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Company Description
Since our establishment in 2009, the commercial landscape has significantly transformed, as has Square. We empowered anyone to process payments and never miss a sale, however, we observed vendors struggling with scattered and antiquated products and tools that couldn't function in harmony.
Hence, we delved into software and began crafting integrated, omnichannel solutions to aid sellers in selling online, managing inventory, offering 'buy now, pay later' options through Afterpay, booking appointments, engaging loyal customers, and hiring and paying staff. We have incorporated financial services tools at point of sale, thus allowing merchants to obtain a business loan and manage their cash flow in one stop. Afterpay extends our aim to provide omnichannel tools that generate substantial value and growth, enabling sellers to captivate the next-gen shopper, increase order sizes, and compete on a larger scale.
Today, we serve sellers of all scales - large, enterprise-scale businesses with intricate operations, budding sellers, and merchants who started their journey with Square and have expanded over time. As our sellers grow, our solutions evolve too. There is a significant opportunity ahead of us. We are constructing a substantial, meaningful, and enduring enterprise, and we're assisting sellers globally in doing the same.
Job Description
We are seeking a Data Analyst to join the Seller Customer Success Operations team to assist in shaping the strategy by providing data insights about customer satisfaction, team morale, and operational efficiency. You will spearhead experimentation initiatives (including AB testing), devise automation solutions, conduct analysis and summarize insights from our extensive data, and influence strategic decisions based on data to enhance our organization's performance. You will collaborate with top leadership to undertake these projects, offering analytical power to high-priority tasks. You will report to the Manager of Data Analytics & Data Science.
Your responsibilities will include:
- Collaborating with stakeholders to make data-driven decisions throughout the organization using descriptive and predictive analytics for material impact
- Applying a diverse range of tactics including statistical methods and quantitative reasoning to solve problems and independently researching and producing actionable insights
- Owning, coordinating, and solving complex, cross-functional problems with data-driven analysis
- Communicating analysis and decisions to high-level stakeholders and executives in verbal, visual, and written form
- Providing extensive day-to-day analytics support to partner teams, developing tools and resources to facilitate data access and self-service so your expertise can be used where it is most impactful.
- Leading strategic analytical projects that provide relevant insights or promote operational change
- Performing ad hoc analyses of business performance trends to inform executive decisions and providing ad hoc reports in Looker. For instance, carrying out detailed analytics on significant topics such as drivers of call volumes by customer segment and the long-term effects of calling Customer Success
Qualifications
You possess:
- 2+ years of analytical experience in consulting, data analytics, data science, or machine learning and predictive analytics
- A Bachelor's degree, preferably in analytics, statistics, finance, or data science
- Advanced to expert-level SQL proficiency and familiarity with concepts beyond querying such as schema and ETL design and query optimization
- Potent forecasting skills
- Experience with reporting and visualization platforms like Tableau, Looker
- Work experience with Python
- Proven ability to lead data-driven cross-functional projects that depend on the contributions of others in various disciplines
- Fluency with statistical techniques to structure analyses and provide insights (e.g., statistical tests, AB testing)
- Familiarity with scripting/programming for data mining and modeling is a plus
- Experience in applying data-backed heuristics to solve practical product issues such as predicting churn, cross-selling, clustering user archetypes, and more is a plus
Additional Information
Block adopts a market-based approach to remuneration, and pay may vary depending on your location. U.S. locations are classified into one of four zones based on the cost of labor index for that geographical area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Zone A: USD $114,200 - USD $139,600
Zone B: USD $106,200 - USD $129,800
Zone C: USD $97,100 - USD $118,700
Zone D: USD $85,700 - USD $104,700
To find a location’s zone designation, please refer to this . If a location of interest is not listed, please speak with a recruiter for more information.
Full-time employee benefits include:
- Healthcare coverage (Medical, Vision and Dental insurance)
- Health Savings Account and Flexible Spending Account
- Retirement Plans including company match
- Employee Stock Purchase Program
- Wellness programs, including access to mental health, one-on-one financial planners, and a monthly wellness allowance
- Paid parental and caregiving leave
- Paid time off (including 12 paid holidays)
