Associate Director, Web Analytics

Wayfair Analytics is the engine that powers an enterprise obsessed with data. The Wayfair website generates over 100M clicks from the millions of customers that visit our sites every day to discover and purchase home goods. The Web Analytics team is focused on understanding and optimizing customer behavior as a key enabler for the company to move fast and iterate quickly on big business problems.

The mission of the Director of Web Analytics is to unlock insights and guide the business – everything from tactical site optimizations to broad level strategic direction that is grounded in data evidence and heavy analytical rigor. This requires a multidisciplinary blend of analytical experience, strong technical capability, and business strategy, all applied in tandem to discover key insights that lie hidden in Wayfair’s web data.

The Director of Web Analytics is a highly visible and strategic position that is responsible for multiple business areas and directly lead a team of managers and analysts with analytic agendas to understand customer behavior and test and optimize features across our customer facing sites. This is an ideal opportunity for analytics leader seeking to simultaneously make an impact to the customer experience and bottom line. The ideal candidate will have a combination of leadership skills to develop and grow a high-performing team as well as the technical curiosity to push the development of our web analytics and models. The Director would join Wayfair’s Leadership team, leading a team of 20+ top notch analytics professionals and would work cross-functionally with  executives across all facets of the organization including product management, engineering, creative design, marketing and data science.

What You’ll Do:

  • Influence executive management (C-suite) to define and execute analytics and site testing roadmap to support key business initiatives
  • Own and develop the strategic analytic agenda across multiple lines of business to unlock insights and guide the business – everything from identifying, testing and optimizing new features to broad level strategic direction that is grounded in data evidence and heavy analytical rigor.
  • Lead multiple teams responsible for monitoring customer behavior on our websites to identify and resolve issues, executing the strategic testing, web analytics and insights agenda.
  • Proactively identify areas where analytical efforts can produce a strong business value add and setting the analytics roadmap.
  • Create organizational designs to optimally serve multiple stakeholder groups and business units.
  • Provide leadership to corporate initiatives which requires the ability to work with executives and being a thought partner with cross functional leadership team.
  • Communicate key insights and recommendations to cross-functional executive leaders across the organization
  • Hire, manage and mentor leaders and leaders of leaders.  
  • Work with the Data Engineering leadership to define the business requirements for infrastructure needs.
  • Prioritize resources and hiring across multiple area and balancing short-term needs with longer-term initiatives.

What You Have:

  • Demonstrated success working with executives at the most senior level on setting analytic direction and recommendations to direct business strategy and achieve high impact results.
  • Excellent communication and data presentation skills covering objectives, plans, status, roadblocks, and results
  • Experience managing teams and cross-functional stakeholders
  • Prior experience proactively identifying areas where analytical efforts can produce a strong business value add and setting the analytics roadmap.
  • Proven ability to manage, guide and grow analytic leaders
  • Experience designing and implementing highly visible, and innovative analytical organizations
  • Strong business acumen, analytical skills and technical abilities along with problem solving skills.
  • Experience with experimental design and/or statistical analysis to drive business decision making
  • Past experience with SQL or structured computer programming language.
  • Bachelors in computer science, engineering, economics, MIS, or other quantitative discipline; Masters preferred.

What We'd Love To See (but isn't required):

  • Experience with Tableau, Python, R, SAS or BI software (SSAS, Microstrategy, Cognos)  a plus.

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