Quality Data Intern: Power BI & Process Automation

Clarios

Matamoros

On-site

MXN 89,000 - 134,000

Full time

14 days+

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Job summary

Clarios is seeking an Intern in Quality to transform how data is captured and analyzed in the new Distribution Center. You will build Power BI dashboards for scrap tracking, automate reporting processes, and contribute to the digitalization roadmap of laboratory analyses.

Collaboration with Quality, Engineering, and Operations will drive faster, data-driven decisions. The role focuses on improving reporting efficiency, enabling data-driven decisions, and laying the foundation for scalable lab

Qualifications

  • Active student in Systems Engineering / IT, Computer Science, Mechatronics or related fields.
  • Advanced proficiency in Power BI (mandatory).
  • Knowledge of Data analysis and automation.
  • Advanced Excel.
  • Basic programming or database logic (preferred).
  • Interest in digital transformation and process improvement.

Responsibilities

  • Optimize and automate report creation processes to reduce manual effort and enable insights.
  • Develop coding structures for scrap origin classification for better traceability.
  • Design and implement Power BI dashboards to manage and monitor scrap with performance tracking, root cause analysis, and chargeback tracking to plants.
  • Contribute to the digitalization roadmap for laboratory analysis in the new DC.
  • Improve data accessibility and visualization for faster, more informed decision-making.
  • Enhance response times and analytical effectiveness in Quality topics.

Skills

Power BI
Data analysis
Advanced Excel
Basic programming
Automation
Digital transformation

Education

Systems Engineering / IT
Computer Science
Mechatronics

Job description

Clarios is seeking an Intern in Quality to transform how data is captured and analyzed in the new Distribution Center. You will build Power BI dashboards for scrap tracking, automate reporting processes, and contribute to the digitalization roadmap of laboratory analyses.

Collaboration with Quality, Engineering, and Operations will drive faster, data-driven decisions. The role focuses on improving reporting efficiency, enabling data-driven decisions, and laying the foundation for scalable lab

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