At a Glance
- Tasks: Analyse customer data to enhance engagement and optimise CRM strategies.
- Company: Join Burberry, a leading luxury brand committed to creativity and sustainability.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on creativity and community impact.
- Why this job: Make a real impact in the luxury fashion industry with your analytical skills.
- Qualifications: 5+ years in CRM Analytics, strong skills in Databricks and data visualisation tools.
The predicted salary is between 50000 - 60000 £ 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 in 1856 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.
JOB PURPOSE
We are seeking a highly analytical and technically skilled CRM Data Analyst to join us on a FTC to join our growing Global Customer team. In this role, you will leverage data to drive meaningful customer engagement, optimize CRM strategies, and support the brand’s ambition to deliver exceptional client experiences. You will work closely with CRM, Data Science, and Digital teams to translate data into actionable insights, using advanced analytics tools and coding in Databricks to structure and analyse large datasets. The ideal candidate has a balance of technical expertise and business acumen, with a passion for the luxury and fashion industry.
RESPONSIBILITIES
- Build, maintain, and optimize customer data models and segmentation frameworks in Databricks.
- Identify customer insights and trends that inform personalization, targeting, and strategic decision-making.
- Design and maintain interactive dashboards (preferably using Tableau and/or Looker and/or PowerBI), ensuring data accuracy and usability for key stakeholders.
- Ensure data governance and consistency across global CRM and analytics platforms.
- Collaborate with cross-functional teams to support omnichannel initiatives and clienteling tools, particularly with Data Science.
- Update weekly, monthly, and quarterly reports to share with top management, providing insights and recommendations to inform strategic decision.
- Perform ad hoc customer analyses to support the business in accelerating key customer metrics, particularly retention and purchase frequency.
- Partner with CRM and Marketing teams to measure One to One and One to Many Campaign effectiveness, looking at Global and Regional performance.
- Support regional teams by providing training on CRM tools, dashboards, and best practices, as well as performing ad hoc analyses to help them drive local customer engagement.
PERSONAL PROFILE
- 5+ years of experience in CRM Analytics, Data Analytics, or related roles, ideally within the fashion, retail, or luxury sector.
- Strong proficiency in Databricks (SQL, Python, or PySpark) for data transformation and analysis.
- Solid understanding of CRM principles, customer segmentation, and campaign measurement.
- Experience working with customer databases, CDPs, and marketing automation systems (e.g., Salesforce, Braze).
- Proven experience creating and maintaining reports and dashboards in Tableau and Looker.
- Strong analytical mindset and attention to detail, with the ability to interpret complex data into clear business insights.
- Excellent communication skills and stakeholder management, with the ability to present findings to non-technical audiences.
- A passion for fashion, luxury, and customer experience.
Burberry is an Equal Opportunities Employer and as such, treats all applications equally and recruits purely on the basis of skills and experience.
CRM Data Analyst in London employer: Burberry
At Burberry, we foster a vibrant and inclusive work culture that champions creativity and innovation, making it an exceptional employer for those passionate about the luxury fashion industry. Our commitment to employee growth is evident through continuous training opportunities and collaboration across diverse teams, ensuring that every team member can thrive and contribute to our mission of sustainable luxury. Located in a dynamic environment, Burberry offers unique advantages such as access to cutting-edge analytics tools and a chance to be part of a brand that is dedicated to making a positive impact on communities and the industry.
StudySmarter Expert Advice🤫
We think this is how you could land CRM Data Analyst in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace CRM Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Burberry, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Burberry. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Burberry
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Burberry!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
