Data Analyst, Customer Success

  • St. Louis, MO, USA
  • Full-time
  • Alternate Location: Atlanta, United States

Company Description

Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.

Job Description

Square is looking for a curious and creative Data Analyst to join our Customer Success Analytics team to provide decision support for our leaders and customer advocates across our Customer Success organization.

Location: Open to St Louis, MO, Atlanta, GA, Scottsdale, AZ or San Francisco, CA

You will: 

  • Collaborate with other talented Analysts in the team to create data infrastructure,  calculate metrics, build dashboards and track trends in customers’ journeys and customer advocates’ experience

  • Work well in a fast paced environment within our highly distributed organization and be comfortable dealing with ambiguity

  • Partner with stakeholders across Customer Success to provide data-driven insight by applying descriptive and predictive analytics where it will have measurable impact

  • Deploy a diverse set of methodologies including statistics, quantitative reasoning, or machine learning to research and produce insights

  • Communicate reporting outcomes and improvement areas effectively to stakeholders

  • Apply out of the box thinking, problem-solving abilities and operational experience to derive solutions

  • Handle multiple projects at a time, deliver to the objectives on time

  • Learn and grow a lot on the job, build strong partnerships. Hope you will have fun doing it


You have: 

  • Bachelor's degree in Statistics, Information Science, Computer Science, Mathematics or Economics is desirable

  • 1 - 3 years of analytics, business intelligence, data science experience or equivalent

  • Proficient in SQL, Python and query optimization, familiar with ETL process, experience with data modeling, reporting and visualization.

  • Fluency with data analytics and visualization tools such as Looker, Power BI, Jupyter Notebook, Tableau or ThoughtSpot

  • Experience applying statistical or machine-learning techniques to solve practical customer problems such as trending issues, calculating churn, cross selling, clustering searches is desirable

  • Familiarity with data warehouse design and best practices

  • Exceptional communication, critical thinking, and interpersonal skills

  • Ability to present complex issues in a clear and concise manner

  • Strong organizational skills and the ability to prioritize and manage multiple projects simultaneously with complex and demanding timelines

Additional Information

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. 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.


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