA and BBA.
• Strong English communication skills and proficiency in MS Office tools required.

Responsibilities

• Search, collect, validate, and verify data of varying complexity.
• Ensure data accuracy and consistency according to established methodologies and policies.
• Respond to internal and client queries related to data.
• Learn and follow research methods, quality standards, and process guidelines.
• Collaborate with team members and cross-functional teams to resolve data-related issues.
• Maintain productivity, quality, and timely delivery while managing multiple tasks.

Skills

Python

MS Excel

MS Office

English communication

Attention to detail

Time management

Education

B.Sc.

B.Com.

B.A.

BCA

BBA

Tools

MS Excel

MS Word

MS Office

Job description

Hiring for a client

• Role: Data Management Apprentice
• Location: Vashi, Navi Mumbai
• Eligible Graduation Year: 2026 only
• Eligible Qualifications: B.Sc., B.Com., B.A., BCA, BBA
• Internship Duration: 12 months
• Monthly Stipend: 22,000-25,000
• Potential Full-Time CTC: 4 LPA, subject to business requirements and performance
• Bond/Service Agreement: No bond
• Working Days: Monday to Friday (5 days a week)
• Work Mode: As per company requirements

Mandatory Skills

• Proficiency in Python.
• Basic to intermediate knowledge of MS Excel.
• Good command of MS Office tools, especially Excel and Word.
• Strong English communication skills (written and verbal).
• Attention to detail, accuracy, and analytical thinking.
• Ability to learn quickly, prioritize tasks, and meet deadlines.

Roles and Responsibilities

• Search, collect, validate, and verify data of varying complexity.
• Ensure data accuracy and consistency according to established methodologies and policies.
• Respond to internal and client queries related to data.
• Learn and follow research methods, quality standards, and process guidelines.
• Collaborate with team members and cross-functional teams to resolve data-related issues.
• Maintain productivity, quality, and timely delivery while managing multiple tasks.

Eligibility Criteria

• Must be a 2026 graduate with a bachelor's degree as their highest qualification.
• Eligible degrees: B.Sc., B.Com., B.A., BCA, and BBA.
• Candidates from Finance, Commerce, Business Administration, Economics, and related non-engineering disciplines are preferred.
• Must have strong English communication skills and proficiency in MS Office tools.

Not eligible:

• BE/B.Tech graduates.
• Candidates holding or pursuing postgraduate or master's degrees.
• Candidates pursuing or holding professional qualifications such as CA, CFA, CMA, CS, ACCA, FRM, or equivalent courses.

Work Timings and Shift Requirements

Candidates must be willing to work in any of the following shifts, depending on business requirements:

• Early Morning Shift (Australia): 5:30 AM 2:30 PM
• General Shift: 10:00 AM 7:00 PM
• Afternoon Shift (UK): 2:30 PM 11:30 PM
• Night Shift (US): 8:30 PM 5:30 AM

Willingness to work in the assigned shift is essential.

Why Join Morningstar?

• Opportunity to work with a globally recognized financial services company.
• Gain hands-on experience in data research, verification, and management.
• Earn a monthly stipend of 22,00025,000.
• Potential full-time employment opportunity with a CTC of 4 LPA.
• Enjoy a five-day working week.

Important: This is a 12-month paid apprenticeship opportunity. Full-time conversion is not guaranteed and depends on business requirements and candidate performance.