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Piramal Finance logo — Piramal Finance Financial Data Analyst Intern in Hyderabad, Telangana
Piramal Finance VerifiedActively Hiring

Financial Data Analyst Intern

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Location

Hyderabad, Telangana

Work Mode

Hybrid

Duration

3 months

Stipend

₹32,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

Data Analytics

Apply Now — ₹32,000/moApply on Company Website ↗

About the Internship

Join Piramal Finance in Hyderabad as a Financial Data Analyst Intern. This entry-level internship is designed for finance, commerce and analytics students who want practical, resume-ready experience inside a regulated nbfc & lending. About the role As a Financial Data Analyst Intern at Piramal…

About Piramal Finance

Piramal Finance offers a mentor-led Financial Data Analyst Intern in Hyderabad with live project work in data analytics, a stipend of ₹32,000/month and a Pre-Placement Offer opportunity for strong performers.
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Hyderabad, TelanganaVerified employer2 openings
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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 Hyderabad. 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

Flexible working hoursNetworking with senior finance professionalsInternship CertificateLetter of RecommendationMentorship from a named finance mentor

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude & numerical reasoning assessment
  3. 3HR discussion — stipend, start date, expectations and offer
32,000/month

Stipend · 3 months

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Openings2 positions
Applicants0 applied
ModeHybrid
CategoryData Analytics
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