Product Analyst, Weebly

  • Full-time

Company Description

We believe everyone should be able to participate and thrive in the economy. So we’re building tools that make commerce easier and more accessible to all. We started with a little white credit card reader but haven’t stopped there. Our new reader helps our sellers accept chip cards and NFC payments, and our Cash app lets people pay each other back instantly. We’re empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. Let’s shorten the distance between having an idea and making a living from it. We’re here to help sellers of all sizes start, run, and grow their business—and helping them grow their business is good business for everyone.

Job Description

Within Square, Weebly's mission is to give our users online tools to grow their business.  This role will focus on the heart of our product: the way our users build their website. We have a rich behavioral dataset for our 40M+ users and need you to dive deeply into the journey of the customer through our product; including customer engagement, interpreting customer behavior, analyzing A/B tests, and understanding business trends.

This role also involves explaining the relevance of insights to non-technical business partners in a way that is actionable and comprehensible to them. The ideal candidate understands and loves seeing the impact of their work translate into product changes and improvements - from giving our customers a better experience at weebly.com to giving their Weebly site visitors a great experience.

Key areas of focus include:

  • Partnering closely with Product, Growth, and other teams across the organization to identify impactful business problems and translate them into analyses and actionable insights

  • Using exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets

  • Performing analytical deep-dives to analyze problems and growth opportunities by researching, building models, and suggesting experiments based on data insights

  • Extracting insights that drive product changes through analyzing large, complex, multi-dimensional customer behavior data sets

  • Providing statistical and modeling guidance, adding statistical rigor and know how on A/B testing across the company

You will:

  • Develop insights into complex questions through cutting edge, creative analyses

  • Understand the product, partnering with Product Managers on data-driven decisions

  • Join data from structured and unstructured data sources to get at the big picture

  • Communicate analysis and test results to stakeholders in a clear, concise manner

  • Independently own projects with the Product team, setting timelines and expectations

  • Initiate and drive data projects, writing clear requirements for Data Eng and BI team

  • Analyze A/B tests with a strong understanding of the end to end testing process

  • Report on KPIs over time, driving impact and improvement in the business

Qualifications

You have:

  • 3+ years of experience in a highly analytical or quantitative function, preferably in consulting, finance, or technology

  • Hands on experience with A/B testing, tools, and mathematical techniques with a strong understanding of data driven decision-making

  • Bachelor’s Degree or equivalent in Math, Statistics, Economics, Computer Science, Business or related field(s)

  • Strong mathematical background, understanding of experimental design, experience with a variety of analytical methods, and technical implementation of analyses

  • Expertise and extensive hand-on experience with SQL and Excel

  • Sharp business judgment and true conceptual clarity to separate signals from noise to summarize and present actionable insights

  • Experience with Looker or other analytics and visualization tools

  • Strong verbal and written communication skills

You’ll earn bonus points if you:

  • Have experience with Python, R, Scala, or other statistical scripting languages

  • Have a good understanding of database architecture and data warehouse infrastructure

     

 

 

Additional Information

At Square, our purpose is to empower – within and outside of our walls. In order to build the best tools for the businesses and customers we support all over the world, we have to start at home with a workforce as diverse and empowered as our sellers. To this end, we take great care to evaluate all employees and job applicants equally, based on merit, competence, and qualifications. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage candidates from all backgrounds to apply and always consider qualified applicants with arrest and conviction records, in accordance with the San Francisco Fair Chance Ordinance. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible.

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