JD – Data Quality & Labeling Quality Analyst
Experience: 1–3 Years
Location: Bangalore
Work Mode: Hybrid

Job Summary

We are looking for a detail-oriented Data Quality & Labeling Quality Analyst to ensure the accuracy, consistency, and quality of labeling and annotation data. The role will involve quality audits, data validation, root-cause analysis, KPI monitoring, quality governance, regulatory and safety compliance, and driving continuous process improvements across internal teams and external agencies.

Must-Have Skills
- 1–3 years of experience in Data Analytics, Data Quality, Quality Assurance, Data Labeling, or Root-Cause Analysis.
- Relevant experience in FMCG, Pharma, or Healthcare domains is required.
- Experience working with APAC and/or EMEA markets.
- Experience in auditing and validating labeling/annotation data for accuracy, consistency, and guideline adherence.
- Solid analytical and problem-solving skills with proficiency in Excel.
- Ability to identify, document, analyze, and report quality issues and root causes.
- Experience monitoring quality KPIs,



Right First Time (RFT) rates, rework metrics, and quality trends.
- Familiarity with data labeling and annotation tools/processes.
- Exposure to NC (Non-Conformance), Investigation (INV), and CAPA processes.
- Strong communication and stakeholder management skills.

Good-to-Have Skills
- Experience with AI data preprocessing.
- Experience with Power BI dashboard design and reporting.
- Experience with quality governance and continuous improvement initiatives.

Key Responsibilities
- Audit and validate labeling/annotation data for accuracy, consistency, and guideline adherence.
- Identify, document, and analyze quality issues and root causes.
- Monitor RFT, rework, and other quality KPIs and report trends.
- Drive monthly quality governance and performance reviews.
- Convert quality trends into process improvement actions across teams and agencies.
- Lead the NC Program and support quality escalation

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