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. And make it easier for customers to shop and pay at their favorite businesses. 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, engineering and operations teams to prioritize and answer the questions where analytics will have a material impact.

• Use scientific rigor to optimize outcomes in payment acceptance, transaction costs, and product features.

• Build self-service data tools that enable monitoring the health and performance of our core business.

• Be the subject matter expert on payments data and communicate recommendations to decision makers.

• Evangelize data best practices and act as an advocate of data driven culture across Square.

You have:

• 2+ years of industry experience using data analytics to produce impactful insights in payment, product, marketing, or business roles

• Experience driving cross-functional analytics projects from beginning to end: question formation, data model design, logging, ETL, validation, analysis, machine learning, visualization, and presentation

• Ability to clearly communicate complex results to partners in verbal, visual, and written formats

Technologies we use and teach:

• Query languages (SQL)

• Data science languages (Python, R)

• Databases (Vertica, Hive)

• Visualization (Tableau, Amplitude)

• Version control (Git)

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.