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- Tasks: Analyse customer data to drive insights and strategies for a fast-growing fashion brand.
- Company: Join a dynamic fashion brand expanding globally, focused on understanding customer needs.
- Benefits: Enjoy a hybrid work model with flexible days at home and in the office.
- Why this job: Be part of a vibrant team that values data-driven decisions and customer insights.
- Qualifications: Experience in customer analytics or marketing, with strong Excel and SQL skills required.
- Other info: Located near White City/North Acton, this role offers a chance to shape business performance.
The predicted salary is between 28800 - 48000 £ per year.
An amazing and fast moving Fashion Brand are expanding their reach in the UK, US, Germany, and beyond — and they need help to understand customers even more effectively and fuel their next wave of growth. You will collect rich data on what their customers love, buy, and come back for. You’ll help transform this into insight, strategy, and action — driving customer value and business performance across global markets.
Some duties include:
- Partner with Finance and Marketing teams to power smarter forecasting, budgeting, and decision-making using clear, data-driven insights.
- Work closely with the wider Trading Analytics team to diagnose business performance and recommend actionable solutions.
- Identify high-value customer behaviours and attributes, and translate these into strategy-shaping insights.
- Collaborate across teams to share best practices and elevate the role of analytics company-wide.
- Improve and streamline reporting, working with the BI team to build dashboards that are as actionable as they are insightful.
What we’re looking for:
- Proven experience in customer insight, financial planning, or marketing analytics — retail background a bonus.
- Advanced Excel skills, and experience working with SQL (bonus points for Python or R).
- Strong analytical thinking, matched by the ability to communicate complex data simply and effectively.
The office is based near White City/North Action. This is a hybrid role with 3 days in the office and 2 days at home.
Customer Analytics Analyst employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Analytics Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in customer analytics, especially within the fashion industry. Understanding what drives customer behaviour in this sector will help you speak confidently about how your insights can impact their growth.
✨Tip Number 2
Network with professionals in the analytics and fashion sectors. Attend relevant webinars or local meetups to connect with people who might provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Brush up on your Excel and SQL skills, as these are crucial for the role. Consider taking a short online course or working on personal projects that showcase your ability to analyse data effectively and create actionable insights.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive business decisions in previous roles. Being able to articulate your thought process and the impact of your work will demonstrate your analytical thinking and communication skills.
We think you need these skills to ace Customer Analytics Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in customer insight, financial planning, or marketing analytics. Use specific examples from your past roles that demonstrate your analytical skills and ability to communicate complex data effectively.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the fashion industry and how your skills align with the company's goals. Mention your experience with Excel, SQL, and any knowledge of Python or R, as these are key requirements for the role.
Showcase Analytical Projects: If you have worked on projects that involved diagnosing business performance or creating actionable insights, be sure to include these in your application. Describe the impact of your work and how it contributed to decision-making processes.
Highlight Collaboration Skills: Since the role involves working closely with various teams, emphasise your ability to collaborate and share best practices. Provide examples of how you've successfully worked with cross-functional teams in the past.
How to prepare for a job interview at LinkedIn
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis, particularly in customer insights and marketing analytics. Bring examples of how you've used data to drive decisions and improve business performance.
✨Familiarise Yourself with the Brand
Research the fashion brand thoroughly before the interview. Understand their target market, recent campaigns, and overall business strategy. This will help you tailor your responses and demonstrate your genuine interest in the company.
✨Prepare for Technical Questions
Since advanced Excel skills and knowledge of SQL are crucial for this role, be ready to answer technical questions or even solve problems on the spot. Brush up on your technical skills and be ready to explain your thought process clearly.
✨Emphasise Collaboration
This role involves working closely with various teams, so highlight your teamwork and communication skills. Share examples of how you've successfully collaborated with others to achieve common goals, especially in a fast-paced environment.
