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: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Fast-paced environment where your insights shape future product ranges.
- Why this job: Make a real impact on product strategy and financial success.
- Qualifications: Strong numerical skills and attention to detail required.
The predicted salary is between 25000 - 32000 £ 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
- 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.
When you thrive in a fast-paced environment where decisions happen quickly and your analysis directly impacts the bottom line, we want to hear from you.
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StudySmarter Expert Advice🤫
We think this is how you could land Trade Admin Assistant - Head Office - Wimbledon 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 Robert Dyas!
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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 Robert Dyas.
✨Apply Directly through Our Website
When you find a suitable opening like Trade Admin Assistant - Head Office - Wimbledon at Robert Dyas, 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 Trade Admin Assistant - Head Office - Wimbledon 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 Robert Dyas, 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 Robert Dyas. 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 Robert Dyas
✨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 Robert Dyas!
✨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.
