At a Glance
- Tasks: Support data analysis and insights for ecommerce and retail, building dashboards and reports.
- Company: Dynamic fashion brand portfolio focused on innovation and customer experience.
- Benefits: Gain hands-on experience, mentorship, and develop your data skills in a collaborative environment.
- Other info: Opportunities for growth and learning in a supportive team.
- Why this job: Kickstart your data career with real impact in a fast-paced, creative setting.
- Qualifications: Strong academic background in analytical subjects and a passion for data.
The predicted salary is between 31500 - 38500 £ per year.
Department: Ecommerce (Data & Insights)
Reports to: Senior Customer Analyst
Location: Kingston-on-Thames
Hours: 37.5
Crew operate a growing portfolio of British fashion brands that balance heritage with innovation. We celebrate our customers by creating data-driven strategies that meet their needs across ecommerce and retail environments. We believe in collaboration, creativity, and developing future-facing talent. This junior role is a fantastic opportunity to begin your data career in a high-impact, commercial setting — supporting our data and insight efforts across multiple retail brands.
PURPOSE OF THE ROLE
As a Junior Data Analyst, you’ll support the Data & Insights team in delivering analysis, reporting and insight across ecommerce and retail channels. Working closely with the Senior Customer Analyst, you’ll help prepare data, build dashboards, and assist in translating performance into actionable business learnings. You’ll gain exposure to the Group’s data strategy, tooling, and modelling approach — with opportunities to grow your technical and commercial skills through on-the-job learning and mentorship.
Key Responsibilities
- Support the delivery of customer and performance insights across ecommerce and retail
- Assist in preparing datasets and maintaining reports for stakeholders across trading, product, digital, and retail teams
- Help design and maintain dashboards and visual reports using tools such as Power BI and Looker Studio
- Assist in analysing customer journeys, campaign performance and ecommerce behaviour
- Translate data into insight summaries and visual outputs that support decision-making
- Learn and apply foundational concepts in segmentation, forecasting, and attribution over time
- Collaborate cross-functionally to understand stakeholder needs and develop analysis that drives action
Key Skills And Experience
- A strong academic background in a mathematical, analytical or technical subject (e.g. Mathematics, Statistics, Economics, Data Science, Physics, Computer Science)
- Demonstrable interest in data, analytics, or ecommerce through academic projects, internships or early work experience
- Basic knowledge of Excel and an interest in developing skills in SQL and BI tools
- Highly organised and detail-oriented, with an eagerness to learn from others
- Strong communication skills and willingness to engage with both data teams and commercial colleagues
- A proactive, curious mindset with the ability to ask questions and explore solutions
- Ability to manage multiple tasks and timelines in a fast-paced environment
DESIRABLE
- Exposure to any data visualisation or analytics platforms (Power BI, Looker Studio, etc.)
- Familiarity with ecommerce environments or consumer-facing brands
- Any experience using Google Analytics, or CRM platforms like Ometria or ContentSquare is a plus
Customer Data Analyst employer: Crew Clothing Company
At Crew Clothing, we pride ourselves on being an exceptional employer, offering a vibrant work culture that values collaboration, kindness, and creativity. As a Key Holder, you'll enjoy a competitive salary, a uniform contribution to help you look your best, and a future-focused pension plan, all while working in a supportive environment that champions your personal and professional growth. Join us in celebrating life's best moments through timeless British style and be part of a team that truly puts people at the heart of everything we do.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data Analyst
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Crew Clothing Company when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Crew Clothing Company.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Crew Clothing Company.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Crew Clothing Company’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Customer Data Analyst
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Crew Clothing Company, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Crew Clothing Company aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Crew Clothing Company
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
