At a Glance
- Tasks: Create and maintain product data, ensuring accuracy across all sales channels.
- Company: Join a friendly and supportive team at BiGDUG in Gloucester.
- Benefits: Enjoy flexible working, competitive salary, and 23 days holiday plus your birthday off.
- Other info: Opportunities for career growth and perks like rugby match tickets!
- Why this job: Perfect for detail-oriented individuals who love working with data and want to grow their skills.
- Qualifications: Strong Excel skills and a proactive mindset; Photoshop experience is a plus.
The predicted salary is between 23625 - 28875 £ per year.
Are you detail‐driven, organised and confident working with data? Do you enjoy turning messy spreadsheets into clean, accurate information that others can rely on? If you’re looking for a role where you can take ownership, support multiple teams and play a key part in keeping our product data accurate and customer‐ready this could be the perfect next step.
We’re looking for a Product Data Administrator to join our Product team at our Gloucester HQ. You’ll be responsible for creating, maintaining and improving product data across our internal systems and all BiGDUG sales channels. Working closely with Category Managers and teams across the business, you’ll make sure our product information is always up to date, accurate and presented in a way that helps customers make confident buying decisions. This is a great opportunity for someone who enjoys working with data, has strong attention to detail and wants to grow their skills in a fast‐moving, supportive environment.
What you’ll be doing
- Create new products in our management system using data provided by Category Managers.
- Manipulate and format spreadsheet data ready for upload.
- Edit and prepare product images using Photoshop.
- Upload new products across BiGDUG and other branded websites.
- Keep product information accurate throughout the product lifecycle — including images, pricing, descriptions and specifications.
- Update supplier prices, lead times and stock‐related data such as order quantities and commodity codes.
- Extract and present sales data to support Category Managers with supplier meetings and product performance reviews.
What we’re looking for
- Strong Excel skills and excellent attention to detail.
- Comfortable working with large datasets and spreadsheets.
- Highly organised with the ability to prioritise tasks and manage deadlines.
- Confident communicator who can work with multiple teams.
- A proactive mindset and willingness to learn new systems and processes.
- Experience with Photoshop is beneficial (but training can be provided).
What we can offer you
- 40 hours per week, Monday–Friday
- Friendly, supportive team environment
- Opportunities to grow your skills within the Product function
- Flexible/hybrid working
- Competitive salary
- Company bonus scheme
- Contributory pension
- 23 days’ holiday + bank holidays + your birthday off
- Perkbox rewards platform
- Employee Assistance Programme
- Life assurance
- Private GP access
- Staff discount for you, friends & family
- Tickets to Gloucester Rugby matches in the BiGDUG box
If you’re ready to take ownership of our product data and help us deliver a best‐in‐class online experience, we’d love to hear from you.
Product Data Administrator employer: Kaiserkraft
Kaiserkraft is an excellent employer that fosters a dynamic and supportive work culture, where your leadership can truly make a difference across three thriving brands. With a strong focus on employee growth, we offer comprehensive training and development opportunities, ensuring you can advance your career while contributing to our collective success. Located in a vibrant area, our team enjoys a collaborative environment that values innovation and accountability, making it a rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Administrator
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We think you need these skills to ace Product Data Administrator
Some tips for your application 🫡
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✨Brush Up on Your Statistics
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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.
