At a Glance
- Tasks: Own and maintain SKU master data, ensuring accuracy and consistency across the business.
- Company: Join a fast-growing, purpose-led FMCG brand committed to sustainability.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Work 3 days a week onsite in Herts with a passionate team.
- Why this job: Make a real impact on a rapidly expanding business while promoting sustainability.
- Qualifications: Experience in data management, strong attention to detail, and great communication skills.
The predicted salary is between 29700 - 36300 £ per year.
Fancy joining one of the fastest-growing consumer goods businesses in the UK, right at the point it's scaling up?
Our client is a purpose-led, rapidly-growing FMCG brand on a mission to do things better within their category, combining strong product credentials with genuine sustainability credentials.
What started as a small challenger brand has grown into a business with a loyal, fast-expanding customer base and standout year-on-year sales growth.
They've been officially recognised as one of the fastest-growing businesses in the UK, landing top spots on two major national growth rankings in 2025.
And they're only just getting started.
Now they're looking for a
Master Data Analyst to join the Operations team and take ownership of SKU master data across the business, making sure it's accurate, consistent, and trustworthy at every stage of the product lifecycle.
What you'll be doing
- Owning, setting up, and maintaining SKU master data across all systems
- Partnering with Operations, Product, Finance, Commercial, and Marketing to capture and update product information
- Supporting new product launches with SKU set-up and validation
- Building and enforcing data governance standards to lift data quality
- Running regular data audits to catch and fix discrepancies
- Acting as the go-to contact for master data queries and best practice
- Underpinning reporting and analytics with reliable, accurate data
- Working with tech teams to improve data tools and processes
What you'll bring
- Experience in master data management, data analysis, or operations support
- Sharp attention to detail and strong organisational skills
- Confident with Excel and ERP or inventory management systems
- An analytical mindset that spots errors, patterns, and opportunities to improve
- Great communication skills, comfortable working cross-functionally
- The ability to juggle priorities in a fast-paced, high-growth environment
- A genuine passion for sustainability and doing things properly with data
Herts based - 3 days a week onsite.
If you love bringing order to data, want your work to have a visible impact on a growing business, and care about sustainability, this could be the one.
Master Data Analyst in Watford employer: TalentPool
At TalentPool, we pride ourselves on being an excellent employer by fostering a dynamic work culture that values innovation and collaboration. Our hybrid working model allows for a perfect balance between professional and personal life, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career in the fast-paced eCommerce sector. Join us in Greater London, where you can make a meaningful impact managing key accounts like Amazon and MoonPig.
StudySmarter Expert Advice🤫
We think this is how you could land Master Data Analyst in Watford
✨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 TalentPool!
✨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 Analyst at TalentPool.
✨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 TalentPool.
✨Apply Directly through Our Website
When you find a suitable opening like Master Data Analyst at TalentPool, 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 Analyst in Watford
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 TalentPool, 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 TalentPool. 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 TalentPool
✨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 TalentPool!
✨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.
