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Cashfree logo — Cashfree Marketing Data Analyst in Sitapur, Uttar Pradesh
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Marketing Data Analyst

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Location

Sitapur, Uttar Pradesh

Work Mode

Hybrid

Duration

0 months

Stipend

₹43,000/mo

Start Date

Immediate / as per notice period

Openings

5 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹43,000/moApply on Company Website ↗

About the Internship

Cashfree has an opening for a Marketing Data Analyst in Sitapur. If you enjoy digging into messy data, writing SQL that answers a real question and explaining the answer in plain language, this full-time marketing analytics role will suit you. About the role This Marketing Data Analyst role is…

About Cashfree

Cashfree is hiring a Marketing Data Analyst in Sitapur — a full-time analytics role working in Google Analytics, SQL and Excel, with an indicative CTC of 3.5 LPA–6.9 LPA and 5 openings.
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Sitapur, Uttar PradeshVerified employer5 openings
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Skills Required

Google Analytics 4SQLAdvanced ExcelCampaign AnalyticsAttribution ModellingROI & CAC AnalysisPower BIGoogle Ads / Meta ReportingCohort AnalysisData VisualizationStatisticsCommunication

Who Can Apply

  • BBA/MBA, B.Com/M.Com, B.E./B.Tech or B.Sc (Statistics / Economics) graduates with 0–3 years of relevant experience, based in Sitapur or willing to relocate. You should be comfortable with Google Analytics 4, SQL, Advanced Excel, able to work independently on a defined analytical question, and able to communicate the answer in plain language. Freshers and 2026 graduates are explicitly welcome — a portfolio of real analysis counts for more than years on a CV.

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 seats

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
43,000/month

Stipend · 0 months

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Openings5 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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