Senior HR Data Quality Analyst

Johnson & Johnson Johnson & Johnson · Pharma · Bangalore, Karnataka, India +1

Senior HR Data Quality Analyst responsible for defining, executing, and improving data quality standards and controls within HR domain areas. This role involves partnering with HR Data Operations and Stewards to identify risks, define business rules, and ensure systemic resolution of data issues, utilizing SQL and data quality tooling.

What you'd actually do

  1. Own HR data quality standards, business rules, and controls for assigned HR domain areas, including definition, documentation, and ongoing refinement
  2. Lead business rule discovery for core HR data elements by partnering with HR data stewards and HR process owners
  3. Define, implement, and maintain data quality rules, validation checks, and monitoring logic to prevent recurring data quality issues
  4. Continuously measure Content Quality Index (CQI) and Data Quality Index (DQI) for Critical Data Elements within assigned domains, and identify improvement areas
  5. Partner closely with HR Data Operations to investigate data issues, support root‑cause analysis, and ensure issues are resolved sustainably

Skills

Required

  • 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
  • Excellent communication skills, with the ability to explain data quality issues in business terms

Nice to have

  • Strong understanding of core HR processes and employee lifecycle data (hire, move, pay, learn, exit)
  • Experience working with Workday HR data (functional understanding)
  • Experience automating transactional or operational processes

What the JD emphasized

  • HR data quality
  • data quality