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.
We’re looking for an experienced data analyst to deepen the understanding around the economic impact Stripe is having globally. You will be part of a community of analysts and data scientists on the Go-to-Market Analytics team, and you will be partnering with Stripe’s Communications and Policy teams to build and protect Stripe’s brand and influence across the world.
Stripe holds a unique view of the world, with real-time insight into changing trends, industries, and cross-border commerce. The Data Analyst, Communications role will focus on using data to demonstrate how Stripe enables broad and often surprising economic growth. This role will help tease out novel economic insights from Stripe data to tell stories about how pockets of the economy are changing or evolving, and about how Stripe is advancing economic opportunities for entrepreneurs and increasing the GDP of the internet.
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.
The annual salary range for this role in the primary location is £88,825 - £120,175. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.
Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.
Data & Data Science