Senior People Analytics Lead

This is a fully remote position, open to applicants in California, +14 more locations.

📋 Description

• Take charge of the People organization's analytics roadmap.

• Create and sustain dependable people datasets and pipelines, including metric definitions, quality checks, and thorough documentation.

• Examine onboarding, employee transitions, case management, and offboarding procedures to pinpoint bottlenecks, errors, and areas of manual intervention.

• Establish metrics for service demand, cycle times, resolution quality, and rework.

• Provide insights on workforce and talent regarding headcount, workforce costs, organizational structure, hiring practices, retention strategies, internal mobility, and succession planning.

• Utilize statistical analysis, forecasting, and predictive methodologies.

• Develop dashboards and enhance recurring reporting processes.

• Conduct a quarterly review of workforce insights, emphasizing changes, risks, and suggested actions.

• Identify, validate, and assess opportunities for responsible AI and automation.

• Incorporate privacy, access controls, and responsible usage practices in initiatives involving sensitive data.

• Establish analytical standards and mentor People colleagues on effective data usage.

• Collaborate with People Business Partners, Talent Acquisition, Total Rewards, Employee Relations, People leadership, HRIS, IT, Finance, Legal, and data engineering teams.

⛳️ Requirements

• Over 8 years of experience in people analytics, HR analytics, or a related discipline.

• Extensive experience in applying analytics to People data and processes.

• Strong knowledge of HR operations, employee lifecycle processes, and workforce and talent metrics.

• Familiarity with Workday or a comparable HRIS.

• Experience in integrating complex HR datasets and developing sustainable pipelines with HRIS, IT, or data engineering teams.

• Proficient in advanced SQL and possess strong skills in Python or R.

• High-level expertise in Databricks, Tableau, or similar tools.

• Solid foundation in statistical methods.

• Proven track record of translating analysis into tangible improvements in efficiency, service quality, data accuracy, or employee experience.

• Capability to define ambiguous requests, prioritize competing needs, and work independently.

• Strong and persuasive communication skills with senior People and business leaders.

• Sound judgment regarding sensitive employee data and a commitment to privacy, fairness, and responsible AI practices.

🏝️ Benefits

• Comprehensive health and wellness benefits.

• Bonus programs.

• RSU equity programs.

• Global perks designed to support your growth and well-being.

• Flexibility to work from home, an office, or a collaboration space.

• Opportunities for collaboration within a globally distributed team.

• Reasonable accommodations available upon request.