Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Procurement And Supplier Data Analyst

Glen Callum Associates Ltd
Hinckley
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist – Cost Engineering (FinOps)

Data Scientist

Legal Counsel – AI and Machine Learning

Lead Data engineer

Statistics & Data Science Innovation Hub Principal Data Scientist

Data Analyst

Procurement & Supplier Data Analyst

Salary: £35-40k + Monday-Friday + 28 days holiday (incl.Bank Holidays), rising to 30 days + Pension + Staff Discount

Location: Office based in Leicestershire

Ideal locations include Nuneaton, Hinckley, East Shilton, Bedworth, Atherstone, Market Bosworth, Whetstone, Lutterworth, Coventry, Rugby, Tamworth, Leicester, Oadby

Our client, a market-leading organisation in the UK automotive aftermarket, is seeking a Procurement & Supplier Data Analyst to join its purchasing team.This opportunity suits data-driven professionals with advanced Excel skills, and exposure to procurement and supplier data who want to make a real commercial impact.

This role suits those who enjoy turning raw data into insight, thrive on problem-solving, and seek to influence supplier strategy in a business with decades of experience supporting a wide network of independent retailers.

The Role
  • Use advanced Excel to evaluate supplier performance, pricing, and product range opportunities.
  • Interpret supplier data and purchasing trends to support strategic procurement direction.
  • Support the end-to-end purchasing process across multiple product categories.
  • Collaborate with colleagues on forecasting, stock management, and demand planning.
  • Deliver supplier performance reviews, uncover cost savings, and improve quality/service.
  • Support supplier negotiations with data-backed insight.
The Candidate
  • Strong data-driven skills with high-level Excel proficiency (pivot tables, lookups, data modelling, dashboards).
  • Experience working with procurement, purchasing, or supply chain data.
  • Industry background in automotive parts, industrial distribution, commercial vehicle, off-highway, agricultural machinery, or other distribution-based sectors (e.g.builders/plumber's merchants).
  • Commercially aware with excellent communication and presentation skills.
  • ERP / procurement systems experience desirable.
  • Detail-oriented, proactive, and skilled at using data to support procurement strategies.

This role offers the chance to develop within a forward-thinking business while applying analytical skills to positively shape profitability and supplier performance.

Apply in Confidence

Send your CV to Kayleigh Bradley, Senior Recruiter at Glen Callum Associates Ltd.

For a confidential chat, call Kayleigh directly on .

Job Reference: 4277KBA - Procurement & Supplier Data Analyst

Glen Callum Associates is committed to creating diverse and inclusive workplaces.We welcome applications from all qualified candidates regardless of gender, age, ethnicity, disability, sexual orientation, or background.We believe that a variety of perspectives makes a team stronger and a workplace better.If you need any adjustments during the recruitment process, please let us know—we're here to support you


#J-18808-Ljbffr

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.