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.

The Bureau team at Square is a full-stack creative and technology group that brings Square's ecosystem to life across a variety of channels and media. We're looking for an Analytics Lead to grow our product and business analytics functions across web, SEO, messaging and other in-product surfaces. You will work alongside partners in global marketing, engineering, data science, and product to answer challenging data problems that directly impact the customer experience and Square's growth. You will help build and evangelize a culture of experimentation and self-serve access to data to make better and faster decisions.

You will

• Lead a team of 6-8 analysts embedded across platforms. You will provide technical guidance, mentorship and leadership as your team works with business partners and other stakeholders. 

• Help define KPIs and manage frameworks to establish product/channel health, growth and impact to Square across Web, Dashboard, Messaging, SEO and Account Management.

• Break down nuanced, complex data for stakeholders, while keeping customer and business context in mind.

• Get your hands dirty, challenge assumptions and pressure-test analyses.

• Be an expert in customer segmentation, personalization, and targeting methodologies; help drive the Data Science and Engineering roadmaps.

• Join a community of analytics leads and help further the discipline at Square by establishing best practices and defining career paths.

You have

• 5-7 years of experience in a data-focused role (e.g. product/business analytics, business operations, data science)

• A Bachelor's degree or higher, preferably in a quantitative discipline (e.g., Economics, Finance, Physical Sciences) or equivalent experience in an analytics role.

• Sharp data intuition and attention to detail; an ability to focus on the most essential challenges of a data problem.

• Demonstrated experience using data analysis and visualization skills (e.g. SQL, R, Tableau, Looker).

• A track record of delivering on impactful data projects with multiple, often senior, stakeholders.

• Technical initiative, curiosity and the desire to grow as an individual.

Technologies we use and teach

• SQL (Snowflake, BigQuery), Airflow, Looker

• Google Cloud, AWS

• Python, R

• Machine learning and statistical modeling frameworks

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.