At a Glance
- Tasks: Analyse vehicle data and assist in pricing for our fleet.
- Company: Join a dynamic finance team at Scot Group in Exeter.
- Benefits: Enjoy a pension scheme, gym access, and discounts on car hire.
- Other info: Flexible role with opportunities for growth and team collaboration.
- Why this job: Kickstart your finance career while working with vehicles you love.
- Qualifications: A keen interest in numbers and vehicles; Excel skills are a plus.
The predicted salary is between 25000 - 30000 £ per year.
The key purpose of the role is to provide accurate data regarding the purchasing and re-marketing of our fleet. Data will be sourced from the used vehicle market via market research and analysis, along with use of manufacturer websites. The role will ideally suit an analytical individual who has a keen interest in motor vehicles and works well as part of a team. We are happy to consider candidates who have recently left education, have a keen interest in numbers and are looking to take their first step in a finance team.
Main Duties:
- Measuring & analysing used vehicle online pricing
- Analysis of Industry Guide vehicle data
- Error and logic checking of retail pricing documents
- Identifying changes in used retail information
- Miscellaneous vehicle searches on an ad-hoc basis
- General data housekeeping
- Assist with the management of vehicle pricing files
- Run sense checks on pricing files to ensure accuracy at all times
- Assisting Pricing Team with Remarketing Enquiries as required
- Additional ad-hoc duties as given by Line Manager
Special Working Conditions:
37.5 hours per week Monday to Friday
Company Responsibilities:
- To undertake any additional duties at the request of your Line Manager, that are deemed to be within your competency levels.
- To adhere to all Scot Group policies and procedures.
- To undertake any training and development activities at the request of your Line Manager.
- Keep safe and secure, all company assets.
- Contribute fully as a Team Member, assisting others in their roles as requested by Line Manager.
Skills, Experience and/or Qualifications Required:
- Ideally good working knowledge of Vehicle Manufacturers, Models, Derivatives & Features.
- Ideally a good knowledge of MS applications in particular Excel.
- Ability to analyse data and identify errors or trends.
- Ability to build an understanding of Scot Group internal and bespoke programs.
- Will have, or be able to learn quickly, comprehensive understanding of SwitchFleet.
- Must be open-minded and flexible within the role.
- Applicant must demonstrate flexibility to deal with, and adapt to, an ever-changing business environment.
Company Benefits:
- Contribution to Group Personal Pension Scheme.
- A long Service Award scheme.
- Free On-site gym.
- Cycle to work scheme.
- Discounted car hire rates.
- Switch savings Discounts at various retail shops/supermarkets.
- Two paid staff events across the year.
- Free On-site parking.
- Close to bus & rail routes.
Fleet Data Administrator in London employer: Switch
At Switch Car Rental, we pride ourselves on being an excellent employer, offering a supportive and friendly work environment in our Head Office located in Exeter. With flexible working hours, generous benefits including 30 days holiday, free onsite gym, and opportunities for employee growth, we ensure that our team members feel valued and motivated. Join us to be part of a dynamic family business where your contributions truly matter and where we celebrate success together.
StudySmarter Expert Advice🤫
We think this is how you could land Fleet Data Administrator in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Switch when you're aiming for that entry-level role.
✨Join Data Science Meetups
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We think you need these skills to ace Fleet Data Administrator in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Switch, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Switch aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Switch
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
