Senior Data Analyst, Customer Success

Job Description

Square is looking for a Senior 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 senior member of the team, you will lead experimentation projects (including AB testing), develop automation solutions, run analysis and summarize insights from the vast amount of data captured by Square, and guide strategic decisions based on data to improve the performance of our organization and present these findings to partners.

• Partner with stakeholdersto help make decisions across the organization by applying descriptive and predictive analytics where it will have material impact

• Apply a diverse set of tactics including statistics and quantitative reasoning to find solutions, research, and produce insights

• Manage, coordinate, and solve complex, problems with data-driven analysis for cross functional partners

• Communicate analysis and decisions to high-level leaders and executives in verbal, visual, and written media

• Provide comprehensive daily analytics support to partner teams, develop tools to empower data access and self-service so your expertise can be used 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 horsepower to high-level projects

• Perform ad hoc analyses of performance trends to inform executive decisions and provide ad hoc reporting in Looker. For example, performing analytics on topics such as drivers of call volumes by customer segment and the long-term impact of calling Customer Success

Qualifications

• 5+ years of 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

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

• Advanced to expert level within statistics techniques to structure analyses and provide insights (e.g. statistical tests, AB testing)

• Expertise in visualization technologies including Looker, Tableau, and others

• Work experience with Python

• Experience leading data-driven cross-functional projects that depend on the contributions of others in a variety of disciplines

• Strong written and verbal communication skills and ability influence cross-functional teams

• Familiarity with scripting/programming for data mining and modeling

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

Additional Information

• Healthcare coverage
• Retirement Plans
• Employee Stock Purchase Program
• Wellness perks
• Paid parental leave
• Paid time off
• Learning and Development resources