Senior Data Analyst, Go-To-Market Automation

  • San Francisco, CA, United States
  • Employees can work remotely
  • 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

Square’s Account Management organization works with Square’s largest and most strategic merchants to grow and retain their businesses and to deliver insights to product teams. The Go-To-Market Automation team works to empower data-driven operations and decisioning across the Account Management team.

As a member of the Go-To-Market Automation team, you will work primarily with our Account Management team and leverage business intelligence, engineering, analytics, and data science, working nimbly throughout the data tech stack to help us maintain and develop a world class suite of data driven solutions that increase AM efficiency and intelligence. Examples include leveraging Machine Learning predictions to create an opportunity scoring pipeline, designing tooling to track account manager performance metrics, and implementing an automated system to measure incremental lift of account managers.

You will:

  • Use data to shape the long term strategy of the Account Management organization

  • Work closely with ML partners to develop new and evaluate existing predictive models used in Account Management tooling and targeting

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

  • Deeply understand the Account Management data ecosystem, and apply a diverse set of skills in business intelligence, analytics, and data science to support the organization

  • Own, coordinate, and tackle cross-functional problems across Account Management, 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:

  • 5+ years of analytical experience in consulting, data analytics, revenue operations, data science, or machine learning and predictive analytics

  • Experience with customer targeting and segmentation. Familiarity with email marketing or similar channels a plus

  • Experience in providing data driven solutions across the business intelligence and data layers of an organization

  • Advanced to expert level SQL proficiency and have familiarity with concepts beyond querying (schema and ETL design, and query optimization)

  • Experience with reporting and visualization platforms (we use Looker)

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

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

  • Experience in applying data-backed heuristics to solve practical product problems such as predicting churn, cross selling, clustering user archetypes, and more

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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