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- Tasks: Analyse data to support pricing and marketing decisions in the automotive industry.
- Company: Join a leading automotive parts supplier making impactful business decisions.
- Benefits: Enjoy competitive salary, enhanced pension, healthcare, and hybrid working options.
- Why this job: Shape real business strategies while developing your data analysis skills in a dynamic environment.
- Qualifications: Experience in data analysis with strong skills in Excel and Google Workspace required.
- Other info: Office-based in Hemel Hempstead, easily commutable from surrounding areas.
The predicted salary is between 28800 - 48000 £ per year.
Social network you want to login/join with:
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Client:
Location:
Dunstable, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
50998d0fa16a
Job Views:
19
Posted:
12.08.2025
Expiry Date:
26.09.2025
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Job Description:
Do you love working with data and want to help shape real business decisions?
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
- Salary – competitive
- 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 You’ll Be Doing
- Support pricing and market insights for both the UK & France:Benchmark competitorsTrack new-to-range productsMaintain 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 teams
What We’re Looking For
- Proven experience handling and analysing product or pricing data
- 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
- Automotive industry knowledge a bonus, but not essential
- Strong attention to detail, communication, and problem-solving skills
- Comfortable engaging with senior stakeholders and adapting in a fast-paced team
Ready to Apply?
Send your CV to Kayleigh Bradley, Senior Recruiter at Glen Callum Associates, at [emailprotected] , or give Kayleigh a call at 07908 893621 for more information.
Job Reference: Data Analyst – Automotive 4269KB
Take the next step in your career—apply today!
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Data Analyst – Automotive Industry employer: Glen Callum Associates
Contact Detail:
Glen Callum Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – Automotive Industry
✨Tip Number 1
Familiarise yourself with the automotive industry and its key players. Understanding market trends and competitor strategies will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your data analysis skills, particularly in Microsoft Excel and Google Sheets. Being able to showcase your proficiency in these tools during discussions can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss how you've used data to influence business decisions in previous roles. Having specific examples ready will show your potential employer that you can add value to their team.
✨Tip Number 4
Network with professionals in the automotive sector. Engaging with industry contacts can provide insights into the company culture and expectations, which can be invaluable during the interview process.
We think you need these skills to ace Data Analyst – Automotive Industry
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in pricing and marketing analytics. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and the automotive industry. Mention specific skills like proficiency in Microsoft Office and BI tools, and how they relate to the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on projects involving data analysis or market insights, include them in your application. Briefly describe your role, the tools you used, and the impact of your work on business decisions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Glen Callum Associates
✨Know Your Data Tools
Familiarise yourself with Microsoft Office, Google Workspace, and any BI tools mentioned in the job description, like Tableau or Google BI. Be prepared to discuss your experience with these tools and how you've used them to analyse data effectively.
✨Understand the Automotive Industry
While automotive knowledge isn't essential, having a basic understanding of the industry can set you apart. Research current trends, key players, and challenges in the automotive sector to demonstrate your interest and initiative.
✨Prepare for Stakeholder Engagement
Since the role involves engaging with senior stakeholders, practice articulating your insights clearly and confidently. Think of examples where you've successfully communicated complex data findings to non-technical audiences.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific instances where you've tackled data-related challenges. Highlight your analytical thinking and how you approached problem-solving in previous roles, especially in pricing or marketing analytics.
