Senior Analyst - Data Quality & Automation (LATAM)

Location: Mexico City, Mexico; Bogotá, Colombia; São Paulo, Brazil; consideration also given to Raritan, New Jersey, United States.

Company

Johnson & Johnson MedTech develops innovative, less invasive, and personalized healthcare treatments and technologies.

What you will do

• Establish, monitor, and enforce data quality standards, rules, and governance across supply chain systems.
• Investigate data discrepancies, anomalies, and root causes across master data, transactional data, and reporting.
• Develop data quality dashboards, scorecards, and KPIs for data health, completeness, and accuracy.
• Identify manual and error-prone processes and implement automation using RPA, Power Automate, Python, SQL scripts, and ETL pipelines.
• Build, test, and deploy automated workflows that improve cycle time and operational reliability.
• Gather requirements, prioritize initiatives, and communicate progress with cross-functional supply chain stakeholders.

Requirements

• 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, focused on data quality and process automation.
• Hands-on experience with SQL, Python, Power BI, Power Automate, RPA, and ETL.
• Strong knowledge of supply chain processes and master data domains, including materials, vendors, customers, BOMs, and inventory.
• Ability to capture requirements and collaborate across diverse teams.
• Analytical problem-solving skills, attention to detail, communication skills, and the ability to manage multiple priorities.

Nice to have

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

Culture & Benefits

• Work on cross-functional initiatives connecting healthcare innovation, supply chain operations, data quality, and automation.
• Contribute to operational efficiency, data-driven decision-making, and improved patient outcomes.
• Operate in an environment focused on continuous improvement, innovation, compliance, and quality standards.