Manager of wayfair.co.uk Business Trends

AMEX
London
4 weeks ago
Applications closed

Related Jobs

View all jobs

Research Manager (Quantitative)

Product Manager – Smart Diagnostics & Digitalization

IT Project Manager

Senior Project Manager / Programme Manager

Consumer Data Manager

BI Manager/ Platforms Engineering Manager

Who We Are

The Business Trends team collaborates with Wayfair's executive leadership and all business functions to identify, monitor, and address metric trends that drive Revenue and long-term Customer Lifetime Value (CLV). The team analyzes trends and develops a narrative on Wayfair's absolute and relative performance compared to competitors, both in the short-term and long-term. This allows Wayfair's senior leaders to quickly understand performance drivers, triage issues in real-time, and identify areas where plans need to be refined. Business Trends adds value by: 1) driving long-term CLV by unifying the organization around Wayfair's customer value proposition, tracking related input metrics, and driving interventions if customers are not reacting to improvements or if deviations from normal trends are observed; and 2) influencing partner teams to devote resources to areas of the business that need improvement in order to advance overall business performance and share taking.

The team is searching for a Manager to lead Trends for wayfair.co.uk, working directly with commercial leaders in the London office. The leader will be responsible for diagnosing overall business performance and building the narrative. In this role, you will partner closely with UK commercial leadership, including the UK GM, as well as with the wider Business Trends STO, including our Data Engineering team, to further develop self-service reporting.

 

What You'll Do

  • Analyse and present weekly performance insights for Wayfair.co.uk, and collaborate with partner teams to develop weekly steering decks.
  • Identify and analyse connections between Wayfair.com and Wayfair.co.uk trends, highlighting key similarities and differences.
  • Contribute to the Business Trends semi-annual roadmap.
  • Build and manage trackers using Google's Looker connected sheets to monitor trends for Business Trends and cross-functional partners.
  • Conduct cross-store investigations spanning Wayfair.com Business-to-Consumer (B2C), B2B, and Wayfair.co.uk. These can include macroeconomic pattern analysis, category/class trends, impact of policies, or experience issues.
  • Collaborate with peers and the Head of Business Trends to develop the monthly Trends Council narrative.
  • Partner with Business Trends Data Engineering to define additional needs for metrics & dimensions in the Business Trends Curated Data Layer.
  • Work with stakeholders to validate data insights and build hypotheses for potential interventions in response to trend deviations.

 

What You'll Need

  • 4+ years of work experience in analytical, consulting, technology, start-up, or strategy roles.
  • Bachelor’s degree from a top-tier institution with a strong academic record in economics, math, statistics, engineering, business, or a related field.
  • Strong analytical skills – ability to develop analytical hypotheses and assumptions, use data software to conduct analyses, and synthesize findings.
  • Strong communication skills – ability to succinctly summarize findings, create a compelling narrative, and share/align messaging with stakeholders.
  • Strong business acumen – ability to understand how various parts of the business interact and how macro and competitive dynamics influence these.
  • Ability to learn and act quickly, make decisions, and draw conclusions in the face of ambiguity.
  • Advanced Excel/Google Sheets skills.
  • Intellectually curious, high energy, with a strong work ethic and a desire to work in a fast-paced, high-stakes team environment.
  • Experience with SQL or Google BigQuery is a plus. 

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 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, genetic information, or any other legally protected characteristic.

Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at .

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.