Senior Business Analyst, Retail Tech & Analytics Europe
Senior Business Analyst, Retail Tech & Analytics Europe

Senior Business Analyst, Retail Tech & Analytics Europe

London Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse data to support Category Management and drive business decisions.
  • Company: Wayfair is a leading online home retail destination, innovating shopping experiences.
  • Benefits: Enjoy a hybrid work model, rapid growth opportunities, and a vibrant company culture.
  • Why this job: Join a dynamic team, work with big data, and make a real impact in e-commerce.
  • Qualifications: Strong analytical skills, communication abilities, and familiarity with data software are essential.
  • Other info: Open to diverse candidates; we celebrate unique perspectives and promote inclusivity.

The predicted salary is between 43200 - 72000 £ per year.

Social network you want to login/join with: Senior Business Analyst, Retail Tech & Analytics Europe, London Location: London, United Kingdom Job Category: Other EU work permit required: Yes Job Reference: 32a1f2c5aa25 Job Views: 32 Posted: 24.03.2025 Expiry Date: 08.05.2025 Job Description: Hybrid Role (4 days in the office & 1 day working from home) Who We Are Wayfair is reinventing the way people shop for their homes and our team is tasked with building a best-in-class Home retail business across the UK and German markets. In the EU Retail Tech & Analytics team, you will enable Category Management to grow their business through data-driven analytics, scalable tooling solutions, and streamlined processes. This is an ideal opportunity for candidates who are interested in entering the technology and e-commerce space, developing hands-on analytical and technical skills, and working closely with core business functions to drive real impact and results. With your highly analytical mindset, you will provide strategic direction and guidance to Category Management and strengthen their ability to take the right decisions. You’ll play a key role in building cutting-edge ‘Big Data’ and leveraging these unique, proprietary, and massive datasets, coupled with a constant flow of experimentation on consumer response, to answer thorny questions that guide our go-to-market strategy. By identifying opportunities to grow our business, you’ll make sure that we have the right data to drive performance across various Wayfair’s Recipe items, from competitive pricing to operational excellence up to having the right selection & assortment. Being a part of EU Retail Tech & Analytics means you enjoy setting and driving a vision and operating analytically to get results, whilst keeping a hard focus on execution of high-impact tasks for your team and yourself. Strong communication is critical for success in the team given the interaction with various cross-functional stakeholders to ensure alignment is tight and priorities are agreed upon. What You’ll Do Ensure Category Management has the right data to drive decisions Own, build and maintain the frontend (dashboards) and backend (data structure and architecture) of tools Apply business acumen to provide opportunities for Category Management through data-driven analyses Conduct competitive and product category evaluation to assess market trends Drive relationships and collaboration with cross-functional teams What You’ll Need Strong communication skills: ability to work effectively and persuasively with a highly cross-functional group of business partners Strong business acumen: ability to understand how various parts of the business interact; can identify and approach problems from a customer or supplier perspective Exceptional analytical and quantitative skills: excited about working with and synthesizing big data into actionable insights; comfortable using data software to conduct analyses and synthesize findings Exceptional problem-solving and execution skills: ability to make decisions, reprioritize tasks, and draw conclusions in the face of ambiguity Excellent written and verbal communication skills in English Proficiency in data analytics and working with large data sets; excitement about finding patterns in data Familiarity with any programming language is a plus, including motivation to learn and develop the skill set (Google BigQuery/SQL, R, Python) 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, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice. If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us. #J-18808-Ljbffr

Senior Business Analyst, Retail Tech & Analytics Europe employer: TN United Kingdom

Wayfair is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration thrive. With a hybrid work model and a strong focus on employee growth, you will have the opportunity to develop your analytical skills while making a tangible impact in the rapidly evolving e-commerce landscape. Located in London, our team is dedicated to leveraging cutting-edge technology and big data to drive strategic decisions, ensuring that every employee's voice is valued and contributes to our collective success.
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Contact Detail:

TN United Kingdom Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Business Analyst, Retail Tech & Analytics Europe

✨Tip Number 1

Familiarise yourself with the latest trends in retail technology and analytics. Understanding how data-driven decisions are made in the e-commerce space will help you speak confidently about your insights during interviews.

✨Tip Number 2

Network with professionals in the retail tech industry, especially those who work at Wayfair or similar companies. Engaging in conversations can provide you with insider knowledge and potentially lead to referrals.

✨Tip Number 3

Brush up on your data analytics skills, particularly in tools like Google BigQuery, SQL, R, or Python. Being able to demonstrate your technical proficiency will set you apart from other candidates.

✨Tip Number 4

Prepare to discuss specific examples of how you've used data to drive business decisions in your previous roles. Highlighting your analytical mindset and problem-solving abilities will resonate well with the hiring team.

We think you need these skills to ace Senior Business Analyst, Retail Tech & Analytics Europe

Strong Communication Skills
Business Acumen
Analytical Skills
Quantitative Skills
Data Analytics Proficiency
Problem-Solving Skills
Execution Skills
Experience with Big Data
Familiarity with Programming Languages (e.g., SQL, R, Python)
Dashboard Development
Data Structure and Architecture Knowledge
Cross-Functional Collaboration
Market Trend Analysis
Ability to Synthesize Findings

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your analytical skills, business acumen, and any experience with data analytics tools or programming languages.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to drive data-driven decisions and collaborate with cross-functional teams.

Showcase Your Analytical Skills: Provide examples of how you've used data to solve problems or improve processes in previous roles. Highlight any experience with big data, data visualisation tools, or programming languages like SQL or Python.

Prepare for Potential Interviews: Anticipate questions related to your analytical mindset and problem-solving abilities. Be ready to discuss how you would approach data-driven decision-making and provide insights based on market trends.

How to prepare for a job interview at TN United Kingdom

✨Showcase Your Analytical Skills

As a Senior Business Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've used data to drive decisions in previous roles. Highlight any tools or software you are proficient in, such as SQL or Python.

✨Demonstrate Strong Communication

Given the cross-functional nature of the role, it's essential to showcase your communication skills. Prepare to explain complex data insights in simple terms and discuss how you've successfully collaborated with different teams in the past.

✨Understand the Business Context

Familiarise yourself with Wayfair's business model and the retail tech landscape. Be ready to discuss how your analytical insights can directly impact category management and overall business performance.

✨Prepare for Problem-Solving Scenarios

Expect to face hypothetical scenarios during the interview that test your problem-solving abilities. Practice articulating your thought process clearly and logically, demonstrating how you approach ambiguity and make data-driven decisions.

Senior Business Analyst, Retail Tech & Analytics Europe
TN United Kingdom
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