Senior Business Analyst, Retail Tech & Analytics Europe

TN United Kingdom; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a Senior Business Analyst to join their Retail Tech & Analytics team in London. This hybrid role offers a unique opportunity to leverage big data to drive impactful decisions in the retail sector. You will collaborate with cross-functional teams to provide strategic insights and enhance Category Management's data-driven capabilities. If you're passionate about technology and e-commerce, and eager to develop your analytical skills, this position promises a dynamic work environment with ample growth opportunities. Join a community that values innovation and diverse perspectives, and contribute to shaping the future of retail.

Qualifications

• Strong analytical mindset with ability to synthesize big data into insights.
• Exceptional problem-solving skills and ability to work cross-functionally.

Responsibilities

• Ensure Category Management has the right data to drive decisions.
• Own and maintain the frontend and backend of data tools.

Skills

Strong communication skills

Business acumen

Analytical skills

Problem-solving skills

Written and verbal communication in English

Data analytics proficiency

Programming languages knowledge (SQL, R, Python)

Education

Degree in Business, Analytics, or related field

Tools

Google BigQuery

SQL

Data visualization tools

Job description

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.