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Confluent India logo — Confluent India Business Intelligence Intern in Nashik, Maharashtra
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Business Intelligence Intern

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Location

Nashik, Maharashtra

Work Mode

Hybrid

Duration

2 months

Stipend

₹16,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Join Confluent India in Nashik as a Business Intelligence Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on business intelligence work. About the role As a Business Intelligence Intern at Confluent…

About Confluent India

Confluent India offers a mentor-led Business Intelligence Intern in Nashik with live project work in data analyst, a stipend of ₹16,000/month and a Pre-Placement Offer opportunity for strong performers.
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Nashik, MaharashtraVerified employer4 openings
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Skills Required

SQLPower BIData ModellingDAXETL BasicsStar SchemaDashboardsExcelData WarehousingStakeholder Communication

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), BCA/MCA, B.Sc (Statistics/Mathematics), B.Com/BBA or MBA who are based in or willing to work from Nashik. You should be keen to learn SQL, Power BI, Data 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

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. 2Practical assignment or case study with a short walkthrough
  3. 3Discussion with the hiring manager on the role and your fit
  4. 4HR discussion — stipend, start date, expectations and offer
16,000/month

Stipend · 2 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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