Experienced Analyst- Data Quality (COL)

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science Portfolio Management

Job Category:

Professional

All Job Posting Locations:

Bogotá, Distrito Capital, Colombia, Raritan, New Jersey, United States of America

Job Description:

Experienced Analyst- Data Quality & Automation

Supply Chain Data Management | Johnson & Johnson

Location: New Jersey

Department: Supply Chain — Data Quality

Hiring Manager: Kriti Bhardwaj, Director, Digital Strategy and Operations

Employment Type: Full-time

About the Role

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.

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

United States- Requisition Number: R-089278 Experienced Analyst- Data Quality

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If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check.

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.

Key Responsibilities

• 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.

Required Qualifications

• 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

 

 

Required Skills:

 

 

Preferred Skills:

Advanced Analytics, Analytical Reasoning, Business Behavior, Communication, Data Modeling, Data Privacy Standards, Data Quality, Data Science, Digital Fluency, Innovation, Problem Solving, Process Oriented, Product Lifecycle Management (PLM), Product Portfolio Management, Researching, Solution Architecture, Statistics