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- Tasks: Link data between retailers and BMW Group, enhancing sales and aftersales processes.
- Company: Join the innovative BMW Group with a supportive and flexible work culture.
- Benefits: Long-term growth opportunities, positive environment, and exciting industry-leading brands.
- Why this job: Make a real impact on customer satisfaction through data-driven insights.
- Qualifications: Degree in Business, Mathematics, or Data Analysis; experience in data projects preferred.
- Other info: Be part of a diverse team committed to equal opportunities and personal development.
The predicted salary is between 36000 - 60000 £ per year.
BMW Group UK is looking for a Retailer Data Integration Manager. As Retailer Data Integration Manager, you will be responsible for the essential linking of data between our retailer network partners and the BMW Group. Using the latest developments in digitalisation, this role will play an active part in creating a seamless OMNI channel sales and aftersales process for our customers and retailers. You will also play a very active role providing business insights from data which will drive business performance and customer satisfaction.
This role is based at Summit One campus in Farnborough, Hampshire.
What awaits you?
- Ensure that there is an effective two-way data strategy that supports the company’s customer and network requirements.
- Manage the scoping and development of key data interfaces between the BMW Group and UK Retailer Network and approved system vendors.
- Responsibility for the day-to-day operation of these key data interfaces between the BMW Group and the UK/Ireland franchised retailer network.
- Actively monitor the status of retailer network data exchanges and interfaces. Identify issues with function or performance and coordinate rectification measures.
- Effectively liaise with key dealer management system vendors, retailer network and any other significant network system suppliers.
- Supervision of inhouse and externally supplied Business Intelligence solutions.
- Apply common business tools and techniques for data analysis and data visualisation.
- Play an active role in presenting data and subsequent conclusions across the business.
- Develop materials & resources promoting correct data supply & best practice. Plan & coordinate training requirements & resources requirement for programme and system roll outs.
- Ensure all in scope data interfaces, APIs and data transfers are compliant with Group Data security policies.
- Provide updates on programme progress to relevant stakeholders across the business.
What should you bring along?
- University degree, or equivalent, preferable in Business Administration and Management, Mathematics, Data/Statistical Analysis.
- Experience of managing data or business process projects.
- Knowledge of data handling/transfer solutions including Application Programming Interfaces.
- Understanding of modern data analysis and visualisation methods, e.g. Power BI or similar.
- Experience in the automotive industry (sales, marketing) would be beneficial.
- Analytical and problem-solving skills.
- Communications skills.
CLOSING DATE: Friday 13th February 2026
If you are interested in this vacancy, please discuss with your line manager in the first instance. This vacancy is open to all staff employed on a BMW employment contract with the right to work in the UK (BMW Group, BMW Ireland, BMW Financial Services, Alphabet, Rolls Royce Motor Cars). Staff who are employed on a temporary contract with a 3rd party supplier are not eligible to apply in this instance.
With BMW Group, a career can offer long term opportunities for growth and development locally, nationally and internationally. The BMW Group invests in its employees and boasts a positive and supportive culture and flexible working environment. With prestigious offices based around the UK that provide a great place to work with good people and exciting, engaging and industry leading brands.
We are proud to be a part of the Disability Confident scheme. The scheme supports employers to make the most of the talents disabled people can bring to the workplace. 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.
Successful candidates will be required to complete background screening checks, and the offer of employment will be subject to results which we consider are satisfactory. Checks will include references, right to work, IT system Compliance Integrity Check (COIN), CV and relevant qualifications. Checks may also include criminal records, adverse financial (credit), directorships, address, internet research and/or driving licence. If you have any queries on any of these checks, please discuss with us and we will be happy to go through with you in more detail.
Retailer Data Integration Manager in Farnborough employer: Bayerische Motoren Werke Aktiengesellschaft
Contact Detail:
Bayerische Motoren Werke Aktiengesellschaft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Retailer Data Integration Manager in Farnborough
✨Tip Number 1
Network like a pro! Reach out to current or former employees at BMW Group on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into data integration topics. Brush up on your knowledge of APIs and data visualisation tools like Power BI. Showing that you're clued up will impress the hiring team!
✨Tip Number 3
Don’t just wait for job alerts! Keep an eye on our website for new openings and apply directly. It shows initiative and gives you a better chance of standing out from the crowd.
✨Tip Number 4
Practice your communication skills. As a Retailer Data Integration Manager, you'll need to explain complex data insights clearly. Mock interviews with friends can help you nail this part!
We think you need these skills to ace Retailer Data Integration Manager in Farnborough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Retailer Data Integration Manager role. Highlight your experience with data handling and any relevant projects you've managed. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a personal touch.
Showcase Your Analytical Skills: Since this role involves a lot of data analysis, be sure to mention specific tools or methods you’ve used in the past. Whether it's Power BI or other visualisation techniques, we want to know how you can contribute to our data strategy.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Bayerische Motoren Werke Aktiengesellschaft
✨Know Your Data Inside Out
As a Retailer Data Integration Manager, you'll be dealing with a lot of data. Make sure you understand the key data handling and transfer solutions, especially APIs. Brush up on your knowledge of data analysis tools like Power BI, as this will likely come up in your interview.
✨Showcase Your Problem-Solving Skills
This role requires strong analytical and problem-solving skills. Prepare examples from your past experiences where you've successfully identified issues and implemented solutions. Be ready to discuss how you can apply these skills to improve data interfaces and performance.
✨Communicate Effectively
Communication is key in this role, especially when liaising with vendors and stakeholders. Practice articulating complex data insights in a clear and concise manner. You might even want to prepare a short presentation to demonstrate your ability to convey information effectively.
✨Understand the Company Culture
Familiarise yourself with BMW Group's values and culture. They emphasise equal opportunities and a supportive work environment. Be prepared to discuss how your personal values align with theirs and how you can contribute to their positive workplace culture.
