Senior Data Quality & Automation Analyst

8304-JOHNSON & JOHNSON MEDICAL MEXICO. Legal Entity; Bogotá ciudad; Presencial; MXN 900.000 - 1.400.000; Jornada completa

Descripción de la vacante

Johnson & Johnson is seeking a Senior Analyst to lead data quality & automation across our supply chain. The role partners with multiple teams to design scalable, automated data solutions that improve decision-making and operational efficiency.

The position emphasizes governance, data integrity, and continuous improvement, enabling better patient outcomes. Global, cross-country collaboration is expected, with postings aligned to local requirements.

Formación

• 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.

Responsabilidades

• Data Quality Management: Establish, monitor, and enforce data quality standards across supply chain systems.
• Automation & Process Improvement: Build and deploy automated workflows to reduce cycle time and improve reliability.
• Cross-Functional Engagement: Partner with stakeholders to prioritize initiatives and communicate progress.

Conocimientos

Data Quality Management

Automation & Process Improvement

Cross-Functional Engagement

Educación

Bachelor's degree in Supply Chain, Analytics, Information Systems, Engineering

Herramientas

SQL

Python

Power BI

Power Automate

RPA

ETL

Descripción del empleo

Johnson & Johnson is seeking a Senior Analyst to lead data quality & automation across our supply chain. The role partners with multiple teams to design scalable, automated data solutions that improve decision-making and operational efficiency.

The position emphasizes governance, data integrity, and continuous improvement, enabling better patient outcomes. Global, cross-country collaboration is expected, with postings aligned to local requirements.