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- Tasks: Conduct economic and statistical analyses to support life sciences research.
- Company: Leading consulting firm in Greater London with a focus on impactful research.
- Benefits: Competitive salary, flexible working arrangements, and collaborative environment.
- Why this job: Join a diverse team and make a real difference in health economics.
- Qualifications: Relevant degree and programming skills in R and SAS required.
- Other info: Opportunity for growth in a dynamic and supportive workplace.
The predicted salary is between 36000 - 60000 £ per year.
A leading consulting firm in Greater London seeks an Analyst to perform economic and statistical analyses supporting life sciences. Candidates should possess a relevant degree and skills in programming languages like R and SAS. This role offers the opportunity to work collaboratively in a diverse environment focused on impactful research, with benefits including a competitive salary and flexible working arrangements.
Health Economics Analyst: Data-Driven Value & Policy in London employer: Analysis Group
Contact Detail:
Analysis Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Health Economics Analyst: Data-Driven Value & Policy in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the health economics field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your programming projects in R and SAS. We all know that actions speak louder than words, so let your work do the talking during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. We want you to feel confident discussing your analytical skills and how they apply to life sciences.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re here to help you navigate the process and make sure you stand out in this competitive field.
We think you need these skills to ace Health Economics Analyst: Data-Driven Value & Policy in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant degree and any experience with economic and statistical analyses. We want to see how your skills in programming languages like R and SAS can shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for life sciences and how you can contribute to impactful research in our diverse environment.
Showcase Your Analytical Skills: In your application, don’t forget to mention specific projects or experiences where you've used your analytical skills. We love seeing real examples of how you've tackled data-driven challenges!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Analysis Group
✨Know Your Numbers
Brush up on your economic and statistical analysis skills. Be prepared to discuss specific projects where you've used R or SAS, and how your analyses impacted decision-making. This shows you can apply your knowledge practically.
✨Research the Firm
Dive into the consulting firm's recent projects and their focus areas in life sciences. Understanding their work will help you tailor your answers and demonstrate genuine interest in their mission and values during the interview.
✨Showcase Collaboration Skills
Since this role emphasises working in a diverse environment, think of examples where you've successfully collaborated with others. Highlight your ability to communicate complex data insights clearly to non-technical stakeholders.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Practice articulating your thought process when faced with data challenges, and be ready to explain how you would approach real-world issues in health economics.
