Senior Analyst- Data Quality & Automation (LATAM)

Senior Analyst- Data Quality & Automation

Johnson & Johnson is currently recruiting for a Senior Analyst- Data Quality & Automation to be based in Raritan, NJ. Consideration will also be given to Mexico and Bogota.

About the Role

This role will be responsible for ensuring the integrity, accuracy, and reliability of supply chain data while driving AI and automation initiatives that streamline day-to-day operations. This role partners across different supply chain teams to gather requirements, identify process gaps, and design scalable, automated data quality solutions that improve operational efficiency and data-driven decision-making. This is a high-impact, cross-functional role that directly enables better patient outcomes and operational excellence.

Key Responsibilities

Data Quality Management:

• Establish, monitor, and enforce data quality standards, rules, and governance across supply chain systems
• Proactively identify, investigate, and monitor data discrepancies, anomalies, and root causes affecting master data, transactional data, and reporting.
• Develop and maintain data quality dashboards, scorecards, and Key Performance Indicators to track health, completeness, and accuracy over time.

Automation & Process Improvement:

• Identify manual, repetitive, and error-prone processes and support implementation of automation solutions (e.g., RPA, Power Automate, Python, SQL scripts, ETL pipelines).
• Build, test, and deploy automated workflows that reduce cycle time and improve reliability of day-to-day supply chain operations.
• Continuously evaluate emerging tools and technologies to enhance automation and analytics capabilities.

Cross-Functional Engagement:

• Engage with multi-functional teams across projects and critical initiatives to gather quality requirements, implement them and monitor for resolution.
• Partner with stakeholders to prioritize initiatives, align on outcomes, and communicate progress and impact.

Qualifications

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.

Preferred:

• 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.

Core Competencies:

• Analytical competence and problem-solving approach with strong attention to detail.
• Strong communication and stakeholder-management skills.
• Ability to manage multiple priorities in a fast-paced operational environment.
• Bias for action, continuous improvement, and innovation.

Required Skills:

Preferred Skills:

Coaching, Communication, Compliance Management, Continuous Improvement, Controls Compliance, Digital Assurance, Econometric Models, Issue Escalation, Performance Measurement, Problem Solving, Process Optimization, Quality Control (QC), Quality Management Systems (QMS), Quality Standards, Regulatory Compliance, Standard Operating Procedure (SOP), Technologically Savvy