Meet Cemex
We are a leading sustainable construction materials and solutions company with innovation and sustainability at its core working to create value for its stakeholders. Cemex’s global presence is strategically positioned across the Americas, the Caribbean, Europe, Africa, the Middle East, and Asia. Our global trading network is close to 100 countries with our four core businesses.
VP/Department: Human Resources
Area: Planning, Compensation, and Recruitment
Business Unit: Mexico
Office Location: Constitution Offices
Work Hours: Monday to Friday 8:00 AM- 2:00 PM
Dates: June 1- July 24, 2026
Current Year: Sophmore or Junior
Career (s) of Interest: Artificial Intelligence Engineering, Data Science or related fields
Internship Description:
Develop a Human Resources People Analytics project that leads to the creation of a prescriptive model designed to support strategic talent-management decision-making. This initiative will be carried out through the analysis of employee data, the identification of trends in key areas such as performance, turnover, and personnel costs, the application of data-modeling techniques, and the development of visualizations that facilitate the optimal delivery and interpretation of information.
Challenges for the student:
- Apply data transformation and analysis techniques in a real business environment.
- Learn about key HR indicators (talent KPIs, turnover, organizational climate).
- Develop skills in the use of visualization tools and databases.
- Collaborate with multidisciplinary teams and present results to organizational leaders.
- Understand the importance of privacy and ethics in handling personal data.
Main responsibilities and activities:
- Collect, clean, and transform employee data from various internal sources.
- Analyze information related to performance, absenteeism, turnover, satisfaction, and more.
- Create dashboards and automated reports in platforms such as Power BI or Tableau.
- Present findings and recommendations to HR and area leaders.
- Document processes and ensure the quality of the data used.
Specific requirements, technical and soft skills:
Data Management and ETL
- Collection, cleaning, and transformation of data from various internal sources.
- Proficiency with database tools (SQL, Python, R).
- Experience with ETL processes (Extract, Transform, Load).
Data Modeling and Analysis
- Knowledge of statistics and machine learning (logistic regression, decision trees, random forest, XGBoost, etc.).
- Selection and evaluation of relevant variables for predicting resignations.
- Validation and tuning of predictive models.
Visualization and Communication
- Development of dashboards and automated reports using platforms such as Power BI or Tableau.
- Ability to present findings and recommendations to both technical and non-technical audiences.
CEMEX Diversity and Inclusion Statement
At CEMEX, we recognize the diversity of the world in which we live and in which we do business. We respect diversity, we address the inclusion and non-discrimination of any talented person, regardless of gender, physical ability, age, sexual orientation, culture, ethnicity, religion, political affiliation, marital status, pregnancy / maternity / paternity, and nationality. We promote a culture of equity for the construction of a sustainable business and the well-being and development of CEMEX employees.
