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Snapdeal logo — Snapdeal E-commerce & Retail Analyst in Panaji, Goa
Snapdeal VerifiedActively Hiring

E-commerce & Retail Analyst

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Location

Panaji, Goa

Work Mode

Hybrid

Duration

0 months

Stipend

₹53,000/mo

Start Date

Immediate / as per notice period

Openings

1 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹53,000/moApply on Company Website ↗

About the Internship

Snapdeal is looking for a E-commerce & Retail Analyst to join its Panaji team. You will turn raw operational data into clear, trustworthy analysis, and work directly with the people who use it to run the business. About the role In this E-commerce & Retail Analyst position you will be trusted with…

About Snapdeal

Snapdeal is hiring a E-commerce & Retail Analyst in Panaji — a full-time analytics role working in SQL, Excel and web analytics, with an indicative CTC of 4 LPA–8.8 LPA and 1 opening.
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Panaji, GoaVerified employer1 opening
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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 Panaji 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

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
53,000/month

Stipend · 0 months

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Openings1 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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