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 drive 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:
Partner with various stakeholders to make data-driven decisions across the organization by leveraging descriptive and predictive analytics to produce material impact
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
Provide comprehensive day-to-day analytics support to partner teams, develop tools and resources to empower data access and self-service
Lead the data strategy of embedded product engineering, influencing them 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 via dashboards
Qualifications
You have:
3+ years of analytics experience or equivalent
A BS/BA in Math, Statistics, Economics, or a related technical field
Extremely strong written and verbal communication skills and ability to build strong relationships and influence with product partners
Strong problem solving skills and ability to translate ambiguous, unstructured business problems into actionable data-driven analyses
Fluency with data, analytics and visualization technologies (We primarily use SQL, Looker, and Python)
Proven ability to lead cross-functional projects that depend on the contributions of others in a variety of disciplines
Familiarity with data warehouse design, 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.