<p><em>Please note that this is a hybrid role based in Boston, MA and will require you to work in the office on Tuesdays, Wednesdays, and Thursdays.</em></p>

<p>Wayfair is the leading online retailer for furniture &amp; decor and we rely on our suppliers to deliver on our core business proposition: delivering great products to our customers quickly and reliably. Our supplier-facing ecosystem enables our 18,000+ supplier-partners to deliver on that promise by providing them with all capabilities they need to successfully manage their e-commerce business. Our supplier-facing site is a critical enabler to Wayfair's growth. We work with 18K+ suppliers who use our tools daily to manage their products and inventory, order fulfillment, etc. to be successful on our platform.</p>

<p>The Global Supplier technology team is responsible for building the scalable platforms for the supplier ecosystem in Wayfair. It starts with establishment of supplier entities, their catalog journey, advertisement, pricing &amp; order management. This platform provides all necessary accelerants for supplier business growth like supplier ads, business insights &amp; recommendations. We build scalable platforms to meet the demands of customers and suppliers alike.</p>

<p>We are looking for advanced analytical, action-oriented, and collaborative individuals that can translate business problems to actionable insights and data driven solutions to influence operational results. Successful individuals in this role excel at both qualitative and quantitative analysis while also being eager to communicate upward and outward to tell a concise story.&nbsp;&nbsp;</p>

<p><strong>What You'll Do:</strong></p>

<ul>

<li>Own and develop the strategic analytic agenda to unlock insights and guide the business.</li>

<li>Collaborate with cross functional partners and ensure that there is strong alignment between Wayfair’s business objectives and our Data Science driven strategies.</li>

<li>Bring your expertise in A/B testing to identify, design, execute, and analyze tests leveraging Bayesian or frequentist methodologies to make high-impact changes to the customer site and app experiences.</li>

<li>Develop key metrics and reporting to measure how initiatives are improving Wayfair’s performance and enabling our team to easily identify trends, root causes and develop targeted action plans.</li>

<li>Leverage your modeling skills and apply data science techniques to solve ambiguous problems.</li>

<li>Build prototypes and dashboards to translate large data sets into driving insights and action</li>

</ul>

<p><strong>You Are A Match Because You Have:</strong></p>

<ul>

<li>Bachelor’s degree in Computer Science, Computer Engineering or equivalent combination of education and experience&nbsp;</li>

<li>3+ years work experience in quantitative analytics, testing and/or predictive modeling</li>

<li>Professional experience in writing code in structured programming languages (Python, R), writing scripts using GBQ or SQL, creating Pivot Tables and Vlookups in Google Sheets or Excel, and using data visualization tools such as Data Studio, Looker, Tableau or PowerBI.</li>

<li>Experience in leveraging A/B testing and other experimentation methodologies for effective product launch measurement.</li>

<li>Experience applying data science techniques such as classification, regression, and clustering; and partnering with business teams on agile model development.</li>

<li>Demonstrated success in communicating with and influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis.</li>

<li>Collaborative mindset that thrives as part of a team</li>

<li>A demonstrated ability to continuously learn new tools</li>

<li>High attention to detail and proven ability to manage multiple, competing priorities simultaneously</li>

<li>Ability to navigate an environment of continuous improvement working through ambiguity in an evolving organization&nbsp;</li>

</ul><div class="content-conclusion"><p><strong data-stringify-type="bold">About Wayfair Inc.</strong></p>

<p>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.</p>

<p>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.</p>

<p>Your personal data is processed in accordance with our Candidate Privacy Notice (<a class="c-link" href="https://www.wayfair.com/careers/privacy" target="blank" data-stringify-link="https://www.wayfair.com/careers/privacy" data-sk="tooltipparent">https://www.wayfair.com/careers/privacy</a>). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at&nbsp;<a class="c-link" href="mailto:dataprotectionofficer@wayfair.com" target="blank" data-stringify-link="mailto:dataprotectionofficer@wayfair.com" data-sk="tooltipparent">dataprotectionofficer@wayfair.com</a>.</p></div>