Manager - Data Analytics

Role & responsibilities

• 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.

Perks and benefits