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PNB Housing Finance logo — PNB Housing Finance MIS Analyst in Vellore, Tamil Nadu
PNB Housing Finance VerifiedActively Hiring

MIS Analyst

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Location

Vellore, Tamil Nadu

Work Mode

In Office

Duration

0 months

Stipend

₹35,000/mo

Start Date

Immediate / as per notice period

Openings

5 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹35,000/moApply on Company Website ↗

About the Internship

Build your MIS and reporting career at PNB Housing Finance as a MIS Analyst in Vellore. This is a full-time position with genuine ownership from the first month — your own datasets, your own dashboards, and stakeholders who rely on them. About the role In this MIS Analyst position you will be…

About PNB Housing Finance

PNB Housing Finance is hiring a MIS Analyst in Vellore — a full-time analytics role working in Advanced Excel, SQL and Power BI, with an indicative CTC of 2.7 LPA–5.8 LPA and 5 openings.
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Vellore, Tamil NaduVerified employer5 openings
Apply to PNB Housing Finance

Skills Required

Advanced ExcelSQLPower BIMIS ReportingVBA / MacrosPivot TablesData CleaningReport AutomationData ValidationGoogle SheetsAttention to DetailCommunication

Who Can Apply

  • any graduate — B.E./B.Tech, B.Sc, BCA/MCA, B.Com, BBA or MBA graduates with 0–3 years of relevant experience, based in Vellore or willing to relocate. You should be comfortable with Advanced Excel, SQL, Power BI, 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
35,000/month

Stipend · 0 months

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Openings5 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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