At a Glance
- Tasks: Support data management and ensure high-quality master data across various workstreams.
- Company: Join Nichols, the home of Vimto, where innovation meets flavour.
- Benefits: Enjoy 25 days holiday, annual bonus, and perks like your birthday off!
- Other info: Flexible working with a mix of office and remote days.
- Why this job: Be part of a vibrant team that values your input and celebrates success.
- Qualifications: Basic data management knowledge and strong attention to detail required.
The predicted salary is between 30000 - 40000 £ per year.
- Master Data Executive
- About Nichols
We’re Nichols – the home of Vimto, and there is no other business quite like ours!
We have been making life taste better since 1908.
Every day here is bursting with flavour – from the loved brands we’re proud to share with the world, to the energy, ambition and innovative ideas that fizz through our teams.
As well as our refreshingly different Vimto taste, our varied brand portfolio spans the still, carbonated, post-mix and frozen drinks categories – so you will find us in your local supermarket, pub and leisure outlet.
We also work with the UK’s leading food manufacturers to provide a truly unique range of products that everyone loves.
At the heart of everything is our rich family heritage, an unrelenting ambition to keep innovating, and a true pride in who we are.
This is a place where you can be yourself, speak up, and get stuck in.
We celebrate the wins, cheer each other on and keep things fizzing with positivity.
From leaders who listen to teammates who’ve always got your back its work that feels as good as it tastes!
We take a refreshingly agile approach to how we work, combining the energy of being together in the office with the flexibility of working from home.
You’ll be office-based three days a week, with core hours designed to help you balance work and home life.
We are where serious fun meets real opportunities – and where work tastes better.
About the opportunity
The primary purpose of this role is to provide operational support across the Customer/Supplier and Item/BOM Master Data workstreams.
The role will be responsible for managing routine Master Data activities, delivering first-line business support, maintaining process documentation, ensuring adherence to data quality and governance standards, and enabling Master Data Business Partners to focus on strategic priorities.
The role will include
- Maintaining and amending Customer Master Data, including creating new supplier listings, account suspensions, reactivations and closures as well as routine data cleansing and quality improvements activities.
- Providing first-line support for Master Data queries and requests raised through the Master Data Help Desk, including guidance on processes, policies, and system requirements.
- Monitoring and managing Data Hub requests to ensure timely progression and resolution and reviewing Data Hub submissions, proactively chasing missing, incomplete, or inaccurate information.
- Delivering basic user training and support on Data Hub processes, forms, and master data submission requirements.
- Assisting users with navigating master data processes and resolving common issues.
- Monitoring IT-to-Data support tickets, proactively monitoring backlog queues to ensure requests are progressing within agreed service levels and escalating exceptions where appropriate.
- Supporting ad hoc data extracts and reporting requirements for the business.
- Maintenance of process documentation, work instructions and knowledge articles.
- As the role develops you’ll also be responsible for managing and processing new customer load files and supporting automated master data upload processes as they are developed and implemented across additional data domains
About you
To make a splash in this role you will bring.
- Good understanding of basic data management principles and the importance of data accuracy.
- Ability to work effectively in a fast-paced environment whilst managing multiple priorities.
- Strong attention to detail and commitment to maintaining high data quality standards.
- Proactive approach to problem-solving and continuous improvement.
- Willingness to learn new systems, processes, and master data disciplines.
- Strong organisational and time management skills.
- Effective communication skills with the ability to support and guide business users.
- Ability to follow documented processes and work within established governance controls.
- Strong Microsoft Excel skills, including the use of functions such as VLOOKUP/XLOOKUP, SUMIFS, COUNTIFS, CONCAT, filtering, and data validation.
- Customer service mindset and ability to interact confidently with stakeholders at all levels.
BENEFITS OF WORKING WITH US
- 25 days holiday (with opportunity to buy extra every year)
- Annual Bonus
- Save as you Earn Share Scheme
- Option to join our private medical cover scheme
- Enhanced Primary Carers leave and sick pay
- AND LET’S NOT FORGET THE PERKS
We are also proud to offer
- Holiday home stay
- Your birthday off work
- Free on site parking
- 1 day a year off work to volunteer in the community (you choose when and where)
- Help yourself to our drinks when at one of our sites
- Staff shop with discounts on our products
We are committed to building an inclusive workplace where everyone feels valued and supported.
We believe diverse teams perform at their best, and we welcome people with different backgrounds, life experiences, perspectives and ways of thinking.
Any job offer is subject to an individual’s Right to Work in the UK.
Unfortunately, we are unable to sponsor visas.
#J-18808-Ljbffr
Master Data Associate employer: Nichols plc
As a Senior Finance Business Partner, you will thrive in a dynamic and inclusive work environment that prioritises employee growth and collaboration. With a strong focus on strategic partnership and financial insights, our company offers exceptional benefits such as 25 days of holiday, an annual bonus, and opportunities for community volunteering, all while fostering a culture that values diversity and innovation. Join us to make a meaningful impact in the UK Packaged business unit and advance your career in a supportive setting.
StudySmarter Expert Advice🤫
We think this is how you could land Master Data Associate
✨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 Nichols plc!
✨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 Associate at Nichols plc.
✨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 Nichols plc.
✨Apply Directly through Our Website
When you find a suitable opening like Master Data Associate at Nichols plc, 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 Associate
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 Nichols plc, 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 Nichols plc. 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 Nichols plc
✨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 Nichols plc!
✨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.
