Data Analyst, Customer Success
- Full-time
- Alternate Location: Atlanta, United States
Company Description
Job Description
Square is looking for a Data Analyst to join the Seller Customer Success Operations team to help build the strategy by providing data insights around customer satisfaction, team happiness, and operational efficiency.
As a member of the team, you will lead experimentation initiatives (including AB testing), develop automation solutions, run analysis and summarize insights from the vast amount of data captured by Square, and drive strategic decisions based on data to improve the performance of our organization.
You will:
Partner with stakeholders to make data-driven decisions across the organization by leveraging descriptive and predictive analytics where it will have material impact
Apply a diverse set of tactics including statistics and quantitative reasoning to solve problems as well as independently research and produce actionable insights
Own, coordinate, and solve complex, cross-functional problems with data driven analysis
Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written media
Provide comprehensive day-to-day analytics support to partner teams, develop tools and resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Lead strategic analytical projects that provide relevant insights or promote operational change. You will partner with senior leadership to accomplish these projects, providing analytical horsepower to high-level projects
Perform ad hoc analyses of business performance trends to inform executive decisions and provide ad hoc reporting in Looker. For example, performing deep dive analytics on high-impact topics such as drivers of call volumes by customer segment and the long-term impact of calling Customer Success
Qualifications
You Have:
1 - 3 years of professional analytical experience in consulting, data analytics, data science, or machine learning and predictive analytics
Bachelor's degree required, with major in analytics, statistics, finance or data science field strongly preferred
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 (e.g. Tableau, Looker)
Work experience with Python
Proven ability to lead data-driven cross-functional projects that depend on the contributions of others in a variety of disciplines
Fluency with statistics techniques to structure analyses and provide insights (e.g. statistical tests, AB testing)
Strong written and verbal communication skills and ability to build strong relationships and influence cross-functional teams
Familiarity with scripting/programming for data mining and modeling is a plus
Experience in applying data-backed heuristics to solve practical product problems such as predicting churn, cross selling, clustering user archetypes, and more is a plus
Additional Information
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
- Paid time off
- Learning and Development resources