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

Our GTM (Go-To-Market) Analytics team is on the mission to maximize revenue by providing actionable insights and reporting to our partners across Sales, Marketing, and Growth. GTM Analytics is situated within the broader Data Science organization at Stripe, which is home to a diverse team of data analysts and scientists, product managers, and engineers that span their focus across sales, marketing, and product-led growth. GTM Analytics leverages sales, marketing, and product data to build and provide a wide variety of tools that are utilized across the company to drive business decisions.

What you’ll do

As a senior member of the GTM Analytics team, you will lead analytical projects that shed light on our self-service business. You will increase our understanding of growth drivers and influence business outcomes by recommending solutions rooted in analyses and your deep understanding of Stripe’s users. You will partner closely with cross-functional Growth pods of product managers, marketers, engineers, and data analysts and scientists that obsess over the experience Stripe users have on their journey to become customers – from initial signup through onboarding and retention.

Responsibilities

Collaborate with Growth stakeholders to ideate, scope, and develop data products that shed light on Stripe’s self-service business.
Influence Stripe’s Growth roadmap by proactively identifying opportunities and emerging trends in Stripe’s Growth business in ongoing forums.
Develop frameworks that allow for analysis at scale across Stripe’s self-service experience.
Build and maintain data pipelines and dashboards that provide consistent and timely data and insights.
Work with finance partners on forecasting and planning models that provide visibility into the future of Stripe’s self-service business.
Define key Growth metrics, gain consensus around their definitions, and drive adoption of their usage.

Who you are

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

8+ years of experience in analytical roles working with large datasets
Bachelor’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field
Proficiency in SQL and Python
Experience building self-serve dashboards or other scalable analytical tools for partner teams
Strong knowledge of statistics
Expertise in data storytelling and visualization, using data-driven insights to deliver actionable recommendations and drive business goals
Demonstrated ability to lead and deliver on multiple projects with a high attention to detail
Outstanding written and verbal communication skills

Preferred qualifications

Master’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field and/or experience in working on data analytics in the tech field
Experience developing data-informed narratives and visualizations for external publication
Experience working with institutions that are respected by policymakers and the wider public for their economic insight
Experience building and maintaining data pipelines using a distributed data framework (e.g. Hadoop, Spark)

This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

The annual US base salary range for this role is $179,000 - $268,400. 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 location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Office locations

Toronto, or Chicago

Remote locations

Remote in United States, or Canada

Team

Data & Data Science

Job type

Full time

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