Identify & conduct Global HR analytics: Descriptive, Diagnostic, Predictive & Prescriptive (incl. AI)- Coordinate Global HR Analytics Network (CoE, OHR & Regions)- Provide transparency on best practices & use cases (Int. & Ext.)**Main Responsibilities**:- Identify and prioritize global challenges and use cases for HR Analytics- Approach to identify and prioritize opportunities where Analytics bring value: Descriptive, Diagnostic, Predictive & Prescriptive (including use of Artificial Intelligence)- Translate business needs into HR analytics requirements (Data Translator between HR & Data Science team)- Create and maintain updated a Global Roadmap of HR Analytics initiatives- Stay on top of trends and solutions- Work with stakeholders to develop questions and hypotheses to provide insight into HR matters- Develop HR Analytics solutions to support HR teams in decision-making & interactions with their stakeholders- Conduct complex data analysis, and identify patterns and trends- Advance local use of Artificial Intelligence in HR (Predictive, Descriptive, Machine Learning, and Gen AI)- Responsible for designing and developing advanced business intelligence (BI) solutions that enable organizations to extract insights and value from their data. **(e.g. Headcount, KPI's)**:- Activate HR Analytics Network- Generate the space to share best practices, needs, challenges and ideas- Coordinate Global HR Analytics Network (CoE, OHR & Regions)- Provide transparency on best practices & use cases (Int. & Ext.)**Position Challenges**:- Understanding the various aspects of HR that can benefit from analytics, such as recruitment, employee engagement, performance management, and retention strategies. It requires a deep understanding of HR processes and the ability to identify where analytics can add value.- Collaboration with Centers of Excellence, Operational HR, and regional teams to ensure alignment and sharing of best practices and use cases.- Providing transparency on best practices and use cases: Maintain a clear and open channel of communication regarding the successes and learnings from analytics initiatives to foster a culture of continuous improvement and innovation.**Qualifications**:- **Languages needed & proficiency**:- **Spanish and English**: Advanced proficiency, with the ability to communicate effectively in a business environment.- **Academic Background**: A bachelor's degree in fields such as Computer Systems, Digital Transformation, Data Science or Engineering. Master in Data Analytics- **Areas of Expertise**: 5-7 years in HR data management, data analysis, or a related field.- **Technical Skills**:- **Programming Languages**:Proficiency in Python- **Data Management and Visualization**: Experience with SQL for database management, and tools like Power BI or Tableau for data visualization.- **Machine Learning Libraries**: Familiarity with libraries such as scikit-learn, TensorFlow, or PyTorch for implementing machine learning models.- **Statistical Analysis**: A strong foundation in statistics to interpret data and drive insights.- Knowledge of big data platforms and Cloud Services- **Soft Skills**: Strong management skills. The ability to engage with various stakeholders and communicate complex data concepts in a clear manner**Internal/External Relations**:INTERNAL- P&IT- Regional HR- Other Central Areas**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.
