Develop and implement a data strategy to support talent acquisition goals.
Lead the collection, analysis, and reporting of talent acquisition data, including candidate sourcing, pipeline metrics, interview-to-hire ratios, time-to-fill, and quality of hire.
Collaborate with HR leadership to align data analytics with recruitment objectives and broader organizational goals.
Oversee the implementation of data-driven tools and techniques (e.g., predictive analytics, machine learning) to improve recruitment processes.
Analyze recruitment metrics to identify trends, inefficiencies, and opportunities for improvement.
Create dashboards, reports, and visualizations that provide real-time insights to recruitment teams and leadership.
Monitor and report on key performance indicators (KPIs) such as cost-per-hire, candidate experience, diversity metrics, and hiring manager satisfaction.
Provide insights into candidate pipeline health, identifying potential bottlenecks and advising on proactive measures.
Use historical data and trends to develop forecasts and predictive models for talent needs, helping HR teams anticipate future hiring demands.
Lead the development of DEI analytics to track progress on diversity hiring goals.
Analyze and report on diversity metrics across the talent acquisition funnel (e.g., applicant diversity, diverse interview panels, equitable offer rates).
Preferred candidate profile
Bachelors or Master’s degree in data analytics, statistics, HR management, or related fields.
7+ years of experience in data analytics, preferably within talent acquisition or HR functions.
Strong experience with HR analytics platforms, Applicant Tracking Systems (ATS), and HR Information Systems (HRIS).
Proficiency in data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python, SQL).
Demonstrated experience in predictive modeling, workforce planning, and recruitment forecasting.