Marketing Data Analyst, Square Banking

  • San Francisco, CA, United States
  • Full-time

Company Description

Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.

Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.

There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.

Job Description

The Square Banking team is building new tools to help small businesses manage their cash flow and we want someone who is passionate about creating a more accessible and inclusive financial services future for small businesses. The Banking Marketing team understands our customers and communicates the right messages to the right sellers at the right time. The Marketing Data Analyst role helps us to better understand the best audiences for our products and the performance of our marketing plans in addition to identifying ways to optimize marketing efforts and strategizing with the team on the best integrations and uses of data with internal marketing technology and automation teams. You are comfortable looking at data and identifying opportunities to improve growth throughout the customer lifecycle. You will report to the Product Marketing lead for Balances products which covers Transfers, Checking, and Savings.

You will:

  • Partner with the Product Data Science team to track the business performance required to inform marketing decisions and strategy
  • Lead the Analytics and Marketing Data Science roadmap based on marketing priorities, including audience definition and targeting, personalization, channel performance, and optimizations
  • Develop and deliver marketing performance analyses and program recommendations for marketing and product leaders
  • Be the resident expert in experimental ensign, including A/B testing, incrementality measurement, and attribution.
  • Build visualizations, dashboards, reports, and alerting systems for the ongoing analysis of marketing campaigns, tests, and channels
  • Manage data science workstreams related to integrations with internal data platforms to enhance segmentation, personalization, and overall marketing performance
  • Develop relationships with internal marketing technology and automation teams and guide Banking's partnership and integration strategy

Qualifications

You have:

  • 5+ years of experience in multiple analytical and operational roles: you value combining rigorous data-driven analysis, marketing and business intuition, and an ability to work well across a variety of teams
  • Marketing: You're an expert on details of email, in-app, push and other marketing channels used to reach customers. You've been hands-on with the details of campaign targeting, experimental design, optimization and attribution.
  • Impact Orientation: business acumen, with the ability to translate quantitative data into relevant marketing insights and recommendations. Ability to translate complex data concepts and reasoning in ways that marketing teams, business leaders, and the wider organization will understand.
  • Data Fluency: You have experience manipulating and extracting insights from large datasets, and using data to make recommendations and decisions. You have extensive experience with opportunity sizing, measurement and reporting. You have used database languages (e.g. SQL, BigQuery) and visualization tools (e.g. Looker, Tableau, Amplitude) to support analyses and recommendations.

Nice to have:

  • Familiarity with machine learning product recommendation models and application in marketing contexts, for example marketing mix modeling and multi-armed bandit.

Additional Information

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Perks

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

Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

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