At a Glance
- Tasks: Manage product data and ensure accurate online content for multiple business areas.
- Company: Wolseley, a leading trade merchant in the UK and Ireland.
- Benefits: Competitive salary, bonuses, generous pension, and health perks.
- Other info: Full-time role with excellent career development opportunities.
- Why this job: Join a dynamic team and develop your skills while making an impact.
- Qualifications: Strong communication skills and good IT proficiency; Excel knowledge is a plus.
The predicted salary is between 27000 - 28000 £ per year.
Salary: Competitive Salary + Bonus + Excellent Benefits
We are Wolseley, a leading specialist trade merchant across the UK and Ireland. We pride ourselves in putting our people and customers at the heart of everything we do – and best of all, provide opportunities to develop skills and build careers through our award-winning Wolseley Talent Guild.
In addition to the competitive salary, there are also benefits on tap – including:
- Annual leave (increasing with length of service)
- A generous pension scheme (matched up to 9%)
- Potential to earn bonuses
- Enhanced maternity/adoption leave
- Access to a great range of online and high street discounts
We also promote positive health and wellbeing by offering free access to healthcare, our popular YuLife app, our Cycle to Work scheme and more!
As a Product Data Coordinator based in Warwick you’ll be responsible for:
- Managing the end-to-end creation and maintenance of online product content, ensuring product information is accurate, complete and available on the website across multiple business areas.
- Liaising with suppliers and internal stakeholders, including Commercial, Product and Own Brand teams, to gather detailed product information such as specifications, dimensions, technical attributes, features and application data.
- Uploading and maintaining high volumes of product data within the Product Information Management (PIM) system (Pimberly), processing up to 200 products per day while maintaining high levels of accuracy and attention to detail.
- Producing and analysing product data reports to identify incomplete product records and prioritise high-revenue products for online publication, proactively engaging suppliers and internal teams to obtain missing information and improve product availability.
This is a full-time, permanent role working 40 hours per week Monday to Friday between 8.00pm – 5.00pm.
And here’s what we’d like you to have:
- To be confident communicating with suppliers and internal teams to gather information and resolve queries.
- Good IT skills, including Outlook, with the ability to manage emails and prioritise workload effectively.
- Excel skills are desirable, particularly using VLOOKUPs and Pivot Tables.
- Industry or product knowledge would be beneficial, but a willingness to learn is equally important.
We look forward to receiving your application!
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Coordinator
✨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 Wolseley!
✨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 Product Data Coordinator at Wolseley.
✨Leverage Professional Networks
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 Wolseley.
✨Apply Directly through Our Website
When you find a suitable opening like Product Data Coordinator at Wolseley, 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 Product Data Coordinator
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 Wolseley, 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 Wolseley. 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 Wolseley
✨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 Wolseley!
✨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.
