Talent Acquisition Enablement fuels Figma’s hiring efforts through thoughtful process design, technology architecture and data insights. Our goal is to make hiring at Figma feel easy!. 

Figma is looking for a Talent Acquisition Analyst to lead the delivery of our recruiting data and insights strategy. In this role you’ll generate data to inform our designs to improve recruiting performance, drive accountability and enable our teams. You'll partner directly with senior leaders to answer critical business questions and inform our global operating strategy. As the first talent analytics hire, you will be the domain expert and have an outsized influence on the future of talent acquisition analytics and insights at Figma.

 What you’ll do at Figma:

• Work directly with recruiting leaders to understand business needs, scope data requests, synthesize insights, and provide practical recommendations that drive our talent acquisition strategy.
• Identify critical metrics to measure recruiting productivity. Monitor performance and present action plans for improvements on a regular cadence.
• Translate complex findings and data in a compelling and easy-to-understand narrative for audiences of all technical levels.
• Partner with cross functional team members to ensure processes and system integrations are designed to produce high quality data and insights.
• Inform the selection and implementation of next-gen analytics and data visualization tools.

Some projects you could work on:

• Build self-serve reporting/dashboards of KPI’s and diagnostic measures with one of our operating principles in mind of ‘design for people, informed by data’ that enable quick and effective solutions for our talent acquisition team.
• Develop a model for recruiter and interviewer capacity planning.
• Diagnose hiring bottlenecks for complex pipelines and partner with recruiting leaders on recommendations to improve efficiency.

 We'd love to hear from you if you:

• Bring an appetite for introducing impactful structure to ambiguity; you thrive in working at the infrastructure layer and building for scale.
• Are an expert systems-level problem solver; you’re able to combine data sets, understand how information flows between tools and identify possible breakdowns.
• Have delivered across the full lifecycle of analytics projects - requirements gathering, data collection, data cleansing, analysis, visualization, QA/QC, and deployment.
• Have the ability to work autonomously, build strong cross-functional partnerships and influence without authority.
• Enjoy telling stories based on both quantitative and qualitative data findings.
• Have deep experience with Excel/Google sheets and advanced proficiency in data visualization tools such as Tableau, Looker, etc. and an understanding of SQL or other programming languages like Python or R.