Data Analyst

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

As part of Risk Machine learning and Decision science team at Square, You will use analytical and project management skills to drive Risk efficiency and effectiveness throughout Square. You will work hand in hand with Square's product teams and partner closely with many organizations across the business -- e.g., machine learning, data science, engineering, finance, operations, sales, and more.

You will also manage top level Risk metrics, maintain and develop the data pipeline and ETL, establish core operational metrics, and drive process improvements through analysis. The analyst is also responsible for building and coordinating executive presentation materials for Square's leadership team.

You will:

Diagnose problems and develop compelling, data-driven recommendations
Partner with Product, Engineering, and Data Science teams to design solutions to operations problems, influence product roadmaps, and solution new products/processes
Manage the development, reporting, and visualization of metrics for the entire Risk organization
Maintain, develop and manage various data pipelines and ETLs
Improve risk solutions through third party evaluation and integration with a focus on improving the seller experience
Design and develop executive presentations for Square's leadership and board members

Qualifications

You Have:

A BS/BA in Statistics, Mathematics, Operations Research, Management Science, Computer Science, or a related technical field, OR BS/BA in Criminal Justice, Economics, Business, or a related business field
4 or more years of relevant experience (or masters and 2+ years)
Proficient in SQL
Intermediate knowledge on Python (Numpy, Pandas, Matplotlib etc.)
Experience with designing and creating data visualizations (e.g. Looker)
The ability to answer unstructured questions and bring projects to conclusion
A strong passion for Square's mission

Even Better:

Experience and interest in risk, trust & safety, payments, or spam prevention
Experience with scripting and data analysis programming languages (e.g. Python, R, etc)
Experience using statistics and machine learning
Consulting / project management experience

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. 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
Paid time off
Learning and Development resources