Marketing 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

This role will be focused on working with the marketing team to grow Square Ecommerce user acquisition and increase retention.  The ideal candidate is self-driven and will leverage superb technical, communication, and problem-solving skills to drive analytically sound recommendations to efficiently increase our marketing investments.  You will partner with data science to continually evolve LTV, marketing attribution frameworks, and support the marketing team in tracking / optimizing our acquisition spend across all channels.  This role will challenge you to think strategically and contribute to high-level discussions across the organization. 

 

You Will:

  • Partner with marketing managers, engineers, and strategy leaders while ensuring the right questions are being asked, solicit feedback, and iterate until you reach meaningful conclusions backed by solid analyses

  • Use SQL on a daily basis to develop marketing data pipelines, write complex queries, and perform analyses

  • Solve problems, challenge assumptions, and expect to be faced with open-ended questions

  • Lead analytical analyses / projects such as funnel analysis, channel optimizations, view-thru impact, landing page test design and evaluation (e.g. SEM, Social, Display, Affiliates, Organic, SEO)

  • Evolve LTV and marketing attribution frameworks in partnership with data science

  • Collaborate with business leaders across Square to develop financial forecasts, build operational goals, and optimize investment spend

  • Define marketing KPIs and build self-serve data visualization dashboards for you / stakeholders to monitor performance

Qualifications

You have: 

  • 3+ years of analytics experience (e.g., marketing analytics, product analytics, data science)

  • Fluency with data, analytics, and visualization technologies (e.g. SQL, Looker, and Python)

  • Superb marketing instincts and natural curiosity

  • Articulate / thoughtful communication style and able to develop trust and accept feedback

  • Deep understanding of LTV and marketing attribution frameworks (marketing mix modeling experience a plus) 

  • Excellent troubleshooting skills and attention to detail

  • Ability to manage competing priorities from multiple stakeholders

  • Bachelor's degree or higher, preferably in a quantitative discipline (e.g., Statistics, Analytics, Econometrics, Mathematics or related field)

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
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