Business Intelligence/Data Analyst, Customer Success

4 weeks ago

Oakland, United States Block Full time

Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together.
So we expanded into software and started building integrated, omnichannel solutions - to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes - large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
Square is looking for a Business Intelligence Analyst to join the 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 drive 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 analytics
  • Utilize a variety of strategies, including statistical analysis and quantitative reasoning, to address challenges, conduct research, and generate actionable insights
  • Independently manage, coordinate, and resolve intricate problems through data-driven analysis
  • Work closely with business partners and infrastructure teams to align on, define, and implement success measures for ongoing and new programs
  • Create robust and clear reporting resources for ongoing monitoring of program health
  • Communicate analysis and decisions to high-level partners and executives in verbal, visual, and written media
  • Provide 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 impactful
  • Contribute in strategic analytical projects that provide relevant insights or promote operational change
  • Perform ad hoc analyses of business performance trends to inform executive decisions and provide ad hoc reporting in Looker
  • Analyze trends and data to predict future product demand and customer needs, ensuring optimal resource allocation and inventory management to support business growth and operational efficiency.


Qualifications

  • 3+ 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 strongly preferred
  • Advanced to expert level SQL proficiency and have familiarity with concepts beyond querying (schema and ETL design, and query optimization)
  • Strong forecasting skills
  • 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


Qualifications

  • 3+ 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 strongly preferred
  • Advanced to expert level SQL proficiency and have familiarity with concepts beyond querying (schema and ETL design, and query optimization)
  • Strong forecasting skills
  • 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

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