Labeling Data and Quality Analyst

Mcneil Ab; India; Ibrido; INR 600.000 - 900.000; Tempo pieno

Descrizione del lavoro

Kenvue is seeking a Labeling Data and Quality Analyst to audit labeling data, monitor KPIs and drive improvements across multiple teams in the Asia Pacific region, including India. The role demands data analytics, problem solving and strong communication to manage root-cause analysis and regulatory compliance during labeling processes.

Ideal candidates have 2–4 years in data analytics or QA within FMCG/Healthcare and are proficient with PowerBI, Python, ETL, and data modeling.

Competenze

• 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.
• Experience in FMCG, Pharma, or Healthcare domains is preferred.
• Experience with APAC and/or EMEA markets is a plus.
• Strong skills in analytics, visualization, ETL, and data engineering.

Mansioni

• 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 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.

Conoscenze

Data analytics

Root-cause analysis

Quality assurance

Data visualization

ETL

Python

PowerBI

Data Modeling

Formazione

Bachelor's degree in Data Science/CS

Strumenti

SQL

Descrizione del lavoro

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 , .

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

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