Digital Training Ops Intern

Clarios, LLC; Ciénega de Flores; Presencial; MXN 45.000 - 78.000; A tiempo parcial

Descripción de la vacante

Clarios, LLC is seeking an on-site internship to support digital transformation of training and certification processes across manufacturing operations. You will help standardize, digitize records, and manage certification databases for multiple plants.

You will collaborate with cross-functional teams, develop analytics with Excel and Power BI, and contribute to automation initiatives to reduce manual work while ensuring data accuracy and accessibility.

Formación

• Pursuing a bachelor’s degree in IT, analytics, data science, or related field.
• Interest in process improvement and digitalization.
• Strong analytical and organizational skills.

Responsabilidades

• Support digitalization of training processes, records, and documentation.
• Maintain databases for employee certifications and training compliance across plants.
• Convert forms and processes into digital platforms and workflows.
• Collaborate on continuous improvement initiatives within training and development.
• Standardize training processes across recycling plants.
• Generate reports and dashboards to monitor training status and KPIs.
• Identify automation opportunities to streamline administrative tasks.

Conocimientos

Continuous Improvement Mindset

Data Management & Analysis

Process Documentation

Digital Transformation

Organization & Attention to Detail

Problem Solving

Collaboration & Communication

Adaptability & Learning Agility

Educación

Bachelor's degree in Information Technology / Business Analytics / Data Science / Actuarial Science or related fields

Herramientas

Power Automate

Power Apps

SharePoint

Microsoft Excel

Power BI

Descripción del empleo

Clarios, LLC is seeking an on-site internship to support digital transformation of training and certification processes across manufacturing operations. You will help standardize, digitize records, and manage certification databases for multiple plants.

You will collaborate with cross-functional teams, develop analytics with Excel and Power BI, and contribute to automation initiatives to reduce manual work while ensuring data accuracy and accessibility.