At a Glance
- Tasks: Build predictive models and analyse data to drive impactful strategies.
- Company: Cathcart Associates Group Ltd, a forward-thinking firm in Edinburgh.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and community improvement.
- Why this job: Make a real difference in communities through data-driven insights.
- Qualifications: Experience in Python or R, SQL, and strong analytical skills.
The predicted salary is between 51750 - 63250 £ per year.
Cathcart Associates Group Ltd in Edinburgh is seeking a Quantitative Research Analyst to help build a new Insight function focused on producing strong quantitative evidence to inform strategy and improve outcomes for people and communities.
You will develop predictive models, apply Bayesian methods, and analyse time-series data using Python or R and SQL, translating complex findings for non-technical colleagues in a hybrid, 4-days-in-office arrangement.
Quantitative Research Analyst - Hybrid Impact Role employer: Cathcart Associates Group Ltd
At Cathcart Associates Group Ltd, we pride ourselves on fostering a collaborative and dynamic work environment that empowers our employees to thrive. With a strong focus on professional development and a commitment to supporting our team members through meaningful projects, particularly in the vibrant city of Liverpool, we offer an excellent opportunity for growth and engagement. Join us to be part of a transformative journey where your contributions are valued and recognised.
Contact Details:
Cathcart Associates Group Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Research Analyst - Hybrid Impact Role
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We think you need these skills to ace Quantitative Research Analyst - Hybrid Impact Role
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
