Product Analyst, Capital

Full-time

Company Description

When we launched the little white reader, we invented mobile, ubiquitous payments and enabled anyone to start, run, and grow a business. Ten years and billions of transactions later we’re reimagining commerce for businesses of all types and sizes—we’re enabling the independent electrician to send invoices, helping the beauty salon pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. 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 Product Analyst on the Capital Data Science Team at Square, you will be responsible for leveraging analytics, engineering, and machine learning to empower data-driven decision making in the full lifecycle of product development. You will work closely with cross-functional partners, particularly product managers and machine learning engineers. You will leverage data to predict credit and fraud risk, drive strategic decisions, and lead experimentation/growth initiatives.

You will:

Apply a diverse set of techniques including statistics, quantitative reasoning, and machine learning, to help grow the business and improve underwriting
Provide comprehensive day-to-day analytics support to partner teams, primarily through development of self-serve tools and resources (such as ETLs and Looker)
Partner with various stakeholders make data-driven decisions across the organization by leveraging descriptive and predictive analytics to produce material impact
Define and monitor key metrics for product initiatives
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

Qualifications

Must have:

3+ years of analytics experience or equivalent
Fluent in data tools for analysis and visualization (SQL, dashboards, python/R)
Strong problem solving skills and ability to translate ambiguous, unstructured business problems into actionable data-driven analyses
Skilled verbal and written communication to explain technical analysis to non-technical stakeholders
Familiarity with data warehouse design, development and best practices
Proven ability to lead cross-functional projects that depend on the contributions of others in a variety of disciplines
Experience in applying both data-backed heuristics and machine-learning techniques to solve practical product problems such as funnel optimization. Bonus points for experience applying these techniques to underwriting.
Some background in lending, finance or risk is helpful but can be learned on the job

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. Perks At Square, we want you to be well and thrive. Our global benefits package includes: Healthcare coverage, Retirement Plans, Employee Stock Purchase Program, Meal reimbursements, Wellness perks, Paid parental leave, Flexible time off, Learning and Development resources