Product Analyst, Hardware

  • Full-time
  • Alternate Location: Seattle, 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

As a member of the Hardware Product Analytics team, you will be embedded in our product team and own analytics for a designated product line within Square's Hardware portfolio. You will also help drive / execute the overall Hardware analytics roadmap, setting the strategy for how to bring more data, automation and machine learning to how we run the business. Just like with our Hardware devices, we started simple, but now are building Hardware analytics infrastructure from the ground up, which you will help drive. You will also leverage engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development. You will provide insights about our Sellers and Hardware products, and guide strategic decisions with data.

For more insight into what we do, check out this blog post: https://medium.com/square-corner-blog/product-analytics-at-square-8796766a14e3

You will:

  • Work with partners across the organization by applying descriptive and predictive analytics to produce material impact
  • Manage, coordinate, and solve complex problems that extend beyond the traditional boundaries of product domains, analytics, and data science
  • Communicate analysis and decisions to high-level partners and executives in verbal, visual, and written media
  • Provide comprehensive daily analytics support to partner teams, develop tools and resources to empower data access and self-service
  • Lead the data strategy of embedded product engineering to make well-informed architecture and design decisions that affect data at Square
  • Develop and maintain curated data sets using ETL and build/share data visualizations through dashboards

Qualifications

You Have:

  • 4+ years of analytics experience or equivalent
  • A BS/BA in Math, Statistics, Economics, or a related technical field
  • Ability to translate ambiguous, unstructured problems into applicable data-driven analyzes
  • Fluency with data, analytics and visualization technologies (We primarily use SQL, Looker, and Python)
  • Experience leading projects that depend on the contributions of others in multiple disciplines
  • Familiarity with data warehouse development and best practices

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)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.

Perks

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
  • Flexible time off
  • Learning and Development resources
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