Descripción
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 decisionmaking & 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:
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Languages needed & proficiency:
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Spanish and English: Advanced proficiency, with the ability to communicate effectively in a business environment.
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Academic Background: A bachelor's degree in fields such as Computer Systems, Digital Transformation, Data Science or Engineering. Master in Data Analytics
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Areas of Expertise: 5-7 years in HR data management, data analysis, or a related field.
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Technical Skills:
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Programming Languages:Proficiency in Python
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Data Management and Visualization: Experience with SQL for database management, and tools like Power BI or Tableau for data visualization.
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Machine Learning Libraries: Familiarity with libraries such as scikit-learn, TensorFlow, or PyTorch for implementing machine learning models.
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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.
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