At a Glance
- Tasks: Analyse customer data to enhance engagement and optimise CRM strategies.
- Company: Join a leading luxury brand with a focus on exceptional client experiences.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a passion for luxury and customer experience.
- Why this job: Make a real impact in the fashion industry through data-driven insights.
- Qualifications: 4+ years in CRM or Data Analytics, strong skills in Databricks and dashboard tools.
The predicted salary is between 35000 - 45000 £ per year.
Location: London
Duration: 12 Months FTC
Work Model: Hybrid 4-days onsite in a week.
Purpose: We are seeking a highly analytical and technically skilled CRM Data Analyst 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.
Core accountabilities:
- Update weekly, monthly, and quarterly reports to share with top management, providing insights and recommendations to inform strategic decisions.
- 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.
Experience:
- 4+ 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.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst in City of London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lorien!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior Data Analyst at Lorien.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lorien.
✨Apply Directly through Our Website
When you find a suitable opening like Junior Data Analyst at Lorien, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Junior Data Analyst in City of 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 Lorien, 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 Lorien. 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 Lorien
✨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 Lorien!
✨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.
