Senior Product Analyst, Payments

  • 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

Product Analysts at Square are embedded within product teams and leverage engineering, analytics, and machine learning to empower data-driven decision making in the full lifecycle of product development. As a member of the team, you will lead experimentation and growth initiatives, develop automation solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data.

You will:

  • Be the trusted voice of sellers by surfacing quantitative insights that shape product direction and strategy

  • Present and communicate analyses to guide management and other stakeholders

  • Apply statistics, quantitative reasoning, and machine learning to solve problems, conduct independent research, and produce actionable insights

  • Provide comprehensive day-to-day analytics support to partner teams, develop tools and resources to empower data access and self-service so your expertise can be leveraged where it is most impactful

  • Guide and mentor other product analysts

Qualifications

You have:

  • 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 complete projects with minimal guidance

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

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

  • Experience with large data sets

Technologies we use and teach:

  • Query languages (SQL)

  • Data science 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)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.