At a Glance
- Tasks: Support Used Truck sales with data analysis and proactive administration.
- Company: Join Daimler Truck UK, a leader in innovative transportation solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting career path with a focus on learning and development.
- Why this job: Be part of a dynamic team driving sustainable transport solutions.
- Qualifications: University degree, strong IT skills, and proficiency in Power BI and Excel.
The predicted salary is between 36000 - 60000 £ per year.
About us
At Daimler Truck UK Ltd we deliver Sales and Marketing for all Daimler Truck UK products in the UK. These include:
- Mercedes-Benz Trucks: renowned for their quality, reliability, and innovative features. They cater to various industries, from logistics and construction to long-haul transportation. Mercedes-Benz trucks are designed for efficiency, safety, as well as delivering driver comfort.
- FUSO Trucks: FUSO, a subsidiary of Daimler, specializes in light and medium-duty trucks. They offer practical solutions for urban delivery, short-haul transport, and vocational applications. FUSO trucks are known for their agility, fuel efficiency, and low environmental impact.
We are dedicated to sustainable transportation solutions to provide fuel efficiency, emission reduction and safety across our ranges.
Sitting within our Used Trucks Finance and Administration team here at Daimler Trucks UK, we have an exciting new opportunity for a Used Truck Analyst waiting just for you. Reporting into the Team Leader, you will support Used Truck sales by providing proactive sales administration support and data analysis and coordination of the project to implement and integrate the IUCCA system in the UK.
More about the role:
- Capture details of vehicle returns and ensure they go through the inspection and recharge process in a timely manner, while resolving potential issues that may delay this process.
- Forecast and communicate future return volumes.
- Preparation of daily and monthly stock reports.
- Working with Technical Specialist to calculate and invoice recharges for late return fees, excess mileage and damage costs and respond to the related queries in a timely manner.
- Data analysis and reporting of all topics relating to Used sales.
- Implement ongoing automation and report improvements.
- Support and cover for the other roles within the team to help with high workloads, holidays and sickness.
- Work with management to coordinate the project work required to implement new sales system, ensure processes are mapped and documented, ensure system interfaces are operational.
About you:
The ideal candidate will hold a university degree and bring a high level of energy, curiosity, and enthusiasm to learn attributes we value even more than prior experience. Strong IT capabilities are essential, with a background in finance considered advantageous. Candidates should have advanced proficiency in Power BI, including DAX, Power Query, and Power Pivot, as well as the ability to work confidently with SQL databases to query and structure financial data effectively. Mastery of Excel is required, particularly in financial modelling, VBA macros, and the use of Power Automate.
This is a full time hybrid role, where you would be required to work from our office based in Barnsley.
What’s next?
Once you click apply, we’ll take you through to the Daimler Truck careers portal. Here, you’ll need to complete a short application form, attach your current CV. Simple.
Don’t forget to follow us on LinkedIn @ Daimler Trucks UK Ltd.
Truck Analyst in Barnsley employer: Daimler Truck UK
Daimler Truck UK is an excellent employer, offering a dynamic work culture that values collaboration and innovation. As a part-time Senior Buyer, you will enjoy the flexibility of working days while engaging in strategic negotiations that directly impact the business. With competitive salaries and a strong focus on professional development, this role provides meaningful opportunities for growth within a leading company in the automotive industry.
StudySmarter Expert Advice🤫
We think this is how you could land Truck Analyst in Barnsley
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Daimler Truck UK!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Truck Analyst at Daimler Truck UK.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Daimler Truck UK.
✨Apply Directly through Our Website
When you find a suitable opening like Truck Analyst at Daimler Truck UK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Truck Analyst in Barnsley
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Daimler Truck UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Daimler Truck UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Daimler Truck UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Daimler Truck UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
