Product Analyst, Retail

  • New York, NY
  • Full-time

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

Your local retail store owner has struggled too long with clunky, outdated and disconnected tools. While massive Retail and E-tail forces are using their scale to win themselves buyers, we are using our scale to level the playing field for small-to-midsize businesses. We’re building them streamlined and elegant solutions to complex problems like advanced inventory and order management, predictive analytics to keep their businesses running smoothly and fluid omni-channel capabilities so they can meet their buyers wherever they are. We on the Square for Retail team believe the brightest future of Retail is in the customer connection - and we’re betting on small businesses to win.

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 life cycle of product development. Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby enabling us to build a remarkable product experience. For more insight into what we do, check out this blog post.

As a Product Analyst on the Square for Retail team, you will:

  • Partner with the product stakeholders to identify, prioritize, and answer the most important questions where analytics will have a material impact: using your experience in analytics tools and scientific rigor to produce actionable insights

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

  • Build visualizations that expose the health and performance of our products, and proactively investigate & communicate the key drivers of the business

  • Discern where simple analytics solutions (e.g. a quick visualization) are preferable to complex solutions (i.e. machine learning)

  • Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written media

  • Contribute to the data strategy of product engineering, influencing engineers to make well-informed architecture and design decisions that affect data at Square

  • Lead and mentor others in Product Analytics on medium and long-term cross-functional initiatives that span product domains


  • 2+ years of analytics experience or equivalent

  • Experience performing data analysis using SQL, and familiarity with a BI tool such as Looker or Tableau (we use Looker)

  • Experience in applying both data-backed heuristics and machine-learning techniques to solve practical product problems such as predicting churn, cross selling, clustering user archetypes, and more

  • Experience performing data analysis and/or machine learning using Python (pandas, scikit-learn, etc.) or R

  • Very strong communication skills: ability to clearly communicate complex results to technical and non-technical audiences in verbal, visual, and written media

  • Proven ability to lead cross-functional projects that depend on the contributions of others in a variety of disciplines

  • Ability to understand complex business and data systems; versatility and willingness to learn new technologies on the job

Even better:

  • An advanced degree (B.S., M.S., PhD.) in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical field

  • Familiarity with data warehouse design, development and best practices

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

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.