Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The mission of the People Analytics team is to improve Stripe’s performance by collecting data, measuring critical constructs, and generating insights that help Stripe attract, develop, and retain our most important asset - our Stripes.

As a team, we’re a group of individuals with diverse backgrounds across consulting, HR, and other data-focused domains who are curious, passionate, and obsessed with using science and data to deliver high-value precise outputs to our users.

What you’ll do

Responsibilities

• Develop and present comprehensive analysis to influence and enable decision-making
  
• Collaborate seamlessly with cross functional partner teams, internal stakeholders, and business leaders 
  
• Contribute valuable insights to our People Organization to improve our evolving processes and programs
  
• Design, build and enable the delivery of analytics products through our BI, visualization, and analytics platforms including Tableau and Visier 
  
• Identify, build, validate, enable and upkeep people metrics
  
• Conduct ad hoc analyses received through intake requests from partner teams 
  
• Partner with data engineering to identify and execute improvements against our existing workforce data ecosystem
  

Who you are

We’re looking for an analytics leader who will help us in our ongoing journey to build a world class People Analytics team and improve the overall employee experience and productivity of our Stripes. You are someone who is curious, has an eye towards craftsmanship and enjoys working in a fast-paced environment.  Through your work, you will likely need to partner closely with our People Research & Insights team, People Partners, People Org teams, and Business teams to identify opportunities for greatest impact - then deliver value through creative problem-solving, actionable insights, and effective people practices. Examples of projects this individual may lead include evaluating interview effectiveness, collaborating with Finance to forecast hiring costs and volumes in new geographies, and developing dashboards focused on opportunities to improve return to office.

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5 years of experience working in management consulting or analytics domains (people analytics experience is a plus)
  
• Strong data visualization skills - must be able to create clean visuals that highlight key findings and tell a compelling story
  
• Experience communicating technical concepts clearly, with all audiences
  
• Experience with multiple data analysis and visualization tools (Tableau and Visier preferred); experience with a scripting language (Python or R) is a plus
  
• Ability to use AI tools and techniques in analyzing workforce data, aiding in the automation of data processing and the generation of preliminary insights.
  
• Experience with human capital benchmarking and target setting 
  
• Flexible and comfortable with ambiguity (our environment changes rapidly, and your work might too!).
  
• Knowledge of data architecture, design, development, and QA/QC processes
  
• Ability to manage competing priorities and timelines to deliver high-quality solutions, as-promised and on-time
  

Preferred qualifications

• A bias toward automation and efficiency, with the know-how to cleanly structure data to enable continuous delivery of insights
  
• A desire to promote self-service capabilities for stakeholders
  
• You have operated across the full lifecycle of analytics projects - requirements gathering, data collection, data cleansing, analysis, visualization, QA/QC, and deployment
  
• You have a bias towards action and an ability to iterate towards an end state
  
• Ability to leverage Artificial Intelligence to enhance data analysis processes and derive actionable insights from more complex workforce data. This includes developing predictive models to forecast trends in employee behavior and performance
  
• Stay up to date on best practices, scientific findings, and case studies in the world of people analytics and measurement
  
• You can bring structure to ambiguity