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- Tasks: Collaborate on exciting microeconomics projects using big data and statistical methods.
- Company: Leading academic institution with a focus on public economics.
- Benefits: Pension scheme and fantastic development opportunities.
- Why this job: Dive into data analysis and make a real impact in economics research.
- Qualifications: Bachelor’s degree in Economics or related field, strong quantitative skills, R or Stata experience.
- Other info: Join a dynamic team and enhance your career in a supportive environment.
The predicted salary is between 28800 - 43200 £ per year.
A leading academic institution is seeking a Research Assistant for its Public Economics Programme. The role involves collaboration with researchers on applied microeconomics projects, utilizing big data and statistical methods.
Candidates should have a Bachelor’s degree in Economics or a related field and strong quantitative, data analysis, and programming skills, particularly with R or Stata.
Benefits include a pension scheme and excellent development opportunities.
Public Economics Research Assistant – Data & Causal Analysis employer: The London School of Economics and Political Science (LSE)
Contact Detail:
The London School of Economics and Political Science (LSE) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Public Economics Research Assistant – Data & Causal Analysis
✨Tip Number 1
Network like a pro! Reach out to your professors, classmates, or anyone in the field. They might know about openings or can even put in a good word for you. Don't underestimate the power of connections!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using R or Stata. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of applied microeconomics. Be ready to discuss how you've used big data in past projects. We want to see your passion and expertise shine through!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us. Don’t miss out on this opportunity!
We think you need these skills to ace Public Economics Research Assistant – Data & Causal Analysis
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the role. We want to see your strong quantitative and data analysis skills shine through, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Public Economics Research Assistant role. Share your passion for applied microeconomics and any specific projects you've worked on that relate to big data.
Showcase Your Technical Skills: Since programming skills in R or Stata are key for this position, make sure to mention any relevant projects or coursework. We love seeing how you’ve applied these skills in real-world scenarios!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at The London School of Economics and Political Science (LSE)
✨Know Your Data
Make sure you brush up on your data analysis skills, especially with R or Stata. Be prepared to discuss specific projects where you've used these tools, and think about how you can apply them to the role in Public Economics.
✨Understand the Programme
Familiarise yourself with the Public Economics Programme and its recent projects. This will not only show your interest but also help you ask insightful questions during the interview, demonstrating your enthusiasm for the role.
✨Quantitative Skills Showcase
Prepare to showcase your quantitative skills. Think of examples where you've successfully applied statistical methods to solve problems. Be ready to explain your thought process and the impact of your work.
✨Collaborative Mindset
Since the role involves collaboration, be ready to discuss your experience working in teams. Highlight any instances where you contributed to group projects, particularly in an academic or research setting, to show you’re a team player.
