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

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Demonstrates expertise in supply chain data management, focusing on data quality, process automation, and the development of scalable solutions. Proficient in leveraging tools like SQL, Python, and RPA to enhance operational efficiency and ensure data integrity.

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 DevelopmentKPI DevelopmentRoot Cause AnalysisAutomation WorkflowsData Discrepancy InvestigationSupply Chain ProcessesMaster Data ManagementCloud Data Platforms

Soft Skills

Stakeholder ManagementAnalytical CompetenceProblem-SolvingAttention to DetailCommunication Skills

Tools & Technologies

Power BIPower AutomateRPA ToolsSAP S/4HANAAzureAWSSnowflake

Certifications & Qualifications

Lean Six SigmaProject Management Certification

Industry Keywords

Supply ChainData AnalyticsRegulated IndustryPharmaceuticalMedical DevicesConsumer Health

Tech Stack

Tools & technologies

AWSAzureCloudETLPythonRPASQL

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 across supply chain systems
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 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 enhance automation and analytics capabilities
Engage with multifunctional teams on projects and critical initiatives
Gather quality requirements, implement them, and monitor resolution
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, with a focus 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 such as pharmaceutical, medical devices, or consumer health
Familiarity with SAP S/4HANA, data governance frameworks, and MDM tools
Experience with cloud data platforms such as Azure, AWS, or Snowflake
Lean Six Sigma or project management certification
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
Respect for diversity and dignity of employees
Employee merit recognition