Masterdata Analyst

Greencore
Worksop
2 weeks ago
Applications closed

Related Jobs

View all jobs

Master Data Analyst

SAP Master Data Analyst

Data Analyst

ERP Data Analyst (Finance)

ERP Data Analyst (Finance)

Data Engineer (18 Months FTC)

12 Month FTC

Why Greencore?

Following the combination with Bakkavor in January 2026, we're one of the UK's leading creators of convenience food, driven by a simple purpose: to make every day taste better.

As a vibrant and fast-moving business, we're proud to employ over 28,000 talented colleagues across 36 manufacturing sites and 21 distribution depots in the UK and the US. Together, we bring delicious food to life. Our products cover every meal occasion from breakfast through to dinner and dessert, with lunch and snacking in between. In FY25, our shared passion helped us achieve combined revenues of approximately £4bn.

Our extensive direct to store (DTS) network, with 17 depots across the UK, allows us to deliver fresh and frozen food both our own and from trusted partners to thousands of stores every day, ensuring consumers enjoy the very best, whenever and wherever they shop.

Role Purpose:

We are seeking a detail-oriented and analytical Master Data Analyst to join our team. The primary responsibility of this role is to ensure the accuracy, consistency, and integrity of our organization's master data. The Master Data Analyst will be responsible for creating and maintaining master data records to support business operations and decision-making processes. The ideal candidate will have a strong understanding of master data management principles, excellent analytical skills, and the ability to collaborate effectively with cross-functional teams.

What you'll be doing:

Collaborate with business stakeholders to understand master data requirements and define data standards and rules for data creation, maintenance, and governance.
Ensure data governance policies and procedures are followed.
Create and maintain master data records across multiple ERP systems.
Perform data cleansing, enrichment, and standardisation activities to ensure the accuracy and completeness of master data records.
Support data migration and integration projects by validating and reconciling master data between different systems and platforms.
Provide training and support to end-users on master data management processes, tools, and best practices.
Collaborate with cross-functional teams to identify opportunities for process improvement and optimization related to master data management.
Participate in cross-functional projects and initiatives as a subject matter expert on master data management and data quality.
What we're looking for:

Experience in data management, data analytics or related roles, with a focus on master data management.
Understanding of master data management principles, concepts, and best practices.
Proficiency in data analysis tools and techniques, including SQL, Excel, and data visualization tools (e.g, Power BI).
What you'll get in return:

Competitive salary and job-related benefits
25 days holiday
Pension up to 8% matched
Company share save scheme
Greencore Qualifications
Exclusive Greencore employee discount platform
Access to a full Wellbeing Centre platform
Throughout your time at Greencore, you will be supported with on the job training and development opportunities to further your career

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.