Introduction to the HR analyst profession
The HR analyst is a data expert serving human resources strategy. They collect, analyse and interpret HR data to optimise recruitment processes, talent management, compensation and organisational performance. In France, this role is growing with HR digitalisation and People Analytics expansion.
They exploit HRIS (HR Information Systems), create dashboards, conduct predictive studies and recommend concrete actions to improve employee experience. The role evolves rapidly with AI: predictive turnover modelling, sentiment analysis, algorithmic recruitment process optimisation.
Main responsibilities
Collection and consolidation of HR data
Extract data from HRIS (Workday, SuccessFactors), ATS, LMS and internal surveys. Ensure quality, consistency and reliability of data.
HR analysis and reporting
Produce HR dashboards: headcount, turnover, absenteeism, payroll, recruitment, training. Analyse trends and identify gaps against targets.
People Analytics and predictive studies
Use statistical and machine learning techniques to predict turnover, identify flight risks, assess impact of HR policies.
Optimisation of HR processes
Analyse effectiveness of recruitment processes (time-to-hire, cost-per-hire), training (ROI), performance evaluation. Propose improvements based on data.
Support for strategic decision-making
Present data-driven recommendations to HR management: retention strategies, succession planning, compensation policies.
Monitoring and compliance
Monitor best practices in People Analytics, regulatory changes (GDPR, gender equality index) and HR technology innovations.
Required skills
Technical skills vs Soft skills
- Advanced Excel mastery (pivot tables, PowerQuery, complex formulas)
- BI tools expertise (Power BI, Tableau, Qlik)
- HRIS knowledge (Workday, SAP SuccessFactors, Talentsoft)
- Statistics and data analysis basics
- SQL mastery for data extraction
- Python/R notions for advanced analysis (appreciated)
- Labour law and GDPR compliance knowledge
- Analytical mindset and methodological rigour
- Ability to synthesise complex information
- Effective communication (data storytelling)
- Discretion and absolute confidentiality respect
- HR strategic vision and business sense
- Adaptability and continuous learning
Training for HR analyst
| Level | Qualification | Opportunities |
|---|---|---|
| Bac+5 | Master HR + data/analytics specialisation | Junior HR analyst |
| Bac+5 | Business School (HR or data) | HR Analyst, People Analyst |
| Bac+5 | Master Data Science with HR orientation | People Analytics Specialist |
| Bac+5 | Engineering school + HR specialisation | Senior HR analyst, HRIS Analyst |
Career development
Junior HR analyst
Reporting, dashboards, descriptive analysis.
Confirmed HR analyst
People analytics, complex studies, strategic projects.
Senior People Analyst
Predictive modelling, HR strategic advice.
People Analytics Manager
Team management, HR data strategy.
HRIS Director (DSIRH)
HRIS and company HR data management.
Salary scale 2026
HR analyst salary (annual gross)
| Experience | SME/Mid-market | Large enterprise | HR Consulting |
|---|---|---|---|
| Junior (0-3 years) | 32-38K EUR | 35-42K EUR | 38-45K EUR |
| Confirmed (3-6 years) | 38-48K EUR | 42-52K EUR | 45-58K EUR |
| Senior (6-10 years) | 48-60K EUR | 52-65K EUR | 58-75K EUR |
| Manager (10+ years) | 60-75K EUR | 65-85K EUR | 75-95K EUR |
Essential HR KPIs to master
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