People Analytics and BI Lead

COMPANY OVERVIEW

KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.

POSITION OVERVIEW

We are seeking a talented and innovative Senior People Analytics Professional to join our team in Dublin. This role is critical in scaling and customizing reporting solutions for Talent Management, Talent Development, and Talent Acquisition Centers of Excellence (CoEs). The ideal candidate will have advanced analytical skills, including statistical analysis and predictive modeling, and a proven track record in providing actionable insights to drive better talent management decisions.

Key Responsibilities 

• Talent Management Partnership: Serve as an analytics partner to our Talent Management, Talent Development, and Talent Acquisition CoEs, understanding their needs, scoping out solutions, and collaborating with teammates to build high-quality and sustainable products.
• Talent and Diversity Analytics: Deliver analyses that leverage both quantitative and qualitative data to provide actionable insights.
• Talent Metrics Development: Develop and track key talent metrics to measure the effectiveness of talent management programs, initiatives, and identify relevant benchmarking.
• Executive-Level Presentations: Partner with stakeholders to create and deliver concise and impactful executive-level presentations to convey actionable insights to stakeholders.
• Statistical Analysis: Utilize advanced statistical methods to identify trends, patterns, and correlations in talent data. Develop models to predict talent outcomes such as attrition and performance.
• Data Visualization: Create visually compelling and easy-to-understand visualizations using tools like Tableau and PowerBI to effectively communicate insights to non-technical stakeholders.
• Reporting and Analytics Framework: Continuously enhance our reporting and analytics framework, shaping the roadmap, documenting internal processes, and standardizing metrics and definitions. Help scale analyses into flexible and sustainable dashboards and tools.