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Cube Wealth logo — Cube Wealth Senior Data Analyst in Mohali, Punjab
Cube Wealth VerifiedActively Hiring

Senior Data Analyst

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Location

Mohali, Punjab

Work Mode

In Office

Duration

0 months

Stipend

₹100,000/mo

Start Date

Immediate / as per notice period

Openings

4 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹100,000/moApply on Company Website ↗

About the Internship

Build your data analytics career at Cube Wealth as a Senior Data Analyst in Mohali. This is a full-time position with genuine ownership from the first month — your own datasets, your own dashboards, and stakeholders who rely on them. About the role As a Senior Data Analyst at Cube Wealth, your…

About Cube Wealth

Cube Wealth is hiring a Senior Data Analyst in Mohali — a full-time analytics role working in SQL, Python and a modern BI stack, with an indicative CTC of 8 LPA–15.9 LPA and 4 openings.
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Mohali, PunjabVerified employer4 openings
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Skills Required

Advanced SQLPythonPower BITableauData ModellingStatistical AnalysisA/B TestingETL ConceptsMetric DesignStakeholder ManagementMentoringData Storytelling

Who Can Apply

  • B.E./B.Tech/MCA/M.Sc/B.Sc/MBA or an equivalent degree graduates with 3–6 years of relevant experience, based in Mohali or willing to relocate. You should be comfortable with Advanced 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

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
100,000/month

Stipend · 0 months

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Openings4 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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