Business Operations Analyst, Account Management
- Full-time
Company Description
Job Description
Square’s Account Management organization works with Square’s largest merchants to grow and retain their businesses and to deliver insights to Square’s product teams. Within Account Management, the Account Management Operations and Analytics team works to empower data-driven operations and decisions across the Account Management organization.
As an AM Analysts, you will 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 creating an opportunity scoring pipeline with predictions from Data Science, designing the inclusion of account manager performance metric data into tooling, and implementing an automated system of measurements to detect incremental lift of account managers.
You will:
Use data to shape the long term strategy of the Account Management organization
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:
2+ years of analytical experience in business operations, analytics and data science, or consulting
Experience in providing data driven solutions across the business intelligence and data layers of an organization
Mastery of data, analytics and visualization technologies
Looker or equivalent
Snowflake SQL or equivalent
Airflow or other ETL tool equivalent
Python or equivalent a plus
Familiarity with data visualization, data warehousing, and predictive modeling
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