Senior Data Analyst, Go-To-Market Automation – Square
DataBookmark Details
Square (501+ Employees, 60% 2 Yr Employee Growth Rate)
19% 1-Year Employee Growth Rate | 60% 2-Year Employee Growth Rate | LinkedIn | $601.2M Venture Funding
What Is Employee Growth Rate & Why Is It Important?
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
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
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.
About Square
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. So we’re building easy tools to empower and enrich people. Tools that shorten the distance between having an idea and making a living from it—because we believe in fair and square. We started with a little white card reader but haven’t stopped there. Our new reader helps our sellers accept chip cards and NFC payments, our Cash app lets people send money instantly, and we’re building easy tools for customers, too. We’re empowering the electrician to send invoices, setting up the food truck with a delivery option, helping the clothing boutique pay its employees, and giving the 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.