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Lowe's India logo — Lowe's India E-commerce & Retail Analyst in Noida, Uttar Pradesh
Lowe's India VerifiedActively Hiring

E-commerce & Retail Analyst

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Location

Noida, Uttar Pradesh

Work Mode

Work from Home

Duration

0 months

Stipend

₹68,000/mo

Start Date

Immediate / as per notice period

Openings

2 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹68,000/moApply on Company Website ↗

About the Internship

Join Lowe's India in Noida as a E-commerce & Retail 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 This E-commerce & Retail Analyst role is hands-on and…

About Lowe's India

Lowe's India is hiring a E-commerce & Retail Analyst in Noida — a full-time analytics role working in SQL, Excel and web analytics, with an indicative CTC of 5.1 LPA–11.1 LPA and 2 openings.
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Noida, Uttar PradeshVerified employer2 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 Noida 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

Learning & certification support (SQL, Power BI, Tableau, cloud)Paid leaves and public holidaysFlexible / hybrid working optionsModern analytics tooling and licensed BI seatsClear appraisal cycle and internal mobilityEmployee wellness programmesTeam offsites and networking opportunitiesCompetitive salary as per market benchmarks

Interview & Selection Process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Hiring manager discussion — role expectations, ownership and team fit
  3. 3Online assessment — SQL, Excel and quantitative aptitude
  4. 4Technical interview 1 — SQL joins, aggregations, window functions and data modelling
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
68,000/month

Stipend · 0 months

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Openings2 positions
Applicants0 applied
ModeWork from Home
CategoryData Analyst
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