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Honasa Consumer (Mamaearth) logo — Honasa Consumer (Mamaearth) Power BI Data Analyst in Firozabad, Uttar Pradesh
Honasa Consumer (Mamaearth) VerifiedActively Hiring

Power BI Data Analyst

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Location

Firozabad, Uttar Pradesh

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

Build your Power BI analytics career at Honasa Consumer (Mamaearth) as a Power BI Data Analyst in Firozabad. 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 Power BI Data…

About Honasa Consumer (Mamaearth)

Honasa Consumer (Mamaearth) is hiring a Power BI Data Analyst in Firozabad — a full-time analytics role working in Power BI, DAX and SQL, with an indicative CTC of 3.9 LPA–7.8 LPA and 3 openings.
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Firozabad, Uttar PradeshVerified employer3 openings
Apply to Honasa Consumer (Mamaearth) →

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 Firozabad 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

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
ModeIn Office
CategoryData Analyst
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