Overview

Company
Kenvue
Location
Mumbai, Mahārāshtra, IN
Employment type
On-site
Kenvue

Technology & IT • Mumbai, Mahārāshtra, IN

Labeling Data and Quality Analyst

Mumbai, Mahārāshtra, INOn-sitePosted 5 days ago
Technology & IT

About the Role

Kenvue is currently recruiting for a:

Labeling Data and Quality Analyst

What we do

At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent.

Who We Are

Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated.We are passionate about insights, innovation and committed to delivering the best products to our customers.With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day.We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you!Join us in shaping our future–and yours.

For more information , click here .

Role reports to:

Project Leader - Global R&D Systems

Location:

Asia Pacific, India, Maharashtra, Greater Mumbai

Work Location:

Hybrid

What you will do

Key Focus Areas​

  • Audit and validate labeling annotation data for accuracy, consistency and guideline adherence​
  • Identify, document and report errors and root cause triggers to management and stakeholders​
  • Monitor quality KPIs (Right First Time rates, rework triggers) and drive monthly governance cycles​
  • Translate data trends into actionable process improvement plans across agencies and internal teams​
  • Ensure compliance with regulatory and safety requirements throughout the labeling process​
  • Lead NC Program

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Profile Summary​

  • Bachelor’s degree in a relevant field or equivalent experience in Data Science/Computer Science.​
  • 2–4 years of experience in data analytics, root-cause analysis, or quality assurance​.
  • Relevant experience in FMCG, Pharma, or Healthcare domains is required
  • Experience working with APAC and/or EMEA markets is a strong plus
  • Strong analytical skills with proficiency in Analytics and Visualization, ETL and Data Engineering.
  • Proficient in PowerBI, Python and Data Modeling techniques.
  • Excellent communication skills across stakeholder levels

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Nice-to-Have​

  • Experience with AI data preprocessing, Building Agents, Power Platform
  • Familiarity with labeling annotation tools and processes​

If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.

What You'll Do

Audit and validate labeling annotation data for accuracy, consistency and guideline adherence​
Identify, document and report errors and root cause triggers to management and stakeholders​
Monitor quality KPIs (Right First Time rates, rework triggers) and drive monthly governance cycles​
Translate data trends into actionable process improvement plans across agencies and internal teams​
Ensure compliance with regulatory and safety requirements throughout the labeling process​
Lead NC Program

Skills & Technologies

Technology & IT