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# Experienced Analyst- Data Quality

- **Company:** Johnson & Johnson
- **Location:** Raritan, NJ, United States
- **Experience:** Experienced
- **Salary:** $92,000.0 - $148,350.0
- **Contract:** Permanent contract
- **Skills:** Data Governance, Extract Transform Load (ETL), Data Profiling, Python (Programming Language), Automation of Marketing, Power BI, Robotic Automation Software, SQL Databases, Microsoft Power Automate, SAP S/4HANA, SAP MDG, Data Management, Tools for Reporting
- **Published:** July 19, 2026
- **Apply:** https://dejobs.org/x/x/EDF1285EE37C46CD922BA66276864AC1/job/

## About the Role

* Minimum five (5) years of significant professional experience
 * Experience in data quality, data management, or supply chain analytics.
 * Hands-on experience with SQL and data tools; exposure to automation platforms (Power Automate, Python, RPA, ETL).
 * Good understanding of supply chain processes and master data domains (material, vendor, customer, BOM, inventory).
 * May require up to 10% domestic and/or international travel to other sites and locations

Preferred Qualifications

 * Familiarity with SAP S/4HANA, data governance concepts, and MDM tools.
 * Exposure to Power BI or other BI/reporting tools.
 * Lean Six Sigma awareness or certification.

Preferred Skills

 * Strong analytical and problem-solving outlook for continuous improvement and operational performance.
 * Shown ability in communications and partnership across teams

## Description

Johnson & Johnson is recruiting for an Experienced Analyst - Data Quality and Automation to join our Data Team. The position is based out of US/LATAM., This role will is critical for reliability data across the organization. Working under the direction of the Data Quality & Automation Lead/Manager, this individual will implement day-to-day quality operations, supports automation initiatives, and engages partners across different organizations., * Data Quality Operations: Performs data profiling, cleansing, validation, and reconciliation activities to improve the quality across systems.

 * Identify, investigate, to data discrepancies and root causes; advance challenges and support resolution.
 * Automation Support in building and maintaining automated workflows to reduce manual effort and improving data.
 * Monitoring & Reporting: Maintain data quality dashboards, scorecards, and Key Performance Indicators; identifying trends and improvements
 * Cross-Organization Engagement: Partner with different functions and organizations within Supply chain to understand data needs and drive corrective actions.
 * Documentation: Maintain standard operating procedures, data standards, and knowledge-base content to sustain operations.


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