Lead Analyst, Fintech & Loyalty Fraud Analytics

Wayfair Analytics is the engine that powers an enterprise obsessed with data. The Wayfair websites generate over 100M clicks from the millions of customers that visit our sites every day to discover and purchase home goods. The Fintech & Loyalty Analytics team is focused on understanding and optimizing customer behaviors related to Financing, Loyalty, Payments, and Fraud products (collectively called Fintech & Loyalty).

At their core, the Fintech & Loyalty Analytics team at Wayfair are strong in quantitative analysis, enjoy coding but also want to balance that with their interest in business and applying advanced modeling techniques. They think critically to tackle complex challenges, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. There are significant opportunities for new team members to emerge as leaders, taking on additional projects and responsibilities with strong performance.

What You'll Do

• Own and develop the strategic analytic agenda to unlock insights and guide the business.
• Work closely with all facets of the organization including general management, product management, engineering, and creative design to leverage data and analytics to drive decision making and accelerate profitable growth.
• Leverage your modeling skills and apply data science techniques to solve ambiguous problems.
• Bring your expertise in A/B testing to identify, design, execute, and analyze tests leveraging bayesian or frequentist methodologies to make high-impact changes to the customer site and app experiences.
• Communicate key insights and recommendations to cross-functional executive leaders across the organization.
• Be the go-to technical and analytical expert for junior analysts on the team.
• Provide leadership on corporate initiatives which requires the ability to work with executives and be a thought partner with the cross functional leadership team.

What You'll Need

• Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred.
• 4+ years work experience in quantitative analytics, testing and/or predictive modeling.  Experience in Fraud Analytics is a plus.
• Experience proactively identifying areas where analytical efforts can add strong business value and setting the analytics roadmap.
• Expert at experimental test design including A/B testing; experience with multivariate and multi-armed bandit also preferred.
• Experience applying data science techniques such as classification and feature modeling; and partnering with business teams on agile model development.
• Proficient knowledge of a statistical programming language such as Python or R.
• Experience working with large data sets and visualization software. Experience in GBQ, Looker a plus.
• Demonstrated success in communicating with and influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis.

Assistance for Individuals with Disabilities
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please contact candidateaccommodations@wayfair.com.
 
Need Technical Assistance?
If you are having any technical difficulty submitting your application, please reach out to our careers team at careers@wayfair.com.
 
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 –