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- Tasks: Analyse customer behaviour and improve experiences in a fast-paced luxury retail environment.
- Company: Join the iconic Selfridges team, where customers are at the heart of everything we do.
- Benefits: Competitive salary, dynamic work culture, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and enjoy a vibrant workplace.
- Why this job: Make a real impact by shaping customer insights and driving strategic initiatives.
- Qualifications: Strong SQL skills and experience in customer analytics required.
The predicted salary is between 36000 - 60000 ÂŁ per year.
At Selfridges, our customers are at the heart of everything we do. As Customer Analytics Manager (MAT Cover), you will help shape how we understand, measure, and improve the customer experience across both our stores and online. You'll use your analytical expertise to uncover insights, influence decision‑making, and support key business initiatives. This is a high‑impact role requiring strong technical capability, commercial expertise and stakeholder influence within a fast‑paced luxury retail environment. You will lead high‑quality analysis and reporting to help the business grow. By partnering closely with the Finance and Membership teams, you will ensure data is at the heart of every decision we make.
Key Responsibilities
- Customer Insights & Performance: Monitor and analyse customer behaviour through regular reporting and deep‑dive analyses. Identify retention and reactivation drivers, and overall customer value to support lifecycle marketing and strategic initiatives.
- Retention Analytics: Unlocked program: Monitor and assess performance of the program, including enrolment, engagement and retention outcomes. Provide insights and recommendations that help optimise member experience and long‑term value. Events: Use advanced analytics to identify and target the right customers for events. Evaluate event performance, measure impact on customer behaviour and highlight opportunities to enhance effectiveness and commercial return. Highlight opportunities to optimise the programme and enhance member value.
- Data Visualisation & Storytelling: Build compelling dashboards and reports in Power BI for over 300 users that translate complex data into clear, actionable insights. Promote self‑service analytics.
- Analytics Roadmap: Maintain and deliver the analytics roadmap, ensuring alignment with both immediate needs and long‑term objectives.
- Data & Technical Leadership: Ensure accuracy, integrity and governance of customer data models. Perform UAT on new data models and enhancements entering the customer database, validating business logic and data accuracy before releasing. Collaborate with Data Engineering teams to identify, diagnose and resolve data quality issues within our customer base. Identify opportunities for automation and process improvements.
What You'll Bring
- Strong SQL skills with daily hands‑on usage required; proven experience querying and manipulating large complex datasets.
- Proficiency with data visualisation tools—ideally Power BI.
- Experience in customer analytics—ideally within a B2C, loyalty‑focused, or subscription‑based environment and solid understanding of key customer metrics such as retention, lifetime value, and churn.
- Strong strategic thinking and ability to turn data into compelling stories. Ability to communicate insights clearly to both technical and non‑technical audiences.
- Comfortable working cross‑functionally and influencing stakeholders at different levels of the organisation.
- Excellent time‑management skills, with the ability to balance multiple priorities.
- Genuine passion for understanding customer behaviour and enhancing customer experience.
- Curiosity, adaptability, and enthusiasm for learning new tools and approaches.
Customer Analytics Manager (Maternity Cover) in London employer: Selfridges
Contact Detail:
Selfridges Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Analytics Manager (Maternity Cover) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their customer analytics approach and think about how your skills can add value. Tailor your responses to show you're the perfect fit for their team.
✨Tip Number 3
Practice your storytelling skills! Be ready to share examples of how you've used data to drive decisions and improve customer experiences. Make it relatable and engaging to keep your interviewers hooked.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to connect with us directly.
We think you need these skills to ace Customer Analytics Manager (Maternity Cover) in London
Some tips for your application 🫡
Show Your Analytical Skills: Make sure to highlight your analytical expertise in your application. We want to see how you can uncover insights and influence decision-making, so share specific examples of your past work that demonstrate these skills.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their CVs and cover letters to match the job description. Use the language from the job posting to show us you understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant, and make sure your key points stand out.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to follow your application status directly. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Selfridges
✨Know Your Data Inside Out
Make sure you’re well-versed in SQL and can discuss your experience with large datasets. Be ready to share specific examples of how you've used data to drive customer insights and improve experiences.
✨Showcase Your Storytelling Skills
Prepare to explain complex data in a way that’s easy to understand. Think about how you can turn your analytical findings into compelling narratives that resonate with both technical and non-technical stakeholders.
✨Demonstrate Your Cross-Functional Collaboration
Be ready to talk about times when you’ve worked with different teams, like Finance or Marketing. Highlight how you influenced decisions and contributed to projects that required input from various departments.
✨Stay Curious and Adaptable
Express your enthusiasm for learning new tools and approaches. Share examples of how you’ve adapted to changes in the analytics landscape and how that has positively impacted your work.