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Capgemini India logo — Capgemini India Power BI Data Analyst in Manesar, Haryana
Capgemini India VerifiedActively Hiring

Power BI Data Analyst

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Location

Manesar, Haryana

Work Mode

In Office

Duration

0 months

Stipend

₹49,000/mo

Start Date

Immediate / as per notice period

Openings

3 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Capgemini India is hiring a Power BI Data Analyst in Manesar. This is a full-time, permanent role for candidates who want to work on real Power BI analytics problems — owning datasets, numbers and reporting that the business actually makes decisions on, not practice exercises. About the role In…

About Capgemini India

Capgemini India is hiring a Power BI Data Analyst in Manesar — a full-time analytics role working in Power BI, DAX and SQL, with an indicative CTC of 3.9 LPA–7.9 LPA and 3 openings.
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Manesar, HaryanaVerified employer3 openings
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Skills Required

Power BIDAXPower Query (M)SQLData ModellingRow-Level SecurityAdvanced ExcelDashboard DesignPower BI ServiceETL ConceptsPerformance TuningCommunication

Who Can Apply

  • B.E./B.Tech, BCA/MCA, B.Sc/M.Sc (Statistics / Mathematics / Data Science), B.Com, BBA or MBA graduates with 0–2 years of relevant experience, based in Manesar or willing to relocate. You should be comfortable with Power BI, DAX, Power Query (M), able to work independently on a defined analytical question, and able to communicate the answer in plain language. Freshers and 2026 graduates are explicitly welcome — a portfolio of real analysis counts for more than years on a CV.

Perks

Team offsites and networking opportunitiesCompetitive salary as per market benchmarksAnnual performance bonus / variable payHealth insurance for you and your dependantsProvident Fund and statutory benefitsStructured onboarding and mentorshipLearning & certification support (SQL, Power BI, Tableau, cloud)Paid leaves and public holidays

Interview & Selection Process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Hiring manager discussion — role expectations, ownership and team fit
  3. 3Online assessment — SQL, Excel and quantitative aptitude
  4. 4Technical interview 1 — SQL joins, aggregations, window functions and data modelling
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
49,000/month

Stipend · 0 months

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Openings3 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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