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Dhani logo — Dhani E-commerce & Retail Analyst in Mysuru, Karnataka
Dhani VerifiedActively Hiring

E-commerce & Retail Analyst

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Location

Mysuru, Karnataka

Work Mode

In Office

Duration

0 months

Stipend

₹50,000/mo

Start Date

Immediate / as per notice period

Openings

3 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Dhani is hiring a E-commerce & Retail Analyst in Mysuru. This is a full-time, permanent role for candidates who want to work on real retail analytics problems — owning datasets, numbers and reporting that the business actually makes decisions on, not practice exercises. About the role This…

About Dhani

Dhani is hiring a E-commerce & Retail Analyst in Mysuru — a full-time analytics role working in SQL, Excel and web analytics, with an indicative CTC of 3.8 LPA–8.3 LPA and 3 openings.
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Mysuru, KarnatakaVerified 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 Mysuru 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

Annual performance bonus / variable payHealth insurance for you and your dependantsProvident Fund and statutory benefitsStructured onboarding and mentorshipLearning & certification support (SQL, Power BI, Tableau, cloud)Paid leaves and public holidaysFlexible / hybrid working optionsModern analytics tooling and licensed BI seatsDirect access to the team that owns the data you work on

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
50,000/month

Stipend · 0 months

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Openings3 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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