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Beco logo — Beco Data Analyst Intern in Faridabad, Haryana
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Data Analyst Intern

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Location

Faridabad, Haryana

Work Mode

Hybrid

Duration

3 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Data Science

Apply Now — ₹19,000/moApply on Company Website ↗

About the Internship

Join Beco in Faridabad as a Data Analyst Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on business data analysis work. About the role As a Data Analyst Intern at Beco, your core focus will be…

About Beco

Beco offers a mentor-led Data Analyst Intern in Faridabad with live project work in data science, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
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Faridabad, HaryanaVerified employer3 openings
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Skills Required

SQLExcel / Google SheetsPython (Pandas)Power BI / TableauData VisualisationBusiness MetricsCohort & Funnel AnalysisData ValidationReportingStakeholder Communication

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), B.Sc/M.Sc (Statistics, Mathematics, Economics), BCA/MCA or MBA who are based in or willing to work from Faridabad. You should be keen to learn SQL, Excel / Google Sheets, Python (Pandas) on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
  3. 3Team-fit / behavioural interview with the team
  4. 4HR discussion — stipend, start date, expectations and offer
19,000/month

Stipend · 3 months

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Openings3 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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