People Data Lead

Requirements

• Bachelor's in a quantitative field (e.g., I/O Psychology, Statistics, Data Science, Economics); relevant Master's or analytics-focused MBA preferred
• 10+ years of progressive people analytics experience, including 5+ years leading an analytics team and 5+ years embedded within or alongside HR across the full employee lifecycle
• Experience supporting 1,000+ global or multi-site workforce preferred
• Expertise in regression, modeling, clustering, factor analysis, and A/B testing for workforce questions
• Demonstrated experience partnering with data engineers to build a people data warehouse — defining the data model, specifying requirements, and validating delivered data — without needing to build the pipelines yourself
• Proficiency in SQL and Python or R for analysis, modeling, and prototyping, with enough understanding of data warehousing and ETL/ELT to guide and validate engineering work
• Ability to drive AI/LLM solutions for data synthesis and workforce storytelling
• Experience with SQL (complex joins, CTEs, window functions) and proficiency in Python/R for statistical modeling and automation
• Experience managing and governing a people data warehouse in close partnership with data engineering
• Experience with Workday and Workday analytics (Advanced/Matrix Reporting, Calculated Fields, Prism)
• Strong Excel/Google Sheets skills for ad-hoc analysis; ability and desire to reduce spreadsheet dependency
• Familiarity with People platforms (Culture Amp, Greenhouse, etc.) and data integration
• Familiarity with multi-country data privacy regulations (GDPR, CCPA) preferred

About the role

Responsibilities

• Deliver people analytics insights and reporting for both leadership and company-wide audiences, translating complex findings into clear, actionable narratives
• Build predictive models for projections such as headcount growth and time-to-fill forecasting, and conduct deep-dive investigations into workforce trends
• Own the design of a single source of truth for people data — defining the data model, schema, and metric requirements — and partner with data engineering to build and maintain a structured, auditable repository that replaces fragmented spreadsheets
• Establish a standardized metrics library (definitions, sources, methodologies, refresh cadences) and maintain automated dashboards that serve self-service needs for People Ops and managers
• Manage, mentor, and develop the People Analytics team
• Establish data governance policies including data access controls, privacy compliance, documentation standards, and quality assurance processes
• Conduct deep-dive investigations into workforce trends and present findings
• Partner with other teams to integrate people data with financial and operational datasets for cross-functional insights
• Set analytics roadmap aligned to People Operations and business strategy, managing competing priorities with a clear intake and prioritization process
• Drive stakeholder engagement by proactively identifying high-value analytics opportunities and building trust through consistent, reliable delivery
• Champion a culture of data literacy across the People Ops function and broader organisation through training, enablement sessions, and accessible reporting

What you'll get

• $225k–$275k base salary
• a competitive benefits package

Skills

SQL · Python · R · regression · modeling · clustering · factor analysis · A/B testing · data warehousing · ETL/ELT · AI/LLM · Workday · Workday Advanced/Matrix Reporting · Workday Calculated Fields · Workday Prism · Excel · Google Sheets · Culture Amp · Greenhouse · data integration · complex joins · CTEs · window functions