We believe the economy is better when everyone has access. When everyone has room to grow. No one should be left out because the cost is too great or the technology too complex. We started with a little white credit card reader but haven’t stopped there. 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. 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.

For this 12 week Summer 2019 internship, you will:

• Work on Squares Product Analytics team with Data Scientists/Product Analysts/Data Engineers

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

• 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

• Experience in programming or scripting to enable ETL development

• Familiarity with other data tools and databases such as Looker and Snowflake

• Experience using statistics and machine learning to solve complex business problems

• Previous industry experience or internships in product related analytics

• Independent research experience

Technologies we use and teach:

• Python

• Snowflake

• Statistics

• Amplitude, Looker, Tableau

At Square, our purpose is to empower – within and outside of our walls. In order to build the best tools for the businesses and customers we support all over the world, we have to start at home with a workforce as diverse and empowered as our sellers. To this end, we take great care to evaluate all employees and job applicants equally, based on merit, competence, and qualifications. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage candidates from all backgrounds to apply and always consider qualified applicants with arrest and conviction records, in accordance with the San Francisco Fair Chance Ordinance. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible.