People Analytics Lead

This position is ideal for senior-level people analytics professionals to join the Global People Analytics team as a People Analytics Lead, responsible for setting strategic direction, ensuring data integrity, and enabling frictionless workforce insight consumption. Role expectations - Own significant, unique, and ambiguous problems requiring evaluation of intangibles. - Partner with HR senior leadership on strategic analytics initiatives. - Apply independent judgment in statistical methodologies and technology choices. - Serve as a subject matter expert to senior HR and business leadership. - Build formal networks across HR, IT, Data, and Business functions. - Mentor and provide technical leadership to other analytics professionals. What were looking for Strategic People Analytics Leadership - Define and evolve the global people analytics strategy. - Lead design of advanced workforce intelligence models. - Translate complex data into executive-ready narratives. Metrics, Data Quality & Analytics Governance - Define enterprise KPIs and analytic standards. - Ensure accuracy and integrity of people data. - Establish scalable analytics frameworks across regions. Frictionless User Experience & Insight Consumption - Design frictionless user experiences for data access. - Create intuitive dashboards and self-service insights. - Apply human-centered design to analytics products. - Reduce manual reporting and low-value metrics. Required Qualifications - Bachelor’s degree required; Master’s preferred. - 10 years of progressive experience in people or HR analytics. - Deep expertise in HR data systems (Workday, ATS, LMS). - Advanced experience with Power BI and analytics tools. - Strong SQL, data modeling, and advanced Excel skills. - Experience applying AI, automation, or advanced analytics. Critical Skills & Competencies - Strategic systems thinking; comfort with ambiguity. - Expert-level storytelling with data. - Strong consulting and influencing capabilities. - Human-centered design mindset. - High standards for data quality, ethics, and rigor.