At a Glance
- Tasks: Analyse complex datasets to develop traffic and revenue forecasts.
- Company: Leading global economic research firm with a focus on transport advisory.
- Benefits: Private healthcare, flexible working, and enhanced parental leave.
- Other info: Hybrid role based in London or remotely across the UK.
- Why this job: Join a dynamic team and make an impact in transport economics.
- Qualifications: At least 2 years' experience and proficiency in Python or Excel.
The predicted salary is between 40000 - 48000 £ per year.
A leading global economic research firm is seeking an Economist in their Transport Advisory Team based in London or remotely in the UK. The role focuses on developing traffic and revenue forecasts through analysis of complex datasets.
The ideal candidate will have at least 2 years' experience, proficiency in data manipulation with Python or Excel, and strong communication skills.
Benefits include private healthcare, flexible working, and enhanced parental leave.
Transport Economist - Forecasting & Data Analytics (Hybrid UK) employer: Oxford Economics
As a leading global economic research firm, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. With a strong focus on professional development, we offer numerous growth opportunities alongside competitive benefits such as private healthcare, flexible working arrangements, and enhanced parental leave, making us an excellent employer for those seeking meaningful and rewarding careers in the heart of London or remotely across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Transport Economist - Forecasting & Data Analytics (Hybrid UK)
✨Tip Number 1
Network like a pro! Reach out to professionals in the transport and economic sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your data analysis work with Python or Excel. This will help you stand out during interviews and demonstrate your expertise in traffic and revenue forecasting.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your communication skills. Being able to clearly articulate your thoughts on complex datasets is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Transport Economist - Forecasting & Data Analytics (Hybrid UK)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with data manipulation, especially if you’ve used Python or Excel. We want to see how you can turn complex datasets into clear insights, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to traffic and revenue forecasting. It helps us see how you fit into our Transport Advisory Team.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s relevant. We appreciate strong communication skills, so let your writing reflect that!
Apply Through Our Website:We encourage you to apply directly 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!
How to prepare for a job interview at Oxford Economics
✨Know Your Data
Make sure you brush up on your data manipulation skills, especially with Python and Excel. Be prepared to discuss specific projects where you've used these tools to analyse complex datasets, as this will show your practical experience and understanding of the role.
✨Understand the Transport Sector
Familiarise yourself with current trends and challenges in the transport industry. Being able to discuss recent developments or case studies will demonstrate your genuine interest and knowledge, making you stand out as a candidate.
✨Practice Your Communication Skills
Since strong communication is key for this role, practice explaining complex data insights in simple terms. You might be asked to present your findings during the interview, so being clear and concise will showcase your ability to convey information effectively.
✨Prepare Questions
Have a few thoughtful questions ready about the company’s approach to forecasting and data analytics. This not only shows your enthusiasm for the role but also helps you gauge if the company culture aligns with your values and career goals.
