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Jar logo — Jar Analytics Consulting Intern in Delhi, Delhi
Jar VerifiedActively Hiring

Analytics Consulting Intern

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Location

Delhi, Delhi

Work Mode

In Office

Duration

3 months

Stipend

₹26,000/mo

Start Date

Immediate / Rolling

Openings

15 positions

Type

Full-time

Category

Data Science

Apply Now — ₹26,000/moApply on Company Website ↗

About the Internship

Jar has an open Analytics Consulting Intern position in Delhi for motivated freshers and final-year students. You will work on live analytics consulting projects and finish with something you can genuinely talk about in interviews. About the role As an Analytics Consulting Intern at Jar, your core…

About Jar

Jar offers a mentor-led Analytics Consulting Intern in Delhi with live project work in data science, a stipend of ₹26,000/month and a Pre-Placement Offer opportunity for strong performers.
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Delhi, DelhiVerified employer15 openings
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Skills Required

SQLPython or RExcel & Financial ModellingProblem StructuringData VisualisationClient PresentationHypothesis-Driven AnalysisBenchmarkingPowerPoint StorytellingStakeholder Management

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, MBA/PGDM, B.Sc/M.Sc (Statistics / Economics) or B.Com who are based in or willing to work from Delhi. You should be keen to learn SQL, Python or R, Excel & Financial Modelling 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

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
  3. 3HR discussion — stipend, start date, expectations and offer
26,000/month

Stipend · 3 months

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Openings15 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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