Location
Indore, Madhya Pradesh
Work Mode
In Office
Duration
6 months
Stipend
₹11,000/mo
Start Date
Immediate / Rolling
Openings
9 positions
Type
Full-time
Category
Data Analyst
About the Internship
ReNew has an open Manufacturing & Quality Data Analyst Intern position in Indore for motivated freshers and final-year students. You will work on live manufacturing analytics and quality data projects and finish with something you can genuinely talk about in interviews.
About the role
As a…
About ReNew
ReNew offers a mentor-led Manufacturing & Quality Data Analyst Intern in Indore with live project work in data analyst, a stipend of ₹11,000/month and a Pre-Placement Offer opportunity for strong performers.
See all ReNewinternships →Indore, Madhya PradeshVerified employer9 openings
Apply to ReNew →Skills Required
ExcelSQLStatistical Process Control (SPC)OEE & Downtime AnalysisRoot-Cause Analysis (5-Why, Fishbone)Power BIQuality Metrics (PPM, Yield)Lean & Six Sigma BasicsMES / ERP DataReport Writing
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (Mechanical / Production / Industrial / Electrical), B.Sc (Statistics) or Diploma + degree who are based in or willing to work from Indore. You should be keen to learn Excel, SQL, Statistical Process Control (SPC) 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
Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsStructured onboarding and a formal mentor at a large, established employer
Interview & Selection Process
3 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Technical interview on fundamentals and your projects
- 3HR discussion — stipend, start date, expectations and offer
₹11,000/month
Stipend · 6 months
Openings9 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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