Software Engineer

  • Atlanta, GA
  • 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 Trusted Identity Team is part of Squares Payments Platform and is responsible for validating the identity of new sellers and making sure that all sellers utilize our services appropriately. The team is comprised of three subteams: Operations Data Science, Compliance Engineering and Underwriting Engineering.

As the Product Analyst for Trusted Identity, you will be responsible for driving analytical projects across Trusted Identity, as well as building and automating actionable reporting with our payment partners. You will report to the lead for Operations Data Science.

Were looking for an inquisitive, metrics-driven self-starter that is not afraid of challenging assumptions, diving into the data, and double checking results.

You will:

  • Drive cross-functional analytics projects from beginning to end: Build relationships with partner teams, frame and structure questions, collect and analyze data, and summarize and present key insights in support of decision making

  • Develop data marts, dashboards, reports, and deep-dive analyses to inform the ongoing roadmap of the Trusted Identities team

  • Work closely with engineers and data scientists to evangelize data best practices and implement ETLs that power impactful analytical solutions


You have:

  • 4+ years of experience in a variety of analytical roles: You thrive on combining rigorous data-driven analysis, strong business intuition, and an ability to work well across a variety of teams to solve complex problems, and you have done so at a fast-growing technology company. Youve likely held roles in product analytics or business intelligence.

  • Data fluency: You are an expert in building and using large data sets to extract insights, and you have experience solving analytical problems using a variety of tools including database languages (e.g. SQL or BigQuery), analytics and visualization packages (e.g. Looker, Tableau, Python, R), and ETL tools (e.g. Airflow).

  • Structured problem solving skills:  You have experience applying structured analysis and quantitative reasoning to solve ambiguous problems from beginning to end including: Question formation, data model design, logging, ETL, validation, statistical analysis, visualization, and presentation.

  • Ability to influence: Experience managing cross-functional projects from start to finish and a track record of successfully building working relationships and influencing business partners. Strong written and verbal communication skills.

  • Efficiency: Excellent organizational and prioritization skills as demonstrated by experience autonomously driving multiple, competing projects under deadline pressure

  • Enthusiasm: Youre passionate about Squares mission and are willing to learn new technologies on the job

Is Even Better:

  • Experience with Looker and Airflow

  • Proficiency with data modeling concepts (e.g. star and snowflake schemas)

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

Technologies we use and teach:

  • Snowflake

  • Airflow

  • Looker

  • Statistics (Bayesian methods, experimental design, causal inference)

  • Git

  • Python

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.