(CEN) HR ANALYTICS ADVISOR

Job Description

• 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.