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Credit Suisse (UBS) logo — Credit Suisse (UBS) Senior Data Analyst in Indore, Madhya Pradesh
Credit Suisse (UBS) VerifiedActively Hiring

Senior Data Analyst

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Location

Indore, Madhya Pradesh

Work Mode

Hybrid

Duration

0 months

Stipend

₹95,000/mo

Start Date

Immediate / as per notice period

Openings

1 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹95,000/moApply on Company Website ↗

About the Internship

Credit Suisse (UBS) is looking for a Senior Data Analyst to join its Indore 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 This Senior Data Analyst role is hands-on and delivery-focused…

About Credit Suisse (UBS)

Credit Suisse (UBS) is hiring a Senior Data Analyst in Indore — a full-time analytics role working in SQL, Python and a modern BI stack, with an indicative CTC of 7.6 LPA–15.1 LPA and 1 opening.
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Indore, Madhya PradeshVerified employer1 opening
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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 Indore 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

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
95,000/month

Stipend · 0 months

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Openings1 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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