Industrial Engineer

  • San Francisco, CA
  • Full-time

Company Description

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.

Job Description

The payments team enables Square to move money. From developing infrastructure to working with external partners, we find the best ways to move money across different networks and countries in a way that is cost-effective, available, scalable, secure, and forward-looking.

As a product analyst on the team, you will lead experimentation and provide insights to help us better understand and maximize our availability while minimizing our transaction costs.

You will:

  • Partner with product, engineering, and operations teams to identify questions and answer them with data.

  • Optimize our payment acceptance and transaction costs through analyses, experiments, and machine learning.

  • Push the collection of new data and the refinement of existing data sources

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

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


  • 5+ 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 initiate and drive projects to completion with minimal guidance

  • Ability to clearly communicate complex results to partners

  • Willingness to learn new tools and technologies to solve unstructured problems

  • Experience with large data sets


Technologies we use and teach:

  • Query languages (SQL)

  • Scientific computing languages (Python, R)

  • Databases (BigQuery, Snowflake)

  • Visualization (Looker, Amplitude)

  • Version control (Bitbucket)

Additional Information

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) 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. Perks At Square, we want you to be well and thrive. Our global benefits package includes: Healthcare coverage, Retirement Plans, Employee Stock Purchase Program, Meal reimbursements, Wellness perks, Paid parental leave, Flexible time off, Learning and Development resources