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.
