Contribute to the launch of Stripe Delivery Centers by utilizing data analytics and operational expertise to enhance reporting, efficiency, and decision-making for the GTM team.
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.
At Stripe, our Mexico City office is a vibrant hub at the forefront of our mission to reshape the financial landscape for businesses worldwide. Our team prioritizes collaboration, innovation, and excellence. As a member of the Mexico City team, you'll be part of a mission-driven community dedicated to enhancing the global economy and increasing the GDP of the internet. We strive for excellence by creating with craft and beauty, while having fun and celebrating our successes together. We cultivate a culture of collaboration, inclusivity and support where every team member’s voice matters. Our commitment shines through as we handle over a million support cases each year, empowering our users not just to solve problems but to achieve their goals.
The Global GTM Operations team is responsible for overall productivity and effectiveness of the sales organization, partnering closely with each GTM function and across Stripe to drive initiatives and support the overall rhythm of the GTM business. Within GTM Ops, this team supports two separate but related functional areas:
Stripe is launching Stripe Delivery Centers - a brand new global team to design, implement and grow Stripe’s operations for the next decade. We are looking for dynamic and curious people that have a passion for solving global user issues, building operations, driving process improvements and want to play a front-line role in building this new operational capability for Stripe and accelerating Stripe’s growth. If you like challenging, scaled problems and are an amazing teammate, we want to hear from you!
For the GTM Ops Data Analyst role we are seeking a technically sophisticated and detailed oriented individual who supports A&C and/or Realization Ops as an operations and analytics subject matter expert. This person will be responsible for improving the quality of analytics and insights on a consistent basis, including standardization of reporting and scalability across the function with the primary objective of enabling GTM leadership to make effective, analytically driven decisions. This person will also be innately curious and ready to dig deep into operational and performance processes, systems, and data to assess current performance, identify improvement opportunities, and provide fact-based insights that enable us to introduce improvements in order to simplify complex cross-organizational systems to improve efficiency and drive growth. We are looking for a self-starter who is passionate about their work, detail oriented, analytical and has demonstrated success dealing with ambiguity in a high-growth environment, and solving problems with limited oversight.
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.
Stripe is a financial infrastructure platform that empowers businesses to accept payments and drive growth. Serving millions of companies, from global enterprises to fledgling startups, Stripe is focused on simplifying payment processes and fostering new opportunities for its users.
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Analyst Q&A's