At a Glance
- Tasks: Manage and improve business-critical data across multiple systems in a fast-paced environment.
- Company: Growing FMCG manufacturer undergoing a major transformation.
- Benefits: Competitive salary, hybrid working, and potential for permanent role.
- Other info: Opportunity for career growth and involvement in exciting transformation projects.
- Why this job: Join a dynamic team and make a real impact on data quality and governance.
- Qualifications: Experience in data administration and strong Microsoft Excel skills required.
Initial Interim Contract £34,000-£38,000 per annum (Equivalent to Hourly Rate Inside IR35) Surrey - Hybrid Working (2-3 Days On-Site)
We're supporting a growing FMCG manufacturer undergoing a significant business transformation and are looking to appoint a Master Data Administrator to support the integrity and management of business-critical data across the organisation. This is a newly created role supporting a major transformation programme; however, there is a strong likelihood the assignment will extend and genuine potential for the role to become permanent as the business continues to evolve.
This is an excellent opportunity for someone with strong data administration experience who enjoys working with large datasets, improving data quality, and supporting operational teams within a fast-paced environment. Reporting into the Supply Chain function, you'll take ownership of maintaining and improving master data across multiple business systems, ensuring information is accurate, consistent, and available to support operational and commercial decision-making.
Working closely with Supply Chain, Commercial, Finance, Operations, and IT teams, you'll play a key role in supporting the business through a period of systems and process transformation.
- Create, maintain, and update master data across products, suppliers, customers, locations, and operational systems
- Ensure business-critical data is accurate, complete, and maintained in line with company standards
- Perform regular data validation, reconciliations, and quality checks to identify and resolve discrepancies
- Produce regular reports and data extracts to support operational and commercial teams
- Work closely with Supply Chain, Finance, Commercial, and Operations to ensure data integrity across multiple systems
- Support the implementation of new systems, processes, and data governance initiatives
- Investigate data queries and resolve issues in a timely manner while maintaining clear audit trails
- Identify opportunities to improve data quality, reporting, and master data processes
Previous experience in a Master Data, Data Administration, Supply Chain Administration, or Business Support role is required. Strong Microsoft Excel skills with excellent attention to detail are essential. Experience maintaining and validating large volumes of business-critical data and using ERP or business systems to maintain master data is necessary. Exposure to Power BI, Power Query, or reporting tools would be advantageous. A proactive mindset with a passion for data accuracy and continuous improvement is also important.
You'll play a key role in improving data quality and governance while supporting a significant business transformation, with genuine potential for the role to become permanent. If you're an organised and detail-focused Master Data Administrator with experience managing business-critical data in a fast-paced environment, we'd love to hear from you.
Locations
Master Data Specialist in Camberley, Surrey employer: We Do Group
We Do Group is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the education sector. Employees benefit from comprehensive professional development opportunities and a supportive environment that values organisational change, making it an ideal place for those looking to make a meaningful impact in HR transformation.
StudySmarter Expert Advice🤫
We think this is how you could land Master Data Specialist in Camberley, Surrey
✨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 We Do Group!
✨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 Master Data Specialist at We Do Group.
✨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 We Do Group.
✨Apply Directly through Our Website
When you find a suitable opening like Master Data Specialist at We Do Group, 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 Master Data Specialist in Camberley, Surrey
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 We Do Group, 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 We Do Group. 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 We Do Group
✨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 We Do Group!
✨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.