Business Intelligence Analyst, Go to Market

  • New York, NY
  • Full-time
  • Alternate Location: San Francisco, United States
  • Position open to remote: Yes

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 a Go To Market (GTM) Analyst within the Bureau Automation team, you will lead projects that directly contribute to Square’s growth, and closely inform investment within go-to-market channels across Sales, Marketing, SEO, etc. You will be uniquely positioned at the center of GTM data, helping product, platform, and channel teams alike interpret performance and develop strategy.  

In this role, you will leverage data engineering, analytics, and data science to help Square maintain and develop data-driven solutions to conversion attribution and the supporting business logic, and to demystify holistic, cross-channel performance. Examples include close partnership with Automation’s Measurement Science team to develop a multi-touch, cross-channel conversion attribution model, and building reporting to surface insights and opportunities on top. 

You will:

  • Use data to shape the long term strategy of go-to-market activities at Square

  • Develop, deploy and maintain ETL jobs collating and synthesizing GTM data 

  • Deeply understand Square’s go-to-market ecosystem and associated business logic

  • Develop tools, features, and reports using our data tech stack to empower self-service data access and augment intelligence

  • Own, coordinate, and tackle cross-functional problems across Marketing, Sales, Finance, Business Intelligence, Data Science, and more

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

Qualifications

You have:

  • 4+ years of analytical experience in business operations, data engineering, analytics and data science, or consulting

  • Extremely strong written and verbal communication skills and ability to build strong relationships and influence across the organization

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

  • Strong business intuition and ability to understand complex business systems

  • Strong technical skill in SQL, data engineering, and data analysis

  • Strong experience with data visualization in Looker, Tableau, or equivalent business intelligence tool

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.

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
  • Flexible time off
  • Learning and Development resources