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About the Role
Contribute to evolving HR practices by transitioning from descriptive HR analysis to predictive and dynamic models. Participate in key projects like salary transparency directive compliance and provide decision support for HR compensation and benefits policies. Offer expertise in Executive and Senior Manager Development.
Responsibilities
- Propose methods to leverage and cross-reference internal and external data to enhance analyses.
- Develop new statistical analysis methods tailored to HR challenges.
- Design and implement predictive models to anticipate trends.
- Establish dynamic analysis tools to inform strategic decisions.
- Communicate findings in an accessible manner to operational teams.
Requirements
- Minimum 4-5 years of experience, ideally in HR data.
- Proficiency in Python, R, or equivalent.
- Interest in HR and social science issues.
- Ability to propose solutions.
- Capacity for clear communication and teaching.
- Collaborative spirit and humility.
- BAC +5 education level.
Skills
- Data Scientist
- Python
- R
- Statistical analysis
- Predictive modeling
- Data analysis
- HR data
Location
- France
Work Type
- CDI
- Cadre
Experience Level
- 4-5 years minimum
Education Level
- BAC +5
Benefits
- Opportunities for career development into data or HR strategy roles.
- Participation in innovative projects related to HR transformation.
- Career advancement opportunities.
- Cooperative environment with a strong team spirit.
- Use of advanced technologies and methods for predictive analysis.
- Decision support for HR topics.
- Balance between technical expertise and understanding of human issues.
About the Company
- Covéa is a committed mutualist group comprising the brands MAAF, MMA, GMF, and the reinsurer PartnerRe.
- A major economic player in its territories, Covéa protects over 11 million clients and members in France with its 24,000 employees.
- Join the insurance leader and contribute to its success.