Data-Driven Recruitment and Hiring Analytics

  • Data-Driven Recruitment and Hiring Analytics
  • France - Paris

Data-Driven Recruitment and Hiring Analytics

Course Category : Data Management

A professional programme enabling recruitment teams to use analytics for stronger hiring decisions, improved candidate quality, and measurable talent acquisition performance.
Duration: 5 Days
Level: Intermediate to Advanced.

Starts On

5 - October - 2026

Ends On

9 - October - 2026

Location

France - Paris

Language

English

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View Course Introductory PDF

Targeted Audience

  • Recruitment and talent acquisition managers
  • HR and workforce analytics specialists
  • Workforce planning professionals
  • HR managers and business partners
  • Interviewing, selection, and assessment officers
  • Recruitment team leaders in medium and large organisations
  • HR and organisational development consultants

Targeted Skills

  • Recruitment KPI design
  • Candidate sourcing and channel analytics
  • Hiring quality and selection effectiveness evaluation
  • Data-informed bias reduction and process fairness
  • Recruitment dashboard design
  • Hiring funnel interpretation and evidence-based decision-making

Expected Outcomes

  • Understand the role of data in improving recruitment and hiring decisions.
  • Design key performance indicators for measuring recruitment efficiency.
  • Analyse candidate channels and sourcing effectiveness systematically.
  • Evaluate hiring quality using quantitative and qualitative indicators.
  • Develop recruitment dashboards that support accurate decision-making.
  • Use analytics to support fairness and reduce bias in selection processes.

Training Topics Index

  • Concept of recruitment analytics in HR
  • Operational reporting versus predictive analytics
  • Internal sources of recruitment data
  • Data quality and its impact on selection decisions
  • Ethical use of candidate data

  • Time-to-fill and cost-per-hire
  • Conversion rates across the hiring funnel
  • Candidate quality and quality-of-hire
  • Effectiveness of sourcing channels
  • Candidate experience and stakeholder satisfaction indicators

  • Analysing the candidate journey from application to hire
  • Measuring job advertisement and posting channel effectiveness
  • Analysing withdrawal and rejection rates
  • Identifying bottlenecks in the recruitment cycle
  • Improving screening and interviewing decisions through data

  • Linking recruitment data with post-hire performance
  • Analysing the accuracy of interviews and assessments
  • Reducing bias in selection decisions
  • Diversity and fairness indicators in recruitment
  • Governance and privacy in candidate data

  • Designing recruitment performance dashboards
  • Selecting decision-relevant data
  • Interpreting trends and patterns in hiring data
  • Preparing concise executive recruitment reports
  • Translating analytics into practical recommendations