Afterpay
Business Intelligence/Data Analyst, Customer Success
Afterpay, San Francisco, California, United States, 94199
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 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 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.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
You Have:5 years of analytical experience in consulting, data analytics, data science, or machine learning and predictive analytics.Bachelor's degree, with a major in analytics, statistics, finance, or data science field, or equivalent practical experience.Advanced to expert level SQL proficiency.Experience with reporting and visualization platforms (e.g. Tableau, Looker).Work experience with Python.Familiarity 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.Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic 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 $135,200 - USD $202,800Zone B: USD $125,800 - USD $188,600Zone C: USD $119,000 - USD $178,400Zone D: USD $108,200 - USD $162,200To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.Full-time employee benefits include the following: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, 1:1 financial planners, and a monthly wellness allowance.Paid parental and caregiving leave.Paid time off (including 12 paid holidays).Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees).Learning and Development resources.Paid Life insurance, AD&D, and disability benefits.These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
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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 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 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.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
You Have:5 years of analytical experience in consulting, data analytics, data science, or machine learning and predictive analytics.Bachelor's degree, with a major in analytics, statistics, finance, or data science field, or equivalent practical experience.Advanced to expert level SQL proficiency.Experience with reporting and visualization platforms (e.g. Tableau, Looker).Work experience with Python.Familiarity 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.Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic 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 $135,200 - USD $202,800Zone B: USD $125,800 - USD $188,600Zone C: USD $119,000 - USD $178,400Zone D: USD $108,200 - USD $162,200To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.Full-time employee benefits include the following: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, 1:1 financial planners, and a monthly wellness allowance.Paid parental and caregiving leave.Paid time off (including 12 paid holidays).Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees).Learning and Development resources.Paid Life insurance, AD&D, and disability benefits.These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
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