Labeling Data and Quality Analyst

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.

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

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

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.