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- Tasks: Support data insights and thought leadership by designing surveys and analysing datasets.
- Company: Leading economic forecasting firm based in London.
- Benefits: Hands-on experience, significant growth potential, and a collaborative work environment.
- Why this job: Make an impact with your analytical skills while working on exciting projects.
- Qualifications: Strong analytical skills and a bachelor’s degree in a relevant field.
- Other info: Entry-level role with excellent opportunities for career advancement.
The predicted salary is between 28800 - 43200 £ per year.
A leading economic forecasting firm in London seeks a detail-oriented Research Analyst to support data insights and thought leadership initiatives. Candidates will assist in designing surveys, analyzing datasets, and delivering key insights to clients. This entry-level role offers hands-on experience and significant growth potential, requiring strong analytical skills and a bachelor’s degree in a relevant field.
Data Insights Research Analyst — Thought Leadership in City of London employer: Oxford Economics
Contact Detail:
Oxford Economics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insights Research Analyst — Thought Leadership in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the economic forecasting field on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for interviews by brushing up on your analytical skills. Be ready to discuss how you would approach designing surveys and analysing datasets. Show us your thought process!
✨Tip Number 3
Don’t just apply anywhere; focus on firms that align with your career goals. We recommend checking out our website for tailored opportunities that match your skills and interests.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind. It shows your enthusiasm and professionalism, which we love to see!
We think you need these skills to ace Data Insights Research Analyst — Thought Leadership in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Data Insights Research Analyst role. We want to see how your background fits into our thought leadership initiatives!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data insights and how you can contribute to our team. We love seeing enthusiasm and a personal touch.
Showcase Your Analytical Skills: Since this role requires strong analytical skills, be sure to mention any relevant projects or coursework. We’re keen to see how you’ve tackled data analysis in the past and what insights you’ve drawn from it.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Oxford Economics
✨Know Your Data
Make sure you brush up on your data analysis skills before the interview. Familiarise yourself with common analytical tools and techniques, as well as any relevant datasets that might be discussed. Being able to talk confidently about your experience with data will impress the interviewers.
✨Understand the Company’s Focus
Research the firm’s recent projects and thought leadership initiatives. Understanding their approach to economic forecasting and how they deliver insights to clients will help you tailor your answers and show that you're genuinely interested in the role.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the company’s methodologies, team dynamics, or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Showcase Your Analytical Mindset
During the interview, be ready to discuss specific examples of how you've approached data analysis in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses, highlighting your problem-solving skills and attention to detail.
