Business Intelligence/Data Analyst, Customer Success

Job DescriptionSquare is looking for a Business Intelligence 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, 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.You will:Partner with stakeholders throughout the organization to facilitate data-informed decision-making by leveraging analyticsUtilize a variety of strategies, including statistical analysis and quantitative reasoning, to address challenges, conduct research, and generate actionable insightsIndependently manage, coordinate, and resolve intricate problems through data-driven analysisCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaProvide comprehensive daily analytics support to partner teams, develop resources to empower data access and self-service so your expertise can be used where it is most impactfulContribute in strategic analytical projects that provide relevant insights or promote operational changePerform ad hoc analyses of business performance trends to inform executive decisions and provide ad hoc reporting in LookerAnalyze trends and data to predict future product demand and customer needs, ensuring optimal resource allocation and inventory management to support business growth and operational efficiencyQualificationsYou Have:3-5 years of analytical experience in consulting, data analytics, data science, or machine learning and predictive analyticsBachelor's degree, with a major in analytics, statistics, finance, or data science field, or equivalent practical experienceAdvanced to expert level SQL proficiencyExperience with reporting and visualization platforms (e.g. Tableau, Looker)Work experience with PythonFamiliarity with statistics techniques to structure analyses and provide insights (e.g. statistical tests, AB testing)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

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