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CommerceIQ logo — CommerceIQ Analytics Consultant in Ludhiana, Punjab
CommerceIQ VerifiedActively Hiring

Analytics Consultant

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Location

Ludhiana, Punjab

Work Mode

Hybrid

Duration

0 months

Stipend

₹86,000/mo

Start Date

Immediate / as per notice period

Openings

2 positions

Type

Full-time

Category

Data Analyst

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About the Internship

CommerceIQ is looking for a Analytics Consultant to join its Ludhiana 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 The Analytics Consultant at CommerceIQ is the bridge between the data…

About CommerceIQ

CommerceIQ is hiring a Analytics Consultant in Ludhiana — a full-time analytics role working in SQL, Python and BI tooling, with an indicative CTC of 6.4 LPA–14.3 LPA and 2 openings.
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Ludhiana, PunjabVerified employer2 openings
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Skills Required

SQLPythonPower BITableauProblem StructuringStatistical AnalysisClient CommunicationData ModellingBusiness Case DevelopmentPresentation SkillsProject ManagementStakeholder Management

Who Can Apply

  • B.E./B.Tech/MBA/M.Sc/MCA or an equivalent degree graduates with 2–5 years of relevant experience, based in Ludhiana or willing to relocate. You should be comfortable with SQL, Python, Power BI, 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

Health 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 seatsClear appraisal cycle and internal mobility

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
86,000/month

Stipend · 0 months

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Openings2 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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