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STAGE logo — STAGE Sales & Revenue Analytics Intern in Noida, Uttar Pradesh
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Sales & Revenue Analytics Intern

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Location

Noida, Uttar Pradesh

Work Mode

Hybrid

Duration

2 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Data Analyst

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

About the Internship

Join STAGE in Noida as a Sales & Revenue Analytics Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on sales analytics and revenue operations work. About the role As a Sales & Revenue Analytics Intern…

About STAGE

STAGE offers a mentor-led Sales & Revenue Analytics Intern in Noida with live project work in data analyst, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
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Noida, Uttar PradeshVerified employer3 openings
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Skills Required

ExcelSQLCRM Reporting (Salesforce / HubSpot)Pipeline & Funnel AnalysisSales ForecastingPower BIRevenue Metrics (ARR / MRR)Territory & Quota ReportingDashboardingCommercial Acumen

Who Can Apply

  • Final-year students and recent graduates from BBA/MBA, B.Com/M.Com, B.E./B.Tech or B.Sc (Statistics) who are based in or willing to work from Noida. You should be keen to learn Excel, SQL, CRM Reporting (Salesforce / HubSpot) 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

3 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. 3HR discussion — stipend, start date, expectations and offer
19,000/month

Stipend · 2 months

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Openings3 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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