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BlackRock logo — BlackRock Business Intelligence (BI) Analyst in Pune, Maharashtra
BlackRock VerifiedActively Hiring

Business Intelligence (BI) Analyst

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Location

Pune, Maharashtra

Work Mode

Work from Home

Duration

0 months

Stipend

₹87,000/mo

Start Date

Immediate / as per notice period

Openings

2 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹87,000/moApply on Company Website ↗

About the Internship

Join BlackRock in Pune as a Business Intelligence (BI) Analyst. The role sits close to the business: you will define the metrics, build the reporting behind them, and be the person the team asks when a number looks wrong. About the role In this Business Intelligence (BI) Analyst position you will…

About BlackRock

BlackRock is hiring a Business Intelligence (BI) Analyst in Pune — a full-time analytics role working in Power BI, SQL and DAX, with an indicative CTC of 6.6 LPA–14.3 LPA and 2 openings.
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Pune, MaharashtraVerified employer2 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/B.Com or an equivalent degree graduates with 1–4 years of relevant experience, based in Pune 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. Candidates from adjacent functions (MIS, operations reporting, finance analytics) with the right toolset are encouraged to apply.

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
87,000/month

Stipend · 0 months

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Openings2 positions
Applicants2 applied
ModeWork from Home
CategoryData Analyst
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