Manager, People Analytics – Insights
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Job Description
Manager of People Analytics driving Talent Acquisition analytics while fostering an inclusive culture at BD. Delivering advanced insights and strategic recommendations for business impact.
Responsibilities:
- Serve as a strategic business partner and technical leader focused on Talent Acquisition analytics and advanced/predictive workforce intelligence
- Partner directly with Talent Acquisition leadership and recruiting teams to understand hiring challenges
- Build dashboards, scorecards, and reporting frameworks for real-time visibility into recruiter performance
- Design and develop predictive hiring models
- Present analytical findings and strategic TA recommendations to executive leadership
- Develop advanced analytics solutions utilizing predictive modeling, machine learning, and statistical techniques
- Build regression, classification, and clustering models applied to TA use cases
- Oversee the integration and management of complex HR and TA data from multiple sources
- Create aesthetically compelling dashboards, reports, and presentations using Power BI
- Lead multiple complex TA analytics projects simultaneously
Requirements:
- Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, Industrial/Organizational Psychology, HR Management, or related technical or business discipline
- 6+ years of total professional experience with a strong blend of HR, Talent Acquisition, and analytics expertise
- Minimum 5+ years of hands-on analytics experience working with large, complex datasets
- Minimum 3+ years of Talent Acquisition analytics experience with deep understanding of recruiting processes, TA metrics, and hiring lifecycle
- Advanced technical proficiency in Python for data analysis, statistical modeling, and machine learning applications
- Demonstrated expertise in Power BI, including dashboard development, DAX queries, data modeling, and Power BI administration
- Strong foundation in SQL, data warehousing concepts, and data engineering principles
- Experience with advanced analytics and data science techniques including predictive modeling, machine learning, regression analysis, clustering, and classification methods applied to talent or workforce use cases
- Proficiency in statistical analysis and hypothesis testing with strong applied statistics knowledge.
Benefits:
- Learning and working alongside inspirational leaders and colleagues
- Fostering an inclusive, growth-centered, and rewarding culture
- Opportunities to help share the trajectory of BD
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