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For Companies At a Glance
- Tasks: Analyse data to drive insights and improve customer experiences.
- Company: Wayfair is a leading online home goods retailer, innovating how people shop for their homes.
- Benefits: Enjoy a dynamic work environment with opportunities for rapid growth and learning.
- Why this job: Join a diverse team that values innovation and collaboration in a fast-paced setting.
- Qualifications: Bachelor’s degree in a quantitative field; experience with data analysis tools required.
- Other info: Wayfair promotes an inclusive culture and is an equal opportunity employer.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for an analytical, action-oriented, and collaborative individual that can translate business problems to actionable insights and data driven solutions to influence customer & supplier experience. Successful individuals in this role excel at both qualitative and quantitative analysis while also being eager to communicate upward and outward to tell a concise story.
What You'll Do
- Own end-to-end analyses, from Google Bigquery to action-driving reporting (e.g. Looker/Data Studio)
- Drive relationships and collaboration with cross-functional teams (e.g. Product and Engineering)
- Contribute to the development of tools and processes to make our team more efficient
- Manage multiple priorities in a fast-paced environment with effective communication and thorough follow through
- Drive impactful results on key projects such as Search, accuracy of product data, filters
What You'll Need
- Bachelor’s degree in a quantitative field
- Experience in writing complex database queries (ideally Google Bigquery), and using data visualization tools such as Gsheets/Excel, Data Studio, Looker, Tableau or PowerBI
- Knowledge in writing code (Python, R) and/or experience using GenAI tools is a plus
- Excellent communication, both written and verbally
- Team-first attitude with enthusiasm for cross-functional collaboration
- An entrepreneurial spirit and mindset
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.
Merchandising Analyst employer: Wayfair
Contact Detail:
Wayfair Recruiting Team
dataprotectionofficer@wayfair.com
StudySmarter Expert Advice 🤫
We think this is how you could land Merchandising Analyst
✨Tip Number 1
Familiarise yourself with Google Bigquery and data visualisation tools like Looker or Data Studio. Being able to demonstrate your proficiency in these tools during discussions can set you apart from other candidates.
✨Tip Number 2
Network with current or former Wayfair employees on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data to drive decisions in past roles. This will showcase your analytical skills and ability to translate data into actionable insights.
✨Tip Number 4
Highlight your collaborative experiences in previous roles. Wayfair values cross-functional teamwork, so sharing stories about successful collaborations can demonstrate that you're a team player.
We think you need these skills to ace Merchandising Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis and data visualisation tools. Mention any specific projects where you've used Google Bigquery or similar tools, as this will resonate with Wayfair's requirements.
Craft a Compelling Cover Letter: In your cover letter, emphasise your analytical skills and collaborative spirit. Share examples of how you've successfully communicated insights to stakeholders and driven results in previous roles.
Showcase Technical Skills: Clearly outline your technical skills, especially in writing complex database queries and using data visualisation tools. If you have experience with Python or GenAI tools, make sure to include that as well.
Demonstrate Cultural Fit: Wayfair values diversity and collaboration. In your application, mention how your unique perspective and team-first attitude can contribute to their innovative culture. This will help you stand out as a candidate who aligns with their values.
How to prepare for a job interview at Wayfair
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis to solve business problems. Be ready to explain your thought process and the tools you used, especially if they relate to Google Bigquery or data visualisation tools.
✨Communicate Effectively
Since communication is key in this role, practice articulating your ideas clearly and concisely. Think about how you can tell a compelling story with data, and be prepared to answer questions about your findings.
✨Demonstrate Collaboration
Wayfair values teamwork, so be ready to share experiences where you've successfully collaborated with cross-functional teams. Highlight your team-first attitude and any entrepreneurial initiatives you've taken.
✨Prepare for Technical Questions
Brush up on your technical skills, particularly in writing complex database queries and coding in Python or R. You might be asked to solve a problem on the spot, so practice coding challenges beforehand.
