At a Glance
- Tasks: Own the integration and dashboard roadmap, building data models for sales and customer insights.
- Company: Join Crew Clothing Company, a vibrant brand with a focus on data-driven decisions.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team in Kingston-on-Thames with exciting career prospects.
- Why this job: Make an impact by enabling live decision-making across various teams with your analytics skills.
- Qualifications: Experience in analytics engineering and familiarity with Power BI and data integration tools.
The predicted salary is between 45000 - 55000 £ per year.
Crew Clothing Company is seeking an Analytics Engineer to join a growing Data & Analytics team in Kingston-on-Thames.
You will own the integration and dashboard roadmap, building and maintaining the Fabric Lakehouse and the Power BI semantic model for sales, stock, returns and customer data.
You will work daily with Claude Code and MCP tooling to accelerate analytics engineering and deliver data products that enable live decision-making across trading, buying, retail and finance teams.
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AI-First Analytics Engineer (Hybrid) in London employer: Crew Clothing Head Office
At Crew Clothing, we pride ourselves on being an exceptional employer that values collaboration, creativity, and kindness. Located in the vibrant Kingston-on-Thames, our work culture fosters personal and professional growth, offering employees the chance to engage in meaningful projects while enjoying a supportive environment. With a focus on continuous improvement and innovation, we empower our team members to thrive and celebrate their successes as part of the Crew family.
StudySmarter Expert Advice🤫
We think this is how you could land AI-First Analytics Engineer (Hybrid) in London
✨Get Involved in Data Science Meetups
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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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We think you need these skills to ace AI-First Analytics Engineer (Hybrid) 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.
