About the job

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, were the house of iconic brands - including NEUTROGENA, AVEENO, TYLENOL, LISTERINE, JOHNSONS 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 futureand 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

Profile Summary

Bachelors degree in a relevant field or equivalent experience in Data Science/Computer Science.
24 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.

Earn certifications in these skills

Who can apply

Only those candidates can apply who:

1. have minimum 2 years of experience

Salary

Probation:

Duration:

Salary during probation:

After probation:

Annual CTC: Competitive salary

Number of openings

Editor’s note

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.

Data Quality Analyst - Hybrid Working