National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst - Food Manufacturing

Gafoor
Preston
1 week ago
Create job alert

Job Title:Data Analyst - Food Manufacturing

Location:Preston, Lancashire, UK

Salary:circa £28,000 - £30,000pa dependent on experience, specifically in relation to candidates with experience in the meat / poultry processing sector

Job type:Full time, Permanent

Gafoor is a dynamic and rapidly growing family-owned business in Preston looking for an experienced data analyst. Gafoor is a key player in their sector operating in a modern, BRC accredited facility supplying some of the biggest and most progressive names in the grocery, retail, and wholesale sector on a national basis.

The operation involves live animal intake through to distribution of finished and packed product from the company's single manufacturing site in Preston, employing 500 team members.

About the Role:

In this pivotal role you'll help us transform complex data into clear insights that improve our operations, supply chain, quality control, and customer satisfaction. On a broader level, you'll support the wider Operations team by building and maintaining dashboards and reports that provide essential visibility into performance. These tools will help teams across the business make smarter, more informed decisions. You'll also handle ad-hoc data requests and collaborate with colleagues to understand their needs, translating them into actionable analytics that support operational improvements and strategic planning.

If you are seeking the chance to join a well-established company at an exciting stage in their growth, send your CV in for immediate consideration.

Please note that sponsorship is not on offer for this role and therefore candidates must have the legal right to live and work in the UK to be considered.

What you'll do:

  • Gather production data from the factory and various production lines,
  • Analyze production, inventory, and quality data to identify trends, inefficiencies, and opportunities
  • Create dashboards and reports for key stakeholders across operations, logistics and finance
  • Work closely with cross-functional teams to improve decision-making and drive performance
  • Ensure data accuracy and integrity across internal systems
  • Support strategic initiatives with timely, actionable insights

What You'll Bring:

  • 2+ years' experience in a data analyst or similar role (experience in manufacturing or food industry a plus)
  • Strong skills in Excel, SQL, Power BI/Tableau (or similar tools)
  • Analytical thinking with a problem-solving mindset
  • Experience with ERP systems
  • Excellent communication and collaboration skills

Why Join Us?

  • Be part of a fast-growing, innovative food brand
  • Work in a collaborative and values-driven culture
  • Opportunities for growth, training, and career development
  • Competitive salary

Please click theAPPLYbutton to send your CV in for immediate consideration.

Candidates with experience or relevant job titles of; Data analysis, Data science, Data Engineer, Business Intelligence Analyst, Analytics Manager, Data architect, Food Production Analyst, Food Production Planning, Production Data Analyst may also be considered for this role.

bXN0cm9ibG92YS43NTAzMy4xMjI3MUBibHVldG93bi5hcGxpdHJhay5jb20.gif

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

National AI Awards 2025

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.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.