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Wayfair Social Scientist, People Analytics in Boston, Massachusetts

<p><span style="font-weight: 400;">Wayfair’s success is directly tied to three key elements: Great People, Great Ideas, and Great Ambition. Wayfair’s People Analytics team focuses on just that: Wayfair’s Great People. As the company grows, Wayfair’s People Analytics team helps the company make thoughtful, data-driven decisions about its people. We collect, analyze, and share data to drive meaningful change in building the best team in home.&nbsp;</span></p>

<p><span style="font-weight: 400;">We’re seeking a social scientist to join our Employee Research workstream to help us illustrate a narrative with qualitative and quantitative data. In this role, you’ll help build and execute on the research roadmap necessary to drive our stakeholders to take action on talent data.&nbsp;</span></p>

<p><strong>What You’ll Do:&nbsp;</strong></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Build key stakeholder relationships - create awareness around the “possibilities” of what people analytics research can help our partners measure and achieve</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Partner closely with stakeholder teams on analytics to support major policy and programmatic decisions (e.g., future of remote work, performance review processes, DEI programs)</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Work to scale existing reporting methodologies (focus groups, survey development), minimizing analytical lift to maximize interaction with stakeholders and action planning</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Evaluate current employee listening strategy and create a roadmap for future enhancements</span></li>

</ul>

<p><strong>What You'll Need:&nbsp;</strong></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Bachelors, masters, or advanced degree in a quantitative or qualitative field (I/O psychology, organizational design, statistics)</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">4+ years of work experience, with a track record of delivering tangible results in a data-driven role</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Proficiency with at least one structured programming language (e.g., SQL, Python, R), experience with dashboarding tools (e.g., Data Studio, Tableau, Looker) a plus</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Strong communication skills, with the ability to build narratives using data</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">The integrity, maturity, and respect to handle sensitive employee data </span></li>

</ul><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>

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