We believe everyone should be able to participate and thrive in the economy. So we’re building tools that make commerce easier and more accessible to all. We started with a little white credit card reader but haven’t stopped there. Our new reader helps our sellers accept chip cards and NFC payments, and our Cash app lets people pay each other back instantly. We’re empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. Let’s shorten the distance between having an idea and making a living from it. We’re here to help sellers of all sizes start, run, and grow their business—and helping them grow their business is good business for everyone.

You will:

• Partner with Square’s product teams to identify, prioritize, and answer the most important questions where analytics will have material impact

• Work on Square’s Product Analytics team with Data Scientists/Product Analysts/Data Engineers

• Use your experience in analytics tools and scientific rigor to produce actionable insights

• Build visualizations that expose the health and performance of our products

• Communicate key results to senior management in verbal, visual, and written media

• Work with engineers to evangelize data best practices and implement analytics solutions

You have:

• Pursuing a degree in Economics, Statistics, Computer Science, Mathematics, or related technical field

• Experience performing data analysis using Python (pandas, scikit-learn, etc.), R and/or SQL

• Ability to understand complex business and data systems

• Ability to clearly communicate complex results to technical and non-technical audiences

• Versatility and willingness to learn new technologies on the job

Even better:

• An advanced degree (B.S., M.S., PhD.), preferably in Statistics, Computer Science, Physical Sciences, Economics, or a related technical field

• Familiarity with Linux/OS X command line, version control software (git), and general software development

At Square, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. All your information will be kept confidential according to EEO guidelines.