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Mobile Premier League logo — Mobile Premier League Data Analyst Intern in Gurugram, Haryana
Mobile Premier League VerifiedActively Hiring

Data Analyst Intern

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Location

Gurugram, Haryana

Work Mode

Hybrid

Duration

2 months

Stipend

₹21,000/mo

Start Date

Immediate / Rolling

Openings

5 positions

Type

Full-time

Category

Data Science

Apply Now — ₹21,000/moApply on Company Website ↗

About the Internship

Join Mobile Premier League in Gurugram as a 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 business data analysis work. About the role As a Data Analyst Intern at Mobile Premier…

About Mobile Premier League

Mobile Premier League offers a mentor-led Data Analyst Intern in Gurugram with live project work in data science, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
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Gurugram, HaryanaVerified employer5 openings
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Skills Required

SQLExcel / Google SheetsPython (Pandas)Power BI / TableauData VisualisationBusiness MetricsCohort & Funnel AnalysisData ValidationReportingStakeholder Communication

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), B.Sc/M.Sc (Statistics, Mathematics, Economics), BCA/MCA or MBA who are based in or willing to work from Gurugram. You should be keen to learn SQL, Excel / Google Sheets, Python (Pandas) 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

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

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
21,000/month

Stipend · 2 months

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Openings5 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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