Location
Bengaluru, Karnataka
Work Mode
Hybrid
Duration
2 months
Stipend
₹19,000/mo
Start Date
Immediate / Rolling
Openings
11 positions
Type
Full-time
Category
Data Analyst
About the Internship
Join UPL Limited in Bengaluru as a Manufacturing & Quality 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 manufacturing analytics and quality data work.
About the role
As a…
About UPL Limited
UPL Limited offers a mentor-led Manufacturing & Quality Data Analyst Intern in Bengaluru with live project work in data analyst, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
See all UPL Limitedinternships →Bengaluru, KarnatakaVerified employer11 openings
Apply to UPL Limited →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 Bengaluru. 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
Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursStructured 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
- 2Team-fit / behavioural interview with the team
- 3HR discussion — stipend, start date, expectations and offer
₹19,000/month
Stipend · 2 months
Openings11 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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