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.

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. Squares 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.

The Square Appointments product helps service professionals manage their calendar on the go for Appointment-based businesses. With Squares online scheduling software, customers can always get access to their availability and confirm their appointments seamlessly online. Our merchants can easily keep their schedules open and attract new businesseven when they're done for the day.

Our team has a plethora of interesting data challenges. Product Analysts need to deeply understand the business and help understand strategic trade-offs in our development process. Appointments is unique in that it has both payment transaction and Software as a Service (SaaS) business models. Analysts are deeply involved during our development process, providing insights and digging deeply with applied data science to help drive decisions. Appointment scheduling is a unique in that there are many complex interactions between both consumers as well as merchants. Youll get to work on both side of the product, both the consumer booking behavior and the merchant scheduling features.

You will:

• Partner with product stakeholders to make data-driven decisions across the organization by leveraging descriptive and predictive analytics where it will have material impact

• Apply a diverse set of tactics including statistics, quantitative reasoning, and machine learning, to solve problems as well as independently research and produce actionable insights

• Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of product domains, analytics, and data science

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

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

• 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

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

You have:

• 3+ years of analytics experience or equivalent

• Strong written and verbal communication skills and ability to build strong relationships and influence with product partners

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

• Fluency with data, analytics and visualization technologies (We primarily use SQL, Looker, and Python)

• 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

• Familiarity with data warehouse design, development and best practices

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.