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Wayfair Sr. Manager, Operational Engineering Product Analytics in Boston, Massachusetts

<p><span style="font-weight: 400;">Product Analytics is a new team focused 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.</span></p>

<p><span style="font-weight: 400;">Within the broader Operational Engineering org, the Wayfair Delivery Network (WDN) is our global proprietary network that strives to delight our customers by delivering and safely handling not just small items, but big, bulky, damage prone products. The WDN is a game-changer in this space, handling the high value, high complexity deliveries that others can’t, and is currently at a critical inflection point where we are establishing the data infrastructure and technologies that will support the next phase of explosive growth. As a Senior Manager in the WDN Product Analytics team, your goal is to unlock insights that enable our tech team and cross functional partners to deliver a world-class experience to our customers and field associates so that everyone can live in a home they love.</span></p>

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


<li style="font-weight: 400;"><span style="font-weight: 400;">Design and execute an analytics plan that informs the broader WDN roadmap</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Conduct advanced analyses of user and product behavior (ad hoc investigations, experimentation, modelling, etc) that drive network reliability and delivery experience</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Establish and maintain tracking of key metrics for the WDN, identifying trends/changes and driving improvement</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Collaborate with engineering, data solutions, and other tech teams to define and develop the data architecture roadmap for future state systems</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Be a thought partner for product and ops leads, communicating key insights and recommendations while incorporating analytics into decision making processes</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Hire, manage, and develop a team of analysts, including coaching, onboarding, and training</span></li>


<p><strong>What You'll Need</strong></p>


<li style="font-weight: 400;"><span style="font-weight: 400;">Experience designing and implementing highly visible, complex, and innovative analytical solutions that drive business decision making</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience with visualization tools (e.g., Looker, Data Studio) or BI software (SSAS, Microstrategy, Cognos). Experience in working with large and complex SQL databases, experience with GBQ is a plus.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience with SQL (incl. Aggregate functions, joins, etc.) or structured computer programming language(s) (e.g. Python, Java, R, SAS).</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Strong business acumen, analytical skills and technical abilities along with problem solving skills</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Strong written and verbal communication.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience in mentoring and developing a team of analysts</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Bachelors in computer science, engineering, economics, statistics, MIS, or other quantitative discipline, Masters preferred, or 7+ years experience leading an analytics team</span></li>


<p>&nbsp;</p><div class="content-conclusion"><p><strong>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, or genetic information.</p></div>