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- Tasks: Lead a high-performing analytics team to deliver insights for strategic decision-making.
- Company: Join Burberry, a leading luxury fashion brand with a commitment to sustainability.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact on supply chain efficiency and product quality in a dynamic environment.
- Qualifications: Degree in a quantitative field and experience in analytics or data science required.
- Other info: Opportunity to work with cutting-edge technologies and elevate data literacy across teams.
The predicted salary is between 54000 - 84000 ÂŁ per year.
Burberry is looking for a talented Analytics Manager to join the Operations & Supply Chain team. In this position you will lead a high‑performing analytics team to deliver scalable insights that support strategic decision‑making across Burberry’s Product and Supply Chain teams. You will translate complex supply chain data into clear stories and decisions that improve product quality, supplier performance and sustainability outcomes, while owning the roadmap for supply chain analytics, dashboards and executive storytelling with a strong focus on Power BI and close cross‑functional partnership.
RESPONSIBILITIES
- Strategic Target Setting & Performance Review: Partner with Product & Supply Chain Leads to establish a clear rhythm of reporting against annual performance objectives, leading monthly reviews of results versus targets, analysing drivers of variance, and delivering executive‑level insights and recommendations that drive continuous performance improvement through consistent KPIs, dashboards and performance reviews across functions and regions.
- Data Strategy, BI and Governance: Partner with central Data & IT teams to adopt best practices across Product & Supply Chain, acting as steward for key datasets (e.g. vendor master, material, production, logistics, incidents) and championing data quality, documentation and consistent definitions across systems. Collaborate with data, engineering and IT teams to influence the design of scalable data models, pipelines and architectures, ensuring reliable and timely access to insights, and driving best‑practice Power BI deployment across the Product & Supply Chain portfolio (modelling, DAX, performance and visual standards).
- Deliver high‑impact insights and innovation: Releasing pivotal quarterly reports (e.g. Vendor Performance Report) that drive root‑cause analysis and continuous improvement, while exploring and scaling advanced analytics and AI use cases where they deliver clear business value.
- Stakeholder Partnership & Executive Advisory: Design, build and continuously improve vendor and supplier scorecards across service, quality, risk, cost and sustainability, delivering robust, audit‑ready deep dives on supplier performance, returns and damages, and ESG compliance, and turning insights into clear, actionable recommendations. Serve as a trusted thought partner to senior supply chain leaders, shaping agendas and content for key forums with a clear, data‑led point of view, and partnering with appropriate teams to ensure insights translate into meaningful action.
- People Leadership & Capability Building: Inspire, develop and manage a high‑performing analytics team, setting clear objectives, driving professional growth and fostering an inclusive culture that champions engagement, diversity and well‑being, while addressing underperformance promptly and creating pathways for emerging talent. Elevate data literacy across Product & Supply Chain teams by designing targeted training, playbooks and “lunch & learn” sessions that make dashboards and analytics tools easy to understand, engage with and act upon.
PERSONAL PROFILE
- Bachelor’s or Master’s degree in a quantitative field (e.g. Engineering, Computer Science, Mathematics, Economics, Supply Chain or related), with proven experience in analytics, data science or BI roles within supply chain, manufacturing or operations.
- Demonstrated expertise in data analysis and modelling, with SQL required and Python/R advantageous, alongside advanced proficiency in Power BI (data modelling, DAX, visualisation and dashboard design); experience with Tableau, Looker or similar BI tools is a plus.
- Proven ability to turn complex, ambiguous problems into structured analyses and clear recommendations, supported by strong communication and storytelling skills that influence senior stakeholders and engage non‑technical audiences.
- Strong leadership and delivery capability, including experience leading analysts or cross‑functional programmes, excellent organisational skills, attention to detail, and the ability to manage multiple workstreams in a fast‑paced environment.
Preferred Qualifications
- Experience in fashion, luxury, consumer goods or complex global manufacturing environments.
- Familiarity with SAP (e.g. S/4HANA), PLM and other core supply chain systems and their integration into analytics solutions.
- Experience with supply chain technologies.
Burberry is an Equal Opportunities Employer and as such, treats all applications equally and recruits purely on the basis of skills and experience.
Senior Analytics Manager in London employer: Burberry
Contact Detail:
Burberry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Burberry. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by diving deep into Burberry's values and recent projects. Show us you’re not just another candidate but someone who truly gets what we’re about.
✨Tip Number 3
Practice your storytelling skills! We love candidates who can turn complex data into engaging narratives. Think of how you can present your past experiences in a way that resonates with our mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Analytics Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Analytics Manager role. Highlight your experience in analytics, data science, and any relevant tools like Power BI. We want to see how your skills align with what Burberry is looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell your story! Use it to explain why you're passionate about analytics and how you can contribute to Burberry's goals. Keep it engaging and make sure to connect your past experiences to the responsibilities outlined in the job description.
Showcase Your Data Skills: Since this role focuses heavily on data analysis and modelling, be sure to showcase your proficiency in SQL and Power BI. Include specific examples of projects where you've used these skills to drive insights or improvements. We love seeing real-world applications!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us that you're genuinely interested in joining the Burberry team. We can't wait to see your application!
How to prepare for a job interview at Burberry
✨Know Your Data Inside Out
As a Senior Analytics Manager, you'll be expected to translate complex data into actionable insights. Brush up on your knowledge of supply chain metrics and be ready to discuss how you've used data to drive decisions in previous roles. Familiarise yourself with Power BI and any relevant tools mentioned in the job description.
✨Showcase Your Leadership Skills
This role involves managing a high-performing analytics team, so be prepared to share examples of how you've inspired and developed your team in the past. Highlight your experience in fostering an inclusive culture and how you've addressed underperformance while creating growth opportunities for your team members.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle ambiguity. Think of specific scenarios where you've turned complex problems into structured analyses. Be ready to explain your thought process and the impact of your recommendations on business outcomes.
✨Engage with Stakeholders
You'll need to partner with various teams, so demonstrate your ability to communicate effectively with non-technical audiences. Prepare to discuss how you've influenced senior stakeholders with your insights and how you've ensured that data-driven recommendations translate into meaningful actions.