Who We Are:

The Merchandising department onboards and maintains Wayfair's vast product catalog, developing strategies to effectively guide our customers through this large selection and help them find exactly what they need. We are looking for an analytical, disciplined, and execution-oriented senior analyst for our Merchandising Analytics team. Our goal is to surface data and analytics insights to drive business and product strategy that make it easier for customers to have a best-in-industry experience on-site, and for suppliers to easily and intuitively launch and maintain their products with Wayfair. In pursuit of these goals, the Merch Analytics team serves as a central counterpart for business teams and develops analytics products, on both a stand-alone basis as well as jointly with build partners in Product and Data Engineering.

The ideal candidate will have structured thinking, be action oriented, and exhibit the technical aptitude to develop new analytics products for the business. This is a unique opportunity to work with Wayfair's huge datasets and modern tech stack in close collaboration with an industry-leading team of data engineers, product managers, and merchandising specialists on complex and highly visible projects.

What You’ll Do:

• Translate complex business problems into specific questions that can be answered through data-driven analysis.
• Develop solid working relationships with business partners and a deep understanding of their key business metrics, levers, strategy and goals. 
• Work closely with business leadership to identify requirements and obtain buy-in for methodology. 
• Partner with Product/Engineering teams to architect, develop, and integrate data/reporting solutions into daily operations for internal Wayfair users and suppliers.
• Implement and enhance data ingestion and/or pipeline processes to facilitate data integration into business tools and workflows.
• Communicate findings with a clear point of view and compelling visualizations so your insights can be used to help drive business strategy and technology projects.

What You’ll Need:

• Bachelor's degree, preferably in a quantitative discipline (computer science, engineering, math, statistics, economics)
• Graduate degree in a quantitative or technical area preferred (Business Analytics, Applied Statistics, Economics, etc.)
• 2+ years of experience in a quantitative or technical work environment OR completed Masters degree in a quantitative or technical area
• Proven track record of taking ownership, driving results and thriving in a fast-paced environment 
• Strong technical aptitude and business acumen with demonstrated experience leveraging data from a multitude of sources to solve complex problems
• Excellent communication and data presentation skills with demonstrated ability to be a proactive collaborator with stakeholders/partners
• In-depth experience with SQL or a structured programming language (aggregate functions, query optimization, stored procedures, string parsing, etc.), required
• Experience with analytical and modeling tools (Python, R, Stata, etc.), reporting technologies (Google Data Studio, Looker, Tableau. etc.), and/or product analytics platforms (Google Analytics)  highly preferred