People Analytics Lead San Francisco

We’re looking for someone to join the People Operations team who is passionate about applying their analytical skills to better understand our organization and the people within it. As the first ever hire in People Ops dedicated to people analytics, your role will involve collaborating across Stripe to harness existing systems – and potentially build new ones – to collect and analyze people data, offer analysis and reporting to managers and staff, and partnering with other people teams to help them make more data-driven decisions.

Guide to the onsite interview (PDF)

You will:

• Work closely with our recruiting team to use data to improve our hiring process, with particular focus on funnel metrics, candidate experience, and candidate quality

• Provide actionable insights based on analysis of attrition and performance data

• Improve our organizational health by identifying driving factors in company surveys and focusing on complete feedback loops

• Design research processes around how to build effective teams and the best people managers, ultimately leading to partnerships with learning & development

You’d ideally have:

• 6+ years experience working with and analyzing large data sets to solve problems within the people or finance space

• Expertise in statistical and analytical techniques

• A collaborative approach to getting work done

• Experience diagnosing organizational challenges and implementing their cross-functional solutions

• Passion for organizational development and design

Nice to haves:

• A PhD or MS in a relevant field (e.g., Industrial-Organizational Psychology or Social Organizational Psychology with a focus on quantitative methods)

• 5 years within a Management Consultant role focusing on People Operations within growing organizations

• Experience scaling a similar function in a high-growth organization

You should include these in your application:

• A resume and LinkedIn profile

• A time you’ve analyzed data, brought it to life via storytelling, and affected meaningful organizational change as a result