At a Glance
- Tasks: Lead a dynamic team in transforming data management and analytics at Mercedes-Benz Financial Services.
- Company: Join a diverse and inclusive team at Mercedes-Benz Financial Services.
- Benefits: Enjoy competitive salary, flexible benefits, and wellbeing resources.
- Other info: Embrace a culture of appreciation and respect with excellent career development opportunities.
- Why this job: Make a real impact on data-driven decision-making in a leading financial services company.
- Qualifications: Strong skills in data management, BI tools, and leadership experience required.
The predicted salary is between 65000 - 78000 £ per year.
Job Description - Enterprise Data Owner, Team Lead & Senior Business Intelligence (BI) Developer (MER00046LS)
- Description
- Job Title: Enterprise Data Owner, Team Lead & Senior Business Intelligence (BI) Developer
About us
At Mercedes-Benz Financial Services, our employees are at the heart of our business.
Our colleagues provide a range of financial solutions designed around the changing needs of our diverse customers.
It doesn’t matter the colour of your skin, the beliefs you value, the people you love or the tattoos you wear, we support you for being you.
Through the doors of Mercedes-Benz Financial Services, you will find a passionate team working to support our customers and our colleagues.
We ensure that everyone has an equal opportunity to learn and develop.
We want to celebrate your individuality, embrace your personality and welcome you into our culture.
It’s the differences of our colleagues that enable us to thrive.
We believe our backgrounds, skills and cultures contribute to our shared culture and help us deliver outstanding Customer Experience.
Inclusion is the driving force behind our ethos.
At MBFS, we are proud to be a Menopause Friendly Accredited Employer, reflecting our ongoing commitment to creating a supportive and inclusive workplace.
We offer wellbeing support options and resources for colleagues experiencing menopause and to those who are supporting someone through it.
How you’ll play your part
In this role, you will be central to our data transformation journey.
You will lead the Data & MI team, own key data platforms, and help move MBFS from a legacy data warehouse environment to a modern Microsoft Azure-based data lake architecture.
You will shape how data is governed, managed and used across the business, creating trusted reporting, stronger financial insight and improved decision-making.
The role combines people leadership, hands‑on BI expertise, data ownership and business partnering.
You will bring a strong customer focus, using data to solve real business problems and improve the quality, speed and relevance of insight delivered to Finance and wider MBFS stakeholders.
You will also challenge legacy processes, improve data quality and lead the creation of valued, future‑ready reporting and analytics.
- Main Accountabilities
- Lead and develop the Data & MI team, ensuring the team has the right skills, priorities and delivery focus across data governance, quality assurance, analysis, Cognos reporting and Power BI development.
• Manage MI team resources, including
- Data Quality Assurance
- Data Governance
- Report Developers
- Own and continuously improve the data warehouse and data lake environment, ensuring business‑critical reporting platforms remain stable, trusted and aligned to the future data architecture:
- Existing Cognos data warehouse reports, interfaces and statements
- Existing SQL-based data warehouse
- Power BI and Databricks reporting catalogue
- Deliver BI analytics, dashboards and reports that provide high‑quality Finance insight, support regulatory and risk reporting commitments, and enable better decision‑making across MBFS:
- Migration of reports from the legacy data warehouse to the new data lake
- Creation of a suite of Finance dashboards
- Ensure regulatory and risk reporting commitments are met
- Support reporting delivered by wider business data analysts
- Introduce advanced analytics within MBFS.
- Act as Lead Data Steward, embedding data governance standards, improving data quality, supporting user certification and acting as an escalation point for data issues:
- Provide business expertise, acting as a Subject Matter Expert (SME) with contextual knowledge of the data used to enable key business processes
- Enforce data governance policies created by the Data Governance Committee
- Be accountable for user certification of designated business data usage
- Provide oversight and reporting on data quality
- Acts as an escalation point for Data Stewards
- Collaborates with front‑line data stewards to ensure best practices are being followed
- Escalate data issues to the Enterprise Data Steward and Data Governance Committee for resolution.
- Act as Enterprise Data Owner, shaping the MBFS data vision, tracking data business benefits and influencing future tooling and capability decisions:
- Data business case tracking
About you
- Technical skills and experience
- Good understanding of data models, schemas and reporting structures.
- Strong DAX capability, including measures, calculations, KPIs and common data entities.
- Working knowledge of Databricks, Azure Data Factory and Microsoft Azure data lakes.
- Strong SQL capability, including queries, stored procedures and integration processes.
- Advanced Microsoft Excel skills.
- Experience using Power Automate, Power Pivot, Microsoft Teams, Share Point and One Drive to improve operational efficiency.
- Understanding of database management systems and ETL frameworks.
- Strong understanding of BI concepts, best practice and reporting governance.
- Cognos experience would be advantageous but is not essential.
- Business skills and behaviours
- Customer‑focused mindset with the ability to create dashboards and insights that solve meaningful business problems.
- Strong communication, negotiation and influencing skills, with the confidence to lead stakeholders through complex data topics.
- Clear understanding of how data quality affects business performance, risk management and decision‑making.
- Experience of data quality principles, tools and improvement approaches.
- Experience in business process improvement, quality assurance or continuous improvement.
- Strong understanding of business processes and how data enables operational and financial outcomes.
- Appreciation of data management as a business discipline, not only a technical function.
- Understanding of OLAP, business intelligence technologies and reporting concepts.
- Ability to translate technical data concepts into clear business insight for non‑technical audiences.
- Strong working knowledge of available data sources and how they connect across business processes.
- Collaborative working style with the ability to build cooperation across business stakeholders, analysts and technical teams.
What’s in it for you?
We’ll offer you a competitive salary and discretionary bonus structure.
We also hope you’ll love our products as much as we do, with access to our colleague car schemes.
On top of that, you’ll be able to join our pension scheme and you’ll get a flexible benefit pot that can be used to find the benefits that are right for you.
We’re here to support you – we offer access to colleague wellbeing resources, including an Employee Assistance Programme, Mental Health First Aiders and the Inclusion Advocates as well as flexible opportunities to support work life balance.
We’ll also encourage your development, with the training and knowledge you need to reach your potential.
Through the doors of Mercedes-Benz Financial Services, you’ll find a passionate team working to put our customers first.
We know that to keep this team motivated, we need to ensure that everyone has equal opportunity to learn and develop.
We celebrate a culture of appreciation and respect, where everyone is valued for who they are.
We believe our backgrounds, experiences and cultures contribute to our shared experience and shape who we are and what we do.
The diversity of our colleagues reflects the diversity of our customers.
This diversity is the driving force behind our ideas.
What’s next?
Whilst all applications are carefully considered, we are only able to progress applications from candidates who have the right to work in the United Kingdom.
We care about your personal data.
The General Data Protection Regulation provides you with more control and by submitting an application to us, we consider this to be an agreement to process your personal data in support of our recruitment and selection process.
Data categories that we process in relation to your application are the ones that you provided as part of the application process.
We process your personal data in relation to the application, in accordance with the legal requirements.
Recipients of your personal data within our company are the managers of the specialist unit in charge of filling the position and the responsible colleagues from HR.
Data will be held within our secure application tracking system called Taleo – you’ll be given access to a candidate zone in this system where you can monitor and manage your application and see status updates.
We will communicate with you, by email or phone throughout the recruitment process so that we can keep you updated and inform you of your progress through the recruitment process.
You can also seek ‘job alerts’ once you are registered in Taleo and it’s possible your details may be returned in searches we conduct for new positions and we may contact you by email to let you know about them.
We limit the storage of your data to the necessary period.
Contact us at careers@mercedes-benz. com for further information.
Contact us at careers@mercedes-benz. com for further information.
- Organization
- #J-18808-Ljbffr
Enterprise Data Owner, Team Lead & Senior Business Intelligence (BI) Developer in Milton Keynes employer: Daimler Trucks North America LLC
Mercedes-Benz Financial Services is an exceptional employer that values innovation and teamwork, providing a dynamic work environment in the heart of the UK. Employees benefit from a strong culture of professional development, competitive remuneration, and the opportunity to work with cutting-edge technology in the automotive finance sector. With a commitment to employee well-being and a focus on delivering outstanding customer solutions, this role offers a meaningful chance to contribute to a prestigious brand while advancing your career.
Contact Details:
Daimler Trucks North America LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Data Owner, Team Lead & Senior Business Intelligence (BI) Developer in Milton Keynes
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Daimler Trucks North America LLC!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Enterprise Data Owner, Team Lead & Senior Business Intelligence (BI) Developer in Milton Keynes
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Daimler Trucks North America LLC, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Daimler Trucks North America LLC
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Daimler Trucks North America LLC’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
