Senior Analyst- Data Quality & Automation (us)

Johnson & Johnson Johnson & Johnson · Pharma · Raritan, NJ +2

This role focuses on ensuring supply chain data integrity and accuracy by establishing data quality standards, monitoring discrepancies, and developing data quality dashboards. It also involves driving AI and automation initiatives using tools like RPA, Power Automate, Python, and SQL scripts to streamline operations, reduce cycle times, and improve reliability. The role requires cross-functional collaboration to gather requirements and implement solutions, ultimately enabling better patient outcomes and operational excellence within a regulated healthcare environment.

What you'd actually do

  1. Establish, monitor, and enforce data quality standards, rules, and governance across supply chain systems
  2. Proactively identify, investigate, and monitor data discrepancies, anomalies, and root causes affecting master data, transactional data, and reporting.
  3. Develop and maintain data quality dashboards, scorecards, and Key Performance Indicators to track health, completeness, and accuracy over time.
  4. Identify manual, repetitive, and error-prone processes and support implementation of automation solutions (e.g., RPA, Power Automate, Python, SQL scripts, ETL pipelines).
  5. Build, test, and deploy automated workflows that reduce cycle time and improve reliability of day-to-day supply chain operations.

Skills

Required

  • Bachelor's degree in Supply Chain, Data Analytics, Information Systems, Engineering, or a related field.
  • 7+ years of experience in supply chain data management, or analytics, with a focus on data quality and process automation.
  • Hands-on experience with data tools and automation platforms (SQL, Python, Power BI, Power Automate, RPA, ETL).
  • Strong knowledge of supply chain processes and master data domains (material, vendor, customer, BOM, inventory).
  • Proven ability to capture requirements and collaborate across diverse teams.

Nice to have

  • Experience in a regulated industry (pharmaceutical, medical devices, or consumer health).
  • Familiarity with SAP S/4HANA, data governance frameworks, and master data management (MDM) tools.
  • Experience with cloud data platforms (Azure, AWS, or Snowflake).
  • Lean Six Sigma or project management certification.

What the JD emphasized

  • AI and automation initiatives
  • automation solutions
  • automated workflows
  • regulated industry