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Ipsator Technologies logo — Ipsator Technologies HR & People Analytics Intern in Bengaluru, Karnataka
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HR & People Analytics Intern

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Location

Bengaluru, Karnataka

Work Mode

Hybrid

Duration

2 months

Stipend

₹13,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹13,000/moApply on Company Website ↗

About the Internship

Join Ipsator Technologies in Bengaluru as a HR & People Analytics Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on people analytics and workforce data work. About the role As a HR & People Analytics…

About Ipsator Technologies

Ipsator Technologies offers a mentor-led HR & People Analytics Intern in Bengaluru with live project work in data analyst, a stipend of ₹13,000/month and a Pre-Placement Offer opportunity for strong performers.
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Bengaluru, KarnatakaVerified employer4 openings
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Skills Required

ExcelHR Metrics (Attrition, TAT, Cost-per-Hire)SQL BasicsPower BIHRIS Data (Darwinbox / SAP SuccessFactors)Survey & Engagement AnalysisDashboardingData ConfidentialityReport WritingStakeholder Communication

Who Can Apply

  • Final-year students and recent graduates from MBA/PGDM (HR), BBA, B.Com or B.Sc (Statistics / Psychology) who are based in or willing to work from Bengaluru. You should be keen to learn Excel, HR Metrics (Attrition, TAT, Cost-per-Hire), SQL Basics on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

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

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 role and your fit
13,000/month

Stipend · 2 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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