Senior HR Data Quality Analyst

Johnson & Johnson

Senior HR Data Quality Analyst at Johnson & Johnson ensuring HR data quality standards and driving improvements. Collaborating with data teams to resolve data issues and enhance overall data integrity.

Posted 7/8/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

CloudInformaticaSQL

About the role

Key responsibilities & impact

Own HR data quality standards, business rules, and controls for assigned HR domain areas, including definition, documentation, and ongoing refinement
Lead business rule discovery for core HR data elements by partnering with HR data stewards and HR process owners
Define, implement, and maintain data quality rules, validation checks, and monitoring logic to prevent recurring data quality issues
Continuously measure Content Quality Index (CQI) and Data Quality Index (DQI) for Critical Data Elements within assigned domains, and identify improvement areas
Partner closely with HR Data Operations to investigate data issues, support root‑cause analysis, and ensure issues are resolved sustainably
Work with HR Data Stewards to ensure recurring data issues are addressed through process, standard, or upstream system changes—not manual fixes
Analyze data quality trends to identify systemic risks, control gaps, and improvement opportunities across HR data flows
Support HR process or system changes (e.g., Workday releases, policy updates, new use cases) by ensuring data standards and quality controls are updated accordingly for assigned HR domain areas
Communicate data quality insights, risks, and progress clearly to HR, Data, and Technology stakeholders
Contribute to the evolution of HR data quality practices, tooling, automation, and operating routines

Requirements

What you’ll need

Bachelor’s degree in Information Systems, Data, Computer Science, or a related field
3-5 years of experience in HR data quality, HR data governance, or HR data operations within a large, complex organization
Demonstrated experience defining data quality rules, validation logic, and controls
Hands-on experience analyzing data to investigate quality issues and validate fixes
Working knowledge of SQL for data validation and issue investigation
Strong ability to perform root-cause analysis across process, policy, and system dimensions
Familiarity with Informatica Cloud Data Quality (CDQ) or similar data quality tooling

Benefits

Comp & perks

Inclusive work environment
Professional development opportunities
Commitment to diversity and inclusion

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data Quality RulesValidation LogicData AnalysisData Quality Index (DQI)Content Quality Index (CQI)Data GovernanceData OperationsData Quality TrendsData Quality ControlsData Stewardship

Soft Skills

CommunicationCollaborationProblem-Solving