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

Apply Now

Data Analyst

Felden
4 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst - Automotive Industry

Do you love working with data and want to help shape real business decisions? Do you have a background in automotive parts or a passion for the automotive aftermarket?

Join a dynamic, well-established automotive parts supplier and play a key role in marketing, pricing, and product data analysis across the UK and French markets.

This is a fantastic opportunity for someone with experience in data analysis, pricing, product, or marketing analytics, especially if you're looking to deepen your expertise in a commercial environment.

What's in It for You

££Competitive Salary
Enhanced pension, healthcare, and life assurance
25 days holiday + bank holidays
Excellent training and development support
Hybrid working after probation (3 days office / 2 days home)Location

Office-based in Hemel Hempstead (Mon-Fri).

Easily commutable from:
St Albans, Berkhamsted, Harpenden, Luton, Watford, Dunstable, Leighton Buzzard, WGC, Amersham, Borehamwood, Wembley, Harrow, and surrounding areas.

What We're Looking For

Proven experience handling and analysing product data or pricing data
Previous automotive experience or a passion for the automotive aftermarket is essential
Skilled in Microsoft Office & Google Workspace (Excel/Sheets essential)
Familiarity with Tableau, Google BI, or other BI tools (training available)
Able to create clear, insightful reports and dashboards
Strong attention to detail, communication, and problem-solving skills
Comfortable engaging with senior stakeholders and adapting in a fast-paced teamWhat You'll Be Doing

Support pricing and market insights for both the UK & France:
Benchmark competitors
Track new-to-range products
Maintain and improve reporting tools
Collaborate with pricing and data teams on customer pricing and rebates
Analyse marketing campaigns, loyalty programmes, and social media data
Monitor industry trends, competitor activities, and customer feedback
Present key insights to senior leadership and commercial teamsReady to Apply?

Send your CV to Kayleigh Bradley, Senior Recruiter at Glen Callum Associates, at , or give Kayleigh a call at (phone number removed) for more information.

Job Reference: Data Analyst - Automotive 4269KBA

Take the next step in your career-apply today

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.