At a Glance
- Tasks: Support trading teams by managing stock performance and analysing sales data.
- Company: Join Robert Dyas, a modern retailer focused on data-driven decisions.
- Benefits: Gain valuable experience in retail analytics with potential for career growth.
- Other info: Perfect for those looking to turn their numeracy skills into a rewarding career.
- Why this job: Be the analytical engine driving commercial success in a fast-paced environment.
- Qualifications: No retail experience needed, just a passion for numbers and patterns.
The predicted salary is between 30000 - 40000 £ per year.
Ultimately, you’re not just looking to start or continue your career in retail—you’re looking to master the numbers behind the product. You want to be part of a team where strategy meets reality, and every decision is backed by data. At Robert Dyas, we are modern, analytical retailers. We search for the latest products, but we succeed because we know how to manage those products profitably. We don’t just buy; we plan, analyse, and optimise. Modern homes and gardens are demanding, and our challenge is ensuring we have the right inventory, in the right place, at the right time.
As a Trade Admin Assistant, you are the backbone of our trading teams. You will help drive the commercial success of your category by supporting the Merchandiser in managing the financial performance of our stock from initial planning through to the customer.
Your Impact:
- OTB & Inventory Management: Monitoring stock flow and managing ‘Open to Buy’ to ensure we are reactive to trading conditions while maximizing ROI.
- Financial Analysis: Tracking performance against KPIs, analysing sales data to identify trends, and ensuring our stock levels hit our availability targets.
- Profit Maximisation: Proposing mark-down activities and range plans that optimise space and cash margin.
- Strategic Support: You won’t just be crunching numbers; you’ll be providing the insights that shape our future ranges.
What We’re Looking For:
- You don’t need retail experience, but you do need a sharp mind and a passion for patterns. We are looking for someone who thrives in a fast-paced environment where quick, accurate analytical skills are key.
- Highly Numerate: You are comfortable working with complex data and spreadsheets—you see a story in the numbers.
- Driven by Accuracy: You have high attention to detail and a desire to get to the "why" behind the figures.
- Commercial Mindset: You understand that retail is about more than products; it's about the financial mechanics that make the business grow.
You’ll thrive in an environment where decisions happen quickly and where your analysis directly impacts the bottom line. If you are ready to turn your numeracy skills into a commercial career, we want to hear from you.
Trade Admin Assistant in London employer: Robert Dyas
At Robert Dyas, we pride ourselves on being a modern and analytical retailer that values data-driven decision-making. Our vibrant work culture fosters collaboration and innovation, providing employees with ample opportunities for growth and development in the retail sector. As a Trade Admin Assistant, you will not only play a crucial role in our trading teams but also enjoy a supportive environment that encourages your passion for numbers and strategic thinking.
StudySmarter Expert Advice🤫
We think this is how you could land Trade Admin Assistant in London
✨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 Robert Dyas 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 Robert Dyas.
✨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 Robert Dyas.
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Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Robert Dyas’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Trade Admin Assistant in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Robert Dyas, 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 Robert Dyas 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 Robert Dyas
✨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!
