At a Glance
- Tasks: Analyse production data and develop dashboards to enhance manufacturing efficiency.
- Company: Join the innovative BMW Group in Oxford for a hands-on placement.
- Benefits: Gain real-world experience, mentorship, and a chance to drive operational improvements.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Be part of a dynamic team and make an impact with data-driven insights.
- Qualifications: Pursuing a degree in Data Science or related field with strong analytical skills.
Production planning and control in Oxford, starting 01.10.2025.
Data Analytics - Placement Year
NO NEED TO PREDICT THE FUTURE. YOU CAN CREATE IT.
SHARE YOUR PASSION.
We believe in creating an environment where our interns really can learn by doing and where they are given their own areas of responsibility right from the start of their time with us. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.
We are seeking a motivated and analytical Data Analytics Intern to join our team in the Vehicle Body Shop Manufacturing division. In this role, you will work closely with the Production Steering team to leverage data analytics and emerging technologies like AI to drive operational improvements, cost optimisation, and enhance manufacturing efficiency.
MINI Plant Oxford – Data Analytics Production Steering – 13-Month Placement (July 2026)
What awaits you?
- Analyse production data from the vehicle body shop to identify trends, bottlenecks, and opportunities for optimisation.
- Develop dashboards and visualisations to provide real-time insights into key production metrics.
- Collaborate with cross-functional teams to understand manufacturing processes and data requirements.
- Implement statistical models and machine learning techniques to predict production outcomes and enable proactive decision-making.
- Recommend data-driven and/or AI powered actionable insights and solutions in clear and concise reports to improve production planning, resource allocation, and quality control.
What should you bring along?
- Pursuing a degree in Data Science, Analytics, Industrial Engineering, Computer Science or a related technical field
- Strong analytical and problem-solving skills with experience in data manipulation, analysis, and visualization
- Attention to detail and project management skills
- Proficiency in using data analysis tools such as SQL, Python, R, Tableau, or Power BI is recommended
- Knowledge of statistical methods and machine learning algorithms
- Excellent communication and presentation skills to effectively convey insights
- Ability to work in a fast-paced, collaborative environment and adapt to changing priorities
- Passion for driving operational improvements through data-driven decision-making
What do you need to do now?
If you apply, the next stages of the recruiting process include online testing, an in-person assessment centre, and then a virtual interview with the hiring manager.
Please note:
To be eligible for this position, you must be returning to your studies, for a minimum of 6 months, after completion of this placement. You must be able to provide proof of your legal right to work in the UK.
We are committed to promoting equal opportunities in employment and job applicants will receive equal treatment regardless of disability, age, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, gender, sex or sexual orientation.
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.
Closing date for applications: Sunday 30th November 2025
Data Analytics - Placement Year in Oxford employer: BMW Group
At BMW Group, we pride ourselves on fostering a dynamic and inclusive work environment where interns are empowered to take ownership of their projects from day one. Located in Oxford, our Data Analytics - Placement Year offers a unique opportunity to collaborate with industry experts, gain hands-on experience in data-driven decision-making, and contribute to innovative solutions that enhance manufacturing efficiency. With a strong focus on employee growth and development, we provide the tools and support necessary for you to thrive in your career while making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics - Placement Year in Oxford
✨Tip Number 1
Get to know the company! Research MINI and their production processes. This will help you tailor your conversations during interviews and show that you're genuinely interested in what they do.
✨Tip Number 2
Practice your data storytelling skills. You’ll need to explain complex data insights clearly, so work on presenting your findings in a way that’s engaging and easy to understand.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team.
We think you need these skills to ace Data Analytics - Placement Year in Oxford
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data analytics shine through! We want to see how excited you are about the role and how you can contribute to our team. Share any relevant projects or experiences that fuel your passion.
Tailor Your CV:Make sure your CV is tailored to the job description. Highlight your skills in data manipulation, analysis, and visualisation, and don’t forget to mention any tools like SQL or Python that you’re proficient in. We love seeing how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this placement. Be specific about your experiences and how they relate to the role. We appreciate clear and concise communication, so keep it engaging and to the point!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you’re serious about joining our team. We can’t wait to see what you bring to the table!
How to prepare for a job interview at BMW Group
✨Know Your Data Tools
Make sure you’re familiar with the data analysis tools mentioned in the job description, like SQL, Python, and Tableau. Brush up on your skills and be ready to discuss how you've used these tools in past projects or coursework.
✨Showcase Your Analytical Skills
Prepare examples of how you've tackled data-related problems before. Think about specific instances where you identified trends or optimised processes using data. This will demonstrate your analytical mindset and problem-solving abilities.
✨Understand the Manufacturing Process
Do some research on the vehicle body shop manufacturing process. Understanding the basics will help you ask insightful questions during the interview and show that you're genuinely interested in the role and the company.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You’ll need to convey your findings effectively, so focus on clarity and conciseness. Consider doing mock interviews with friends to refine your communication skills.
