At a Glance
- Tasks: Support data analysis and insights for ecommerce and retail channels.
- Company: Dynamic fashion brand portfolio focused on innovation and customer satisfaction.
- Benefits: Competitive salary, mentorship, and opportunities for skill development.
- Other info: Collaborative environment with growth opportunities in a fast-paced setting.
- Why this job: Kickstart your data career in a high-impact role with real-world applications.
- Qualifications: Strong academic background in analytical subjects and interest in data.
The predicted salary is between 31500 - 38500 £ per year.
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
Compensation: Competitive salary
Junior Data Analyst in London employer: Crew Clothing Head Office
Crew Clothing Company is an excellent employer, offering a vibrant work culture in the heart of Kingston-on-Thames. With a focus on employee growth and development, team members enjoy opportunities to engage in exciting marketing campaigns and local activations that truly reflect our brand values. The hybrid working model allows for flexibility while fostering collaboration and creativity within the team.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst in 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 Crew Clothing Head Office!
✨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 Crew Clothing Head Office.
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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 Crew Clothing Head Office.
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When you find a suitable opening like Junior Data Analyst at Crew Clothing Head Office, 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 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 Crew Clothing Head Office, 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 Crew Clothing Head Office. 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 Crew Clothing Head Office
✨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 Crew Clothing Head Office!
✨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.
