Figma is hiring a
Director People Analytics

Summary

Join Figma as a Director, People Analytics to leverage your passion for data into identifying key insights that drive business decisions. You will lead the implementation of a new people analytics tool and develop a long-term strategy that allows us to embed analytics in the rhythm of the business.

Requirements

• Experience in a quantitative or people analytics role
• A passion for analyzing data to see beyond the numbers and help inform and influence business decisions
• Experience leading and developing a team of high-performing analysts
• Proficient in data analytics, able to bring to bear various internal and external data sources to generate data-driven insights and support strategic talent decisions
• Experience using SQL, R, Python for data analysis
• Strong understanding of HR data and HR employee lifecycle processes (talent acquisition, talent development, workforce planning, DE&I, employee listening, etc.)

Responsibilities

• Lead, develop, and centralize a team of recruiting and people analysts focused on building employee lifecycle metrics
• Oversee the implementation of a new analytics tool that will allow us to combine multiple data sources including Greenhouse, Gem, and Workday
• Use data to create compelling and actionable data stories to drive insights and decision making across the organization
• Partner with executives and people team collaborators to prepare materials for Board meetings and company-wide initiatives
• Identify and provide key insights and recommendations around organizational health, including hiring and retention, internal mobility, belonging & inclusion, employee experience, and more
• Build a roadmap and prioritization process for continued development of our reporting and analytics capabilities across all people systems
• Ensure consistent methodology and alignment on data collection, definitions, metrics, and reporting across our systems and teams
• Collaborate with partners on business process changes that may impact data

Benefits

• Health insurance
• Retirement benefits
• Paid time off
• Remote work, flexible hours
• Life and disability insurance
• Bonuses and incentives
• Professional development opportunities
• Wellness programs
• Family and parental leave