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Kirloskar Oil Engines logo — Kirloskar Oil Engines Business Intelligence Analyst in Bharatpur, Rajasthan
Kirloskar Oil Engines VerifiedActively Hiring

Business Intelligence Analyst

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Location

Bharatpur, Rajasthan

Work Mode

Hybrid

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

Kirloskar Oil Engines has an opening for a Business Intelligence Analyst in Bharatpur. If you enjoy digging into messy data, writing SQL that answers a real question and explaining the answer in plain language, this full-time business intelligence role will suit you. About the role In this…

About Kirloskar Oil Engines

Kirloskar Oil Engines is hiring a Business Intelligence Analyst in Bharatpur — a full-time analytics role working in Power BI, SQL and DAX, with an indicative CTC of 3.9 LPA–7.8 LPA and 3 openings.
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Bharatpur, RajasthanVerified employer3 openings
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Skills Required

Power BISQLDAXData ModellingTableauETL ConceptsData WarehousingAdvanced ExcelDashboard DesignQuery OptimisationData GovernanceCommunication

Who Can Apply

  • B.E./B.Tech, BCA/MCA, B.Sc/M.Sc (Statistics / Mathematics / Data Science), B.Com, BBA or MBA graduates with 0–3 years of relevant experience, based in Bharatpur or willing to relocate. You should be comfortable with Power BI, SQL, DAX, 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

Flexible / hybrid working optionsModern analytics tooling and licensed BI seatsClear appraisal cycle and internal mobilityEmployee wellness programmesTeam offsites and networking opportunitiesCompetitive salary as per market benchmarksAnnual performance bonus / variable payHealth insurance for you and your dependants

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Technical interview 1 — SQL joins, aggregations, window functions and data modelling
  3. 3Case study / take-home assignment on a real dataset, with a walkthrough of your approach
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out
49,000/month

Stipend · 0 months

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Openings3 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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