Senior Analyst, Data Quality & Automation

Johnson & Johnson

. Ensure the integrity, accuracy, and reliability of supply chain data .

Posted 9/23/2026full-timeMexico City • MexicoSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in supply chain data management and analytics, focusing on data quality, process automation, and the development of scalable solutions. Proficient in collaborating with cross-functional teams to drive AI initiatives and establish data governance standards.

Highest-signal resume keywords

Data Quality ManagementProcess AutomationSQL ProficiencyPython DevelopmentSupply Chain Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality StandardsData GovernanceETL PipelinesRPA ImplementationPower BIPower AutomateLean Six SigmaAnalyticsProblem SolvingAttention to Detail

Soft Skills

Stakeholder ManagementCommunicationCollaborationPrioritizationContinuous Improvement

Tools & Technologies

SAP S/4HANAAzureAWSSnowflakeMDM Tools

Certifications & Qualifications

Project Management CertificationLean Six Sigma Certification

Industry Keywords

Supply ChainData AnalyticsData ManagementMaster Data DomainsRegulated Industry

Tech Stack

Tools & technologies

AWSAzureETLPythonRPASQL

About the role

Key responsibilities & impact

Ensure the integrity, accuracy, and reliability of supply chain data
Drive AI and automation initiatives that streamline day-to-day operations
Partner across supply chain teams to gather requirements and identify process gaps
Design scalable, automated data quality solutions
Establish, monitor, and enforce data quality standards, rules, and governance
Identify, investigate, and monitor data discrepancies, anomalies, and root causes
Develop and maintain data quality dashboards, scorecards, and KPIs
Identify manual, repetitive, and error-prone processes for automation
Build, test, and deploy automated workflows using tools such as RPA, Power Automate, Python, SQL scripts, and ETL pipelines
Evaluate emerging tools and technologies to improve automation and analytics
Engage cross-functional teams on projects and critical initiatives
Partner with stakeholders to prioritize initiatives, align outcomes, and communicate progress and impact

Requirements

What you’ll need

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 material, vendor, customer, BOM, and inventory
Proven ability to capture requirements and collaborate across diverse teams
Experience in a regulated industry preferred
Familiarity with SAP S/4HANA, data governance frameworks, and MDM tools preferred
Experience with Azure, AWS, or Snowflake preferred
Lean Six Sigma or project management certification preferred
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

Benefits

Comp & perks

Inclusive work environment
Diversity and dignity of employees respected
Merit recognition
Opportunity to contribute to healthcare innovation and patient outcomes