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Branch International logo — Branch International Operations Data Analyst Intern in Delhi, Delhi
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Operations Data Analyst Intern

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Location

Delhi, Delhi

Work Mode

Hybrid

Duration

6 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Join Branch International in Delhi as an Operations Data Analyst Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on operations analytics and process performance work. About the role As an Operations…

About Branch International

Branch International offers a mentor-led Operations Data Analyst Intern in Delhi with live project work in data analyst, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
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Delhi, DelhiVerified employer6 openings
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Skills Required

ExcelSQLProcess AnalysisSLA & TAT ReportingPower BICapacity Planning BasicsRoot-Cause AnalysisDashboardingCost AnalysisDocumentation

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, BBA/MBA (Operations), B.Com or B.Sc (Statistics) who are based in or willing to work from Delhi. You should be keen to learn Excel, SQL, Process Analysis 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 mentorDirect access to the team that owns the data you work on

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer
18,000/month

Stipend · 6 months

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Openings6 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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