Analytics Manager in England

Analytics Manager in England

England Full-Time 48000 - 72000 £ / year (est.) No home office possible
B

At a Glance

  • Tasks: Lead a high-performing analytics team to deliver insights for strategic decision-making.
  • Company: Join Burberry, a creative and values-driven luxury brand.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Why this job: Make an impact in sustainable luxury while shaping the future of supply chain analytics.
  • Qualifications: Degree in a quantitative field with experience in analytics and data science.
  • Other info: Dynamic environment with a focus on creativity and collaboration.

The predicted salary is between 48000 - 72000 £ per year.

At Burberry, we believe creativity opens spaces. Our purpose is to unlock the power of imagination to push boundaries and open new possibilities for our people, our customers and our communities. This is the core belief that has guided Burberry since it was founded and is central to how we operate as a company today. We aim to provide an environment for creative minds from different backgrounds to thrive, bringing a wide range of skills and experiences to everything we do. As a purposeful, values-driven brand, we are committed to being a force for good in the world as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities.

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.
  • 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.
  • 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.

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.

Analytics Manager in England employer: Burberry

At Burberry, we pride ourselves on fostering a creative and inclusive work environment where diverse talents can thrive. As an Analytics Manager, you will not only lead a high-performing team but also have the opportunity to drive meaningful change in our supply chain operations, contributing to our commitment to sustainability and excellence. With a focus on professional growth, innovative analytics practices, and a culture that champions engagement and well-being, Burberry is an exceptional employer for those seeking to make a significant impact in the luxury fashion industry.
B

Contact Detail:

Burberry Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Manager in England

✨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 how your skills align with their mission of creativity and sustainability.

✨Tip Number 3

Practice your storytelling skills! Be ready to translate complex data insights into clear narratives that resonate with non-technical audiences. We love a good story!

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed and shows your enthusiasm for joining the Burberry team.

We think you need these skills to ace Analytics Manager in England

Data Analysis
Power BI
SQL
Python
DAX
Data Modelling
Visualisation
Dashboard Design
Communication Skills
Stakeholder Management
Leadership Skills
Analytical Thinking
Problem-Solving Skills
Attention to Detail
Project Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Analytics Manager role. Highlight your experience in data analysis, Power BI, and any relevant supply chain projects. 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! Share why you're passionate about analytics and how you can contribute to Burberry's mission. Keep it engaging and make sure to connect your experiences to the job description.

Showcase Your Data Skills: Since this role is all about data, don’t forget to showcase your technical skills! Mention your proficiency in SQL, Python/R, and any other tools you've used. We love seeing how you’ve turned complex data into actionable insights.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Good luck!

How to prepare for a job interview at Burberry

✨Know Your Data Inside Out

As an Analytics Manager, you'll be expected to handle complex data. Make sure you brush up on your SQL and Power BI skills before the interview. Be ready to discuss how you've used data to drive decisions in past roles, and prepare examples that showcase your analytical prowess.

✨Tell a Compelling Story

Burberry values storytelling with data. Practice how you can translate complex analytics into clear, actionable insights. Think about how you can present your findings in a way that resonates with non-technical stakeholders, and be prepared to share specific examples of how your insights have led to tangible improvements.

✨Showcase Your Leadership Skills

You'll be leading a high-performing analytics team, so highlight your leadership experience. Prepare to discuss how you've inspired and developed teams in the past, and think about ways you've fostered an inclusive culture. Be ready to share strategies you've implemented to elevate team performance.

✨Understand Burberry's Values

Familiarise yourself with Burberry's commitment to sustainability and creativity. Be prepared to discuss how your work aligns with their mission and how you can contribute to their goals. Showing that you understand and resonate with their values will set you apart from other candidates.

Analytics Manager in England
Burberry
Location: England

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>