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Mamaearth logo — Mamaearth E-commerce & Retail Analyst in Pune, Maharashtra
Mamaearth VerifiedActively Hiring

E-commerce & Retail Analyst

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Location

Pune, Maharashtra

Work Mode

In Office

Duration

0 months

Stipend

₹65,000/mo

Start Date

Immediate / as per notice period

Openings

3 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Applications are open for the E-commerce & Retail Analyst position at Mamaearth in Pune. You will join a working retail analytics team, own a defined set of reports and analyses end to end, and see your findings turn into decisions that people act on. About the role As a E-commerce & Retail…

About Mamaearth

Mamaearth is hiring a E-commerce & Retail Analyst in Pune — a full-time analytics role working in SQL, Excel and web analytics, with an indicative CTC of 4.9 LPA–10.7 LPA and 3 openings.
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Pune, MaharashtraVerified employer3 openings
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Skills Required

SQLAdvanced ExcelCategory AnalyticsPricing & Margin AnalysisGoogle Analytics 4Cohort & RFM AnalysisPower BIAssortment PlanningPromotion EffectivenessData VisualizationStatisticsCommunication

Who Can Apply

  • BBA/MBA/B.Com/B.E./B.Tech/B.Sc or an equivalent degree graduates with 1–4 years of relevant experience, based in Pune or willing to relocate. You should be comfortable with SQL, Advanced Excel, Category Analytics, 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

Modern 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 dependantsProvident Fund and statutory benefits

Interview & Selection Process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Case study / take-home assignment on a real dataset, with a walkthrough of your approach
  3. 3Technical interview 2 — BI tooling, dashboard design and metric definition
  4. 4Business / stakeholder round — how you scope a question and communicate findings
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
65,000/month

Stipend · 0 months

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Openings3 positions
Applicants1 applied
ModeIn Office
CategoryData Analyst
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