Senior People Analytics Lead

• Own the analytics roadmap, prioritize workforce, talent, and operational questions, and balance immediate needs with foundational work like data quality, consistent metrics, and reliable reporting.
• Build trusted people data, partnering with HRIS and data owners to maintain reliable datasets and pipelines.
• Analyze onboarding, employee changes, case management, and offboarding to find bottlenecks, errors, and manual work, set baselines, recommend improvements, and measure results.
• Develop metrics for service demand, cycle times, resolution quality, and rework to inform capacity, self-service, and automation priorities.
• Work with People Business Partners and Finance on headcount, workforce costs, org structure, hiring, retention, internal mobility, and succession, connecting findings to workforce plans.
• Apply advanced methods such as statistical analysis, forecasting, and predictive techniques with clear communication of assumptions and limitations.
• Build dashboards that leaders use, streamline recurring reporting, and run quarterly workforce insights reviews highlighting changes, risks, and recommended actions.
• Advance AI and automation responsibly by identifying, validating, and measuring practical AI and automation opportunities.
• Set analytical standards and coach People colleagues on using data confidently.

• 8+ years in people analytics, HR analytics, or a related field, with substantial experience applying analytics to People data and processes.
• Strong understanding of HR operations, employee lifecycle processes, and workforce and talent metrics.
• Experience with Workday or a similar HRIS, including how system configuration and business processes affect data quality.
• Experience integrating complex HR datasets and building sustainable pipelines with HRIS, IT, or data engineering teams.
• Advanced SQL and strong Python or R skills.
• Advanced proficiency in Databricks, Tableau, or similar platforms, with a track record of building reporting that leaders use to make decisions.
• Strong grounding in statistical methods, with the judgment to match the approach to the question and the data.
• Demonstrated success translating analysis into measurable improvements in efficiency, service quality, data accuracy, or employee experience.
• The ability to scope ambiguous requests, prioritize competing needs, and deliver independently.
• Clear, compelling communication with senior People and business leaders.
• Sound judgment with sensitive employee data and a commitment to privacy, fairness, and responsible AI.

Pay range: $137K - $173K

• Comprehensive health and wellness benefits
• Bonus and RSU equity programs
• Global perks