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Senior People Analytics Lead at Coursera. Location Information: United States. We envision a world where anyone, anywhere has the power to transform their life through learning.. 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