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Utkarsh Small Finance Bank logo — Utkarsh Small Finance Bank Financial Data Analyst Intern in Delhi, Delhi
Utkarsh Small Finance Bank VerifiedActively Hiring

Financial Data Analyst Intern

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Location

Delhi, Delhi

Work Mode

Hybrid

Duration

4 months

Stipend

₹17,000/mo

Start Date

Immediate / Rolling

Openings

1 positions

Type

Full-time

Category

Data Analytics

Apply Now — ₹17,000/moApply on Company Website ↗

About the Internship

Utkarsh Small Finance Bank is hiring a Financial Data Analyst Intern in Delhi. This is a hands-on, mentor-led BFSI internship built for students and 2026 freshers who want real exposure to how a small finance bank actually runs its numbers — not a certificate-only programme. About the role As a…

About Utkarsh Small Finance Bank

Utkarsh Small Finance Bank offers a mentor-led Financial Data Analyst Intern in Delhi with live project work in data analytics, a stipend of ₹17,000/month and a Pre-Placement Offer opportunity for strong performers.
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Delhi, DelhiVerified employer1 opening
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Skills Required

SQLAdvanced ExcelPower BITableauPython (Pandas)Data CleaningStatisticsFinancial MetricsDashboardingStorytelling with Data

Who Can Apply

  • Final-year students and recent graduates from B.Tech/BCA/MCA/B.Sc (Stats)/B.Com/MBA who are based in or willing to work from Delhi. You should be comfortable with numbers, keen to learn SQL, Advanced Excel, Power BI, and able to write clearly. Freshers are welcome — no prior work experience is required, and relevant certifications (NISM, CFA L1, GST, Tally) are a plus rather than a requirement.

Perks

Exposure to BFSI systems and reporting toolsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior finance professionalsInternship Certificate

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the function and your fit
17,000/month

Stipend · 4 months

Apply Now →
Openings1 positions
Applicants2 applied
ModeHybrid
CategoryData Analytics
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