The Product Analytics team focuses on understanding and optimizing user interactions with our Operational Engineering tools and technologies. Product Analytics is responsible for integrating analytics into the DNA of these growing tech teams, unlocking the insights that will guide the business in our quest for cost efficient, perfect orders, at scale. We bring a multidisciplinary blend of analytical experience, strong technical capability, business strategy and stakeholder management. Moreover, we’re a highly collaborative, supportive team that values learning, psychological safety and intentional career development.

 

What You'll Do

 

• Own the analyses and insights that inform the Post Order technology roadmap.
• Collaborate with all facets of the organization including product management, engineering, and creative design to identify the most impactful ways for data and analytics to drive decision making.
• Become the subject matter expert for data, analytics, and testing for your area to ensure accurate and proper interpretation of core metrics and user behavior.
• Perform deep-dive analysis, including the application of advanced analytical techniques, to solve some of the more critical and complex business problems.
• Develop data visualizations, including reports, dashboards, and analyses in Looker and GBQ to distribute data insights in an easily digestible manner.

 

What You'll Need

 

• Proficient knowledge of SQL and statistical programming language(s) such as Python, R, SAS, or SPSS.
• Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred.
• 6+ years work experience in relevant field
• Expert at conducting quantitative analyses on large and complex data sets, including ability to explain techniques to stakeholders.
• Experience with experimental test design (e.g., A/B testing; Multivariate and Multi-Armed Bandit) and statistical analysis to drive business decision making.
• Experience with data visualisation software (e.g. Google Data Studio, Tableau, PowerBI); experience with Looker a plus.
• Experience applying data science techniques and partnering with business teams on agile model development.
• Strong written and verbal communication skills covering objectives, status, results, and recommendations.

Assistance for Individuals with Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

Need Assistance?

For more information about applying for a career at Wayfair, visit our FAQ page here. 

About Wayfair Inc.Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

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