Manager, Consumer Sales Advanced Analytics

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Wayfair is seeking a solutions-oriented technical leader to join the B2C Sales Strategy Analysis and Data Insights team. This team provides thought leadership and analytical rigor needed to drive our rapidly evolving B2C sales channel. Wayfair’s B2C sales team consists of product experts and sales agents who help customers purchase complex, design-heavy, or technically sophisticated products. The Strategy Analysis and Data Insights team is responsible for leveraging statistical frameworks and analyzing customer behavior and operational performance to provide visibility, test and optimize strategic business initiatives. The team is highly cross-functional and works closely with Product Management, Engineering, Data Science, Field operation, Marketing and Storefront to grow the B2C sales channel.

About the role:

In this highly technical role, you will be leading A/B Testing and LTV measurement work for B2C Sales org. This is an ideal opportunity for a high-performing individual contributor passionate about deepening their technical expertise, driving impact on the business’s bottom line, and growing their career up the technical career ladder. The successful candidate will have excellent technical and analytical skills as well as the ability to present their data driven recommendations in a clear, concise, and persuasive manner. 

What You'll Do: 

  • Explore and leverage data-science models and productionalize frameworks at scale
  • Lead analytics efforts for A/B testing of new product initiatives; Establish testing best practices to understand impact of B2C sales initiatives 
  • Solve difficult, non-routine analysis problems with deep customer focus, applying advanced analytical methods as needed
  • Build a strong understanding of B2C sales operations and KPIs that impact overall business performance such as call efficiency, conversion rates etc.
  • Drive decision-making in a cross-functional setup with data science, product, BI and operation team
  • Work with several large and complex databases and wrangle data from multiple sources including sales, product, and customer databases to create visualizations and derive insights used for decision-making
  • Collaborate with Data Science, Infrastructure, and other Analytics teams using tools such as Looker and SQL to deliver real-time performance data to the business leadership team
  • Collaborate cross-functionally to formulate hypothesis, develop statistical models and socialize recommendations that address strategic and operational challenges 
  • Synthesize insights from data analysis and present business cases to senior leadership

What You'll Need:

  • Bachelor’s degree in an analytical discipline such as: Mathematics, Engineering, Statistics, Actuarial Science, Economics, Business or Finance
  • Post-graduate work in related field preferred
  • Prior consulting experience is a plus
  • Excellent communication and collaboration skills with cross-functional team
  • Experience designing and implementing highly visible, complex, and innovative analytical solutions that drive business decision making
  • 5+ years relevant analytical experience in operating with large data sets,extracting insights and presenting recommendations to stakeholders and senior leadership 
  • Hands on experience in developing advanced analytics and statistical models including clustering, classification, mix modeling, predictive response modeling, experimental design, optimization techniques, NLP, speech analytics and text mining
  • Fluency in SQL, Python/R
  • Experience with visualization tools (e.g., Looker, Data Studio)
  • Strong business acumen, analytical skills and technical abilities along with problem solving skills
  • Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Strong written and verbal communication.
  • Entrepreneurial spirit or prior experience in a high performance, fast-paced industry
  • Familiarity with general software development principles and machine learning model development life cycle. 
  • Proven ability to deliver analytic solutions in business-setting with agile-style prototyping and rapid turnarounds

About Wayfair Inc.

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.

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.