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Intern – Global Quality & CO2 Technologies Analytics & Dashboards

Cemex
Monterrey, Nuevo Leon, 64520
On-site

About this role

Intern – Global Quality & CO2 Technologies Analytics & Dashboards

Project Objective Support the development and continuous improvement of digital solutions for Global Quality, combining data extraction, transformation, validation, analytics and visualization to facilitate performance monitoring and decision-making across CEMEX operations

Challenges for the Students

  • Work with real industrial data coming from multiple sources and understand how data flows from source systems to analytics and visualization tools.
  • Learn the business logic behind Global Quality KPIs and translate it into data transformations, calculations and digital solutions.
  • Analyze and troubleshoot data inconsistencies, calculation issues and integration problems using a structured problem-solving approach.
  • Develop solutions in an environment where requirements evolve as new plants, data sources and business needs are incorporated.
  • Communicate technical findings clearly to both technical and non-technical users, including the use of information and documentation in English

Main Responsibilities and Activities to Be Carried Out

  • Support the development and maintenance of data analytics solutions and dashboards for Global Quality.
  • Work with structured data from databases, files and industrial data sources, supporting data extraction, transformation, validation and consolidation processes.
  • Develop and maintain Python scripts or similar tools for data processing, automation and validation.
  • Support the development of Power BI reports, including data models, calculations, visualizations and user interaction.
  • Validate dashboard results against source information and investigate discrepancies in data or calculations.
  • Support the development and documentation of Quality KPIs, calculation logic, data sources and validation processes.
  • Analyze plant and regional information to identify data quality issues, trends and opportunities for improvement.
  • Document technical solutions, decisions, validations and relevant project learnings to support project continuity

Specific Requirements / Qualifications Required:

  • Basic programming knowledge and genuine interest in software development or data analytics
  • Basic knowledge of Python or another general-purpose programming language.
  • Basic understanding of databases, tables, relationships and SQL queries.
  • Strong analytical thinking, problem-solving skills and attention to detail.
  • Ability to learn new tools independently and adapt to evolving project needs.
  • Organized and structured way of working, with good follow-up and documentation habits.
  • Intermediate–advanced English for technical information

Desirable, but not required

  • Previous exposure to Power BI, Tableau or another data visualization tool.
  • Familiarity with pandas or other data manipulation libraries.
  • Knowledge of data modeling, ETL concepts or APIs.
  • Previous academic or personal programming/data projects.

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