At a Glance
- Tasks: Maintain data libraries and conduct research to produce market insights.
- Company: Rettie & Co, a leading property consultancy in Edinburgh.
- Benefits: Full-time hours and opportunity to gain an APC qualification for RICS.
- Other info: Build professional relationships while contributing to impactful projects.
- Why this job: Join a dynamic team and enhance your skills in data analysis and research.
- Qualifications: Detail-oriented with a numerical degree and experience with datasets.
The predicted salary is between 25000 - 35000 Β£ per year.
Rettie & Co in Edinburgh is looking for a Research and Consultancy Assistant to maintain data libraries and conduct primary/secondary research. You will enhance the quality of our Property Tracking System while producing market insights for clients.
Ideal candidates are detail-oriented, enjoy working with data, and excel in building professional relationships. A numerical degree and experience with datasets are desirable. The role offers full-time hours and the chance to gain an APC qualification for RICS.
Data & Research Assistant β Property Insights (APC Support) employer: Rettie & Co
Rettie & Co is an exceptional employer located in the vibrant city of Edinburgh, offering a dynamic work culture that values detail-oriented individuals who thrive on data-driven insights. Employees benefit from comprehensive support for professional growth, including the opportunity to gain an APC qualification for RICS, while enjoying a collaborative environment that fosters strong professional relationships and encourages innovation in property research.
StudySmarter Expert Adviceπ€«
We think this is how you could land Data & Research Assistant β Property Insights (APC Support)
β¨Get Involved in Data Science Meetups
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We think you need these skills to ace Data & Research Assistant β Property Insights (APC Support)
Some tips for your application π«‘
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. Donβt forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Rettie & Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why youβre a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Rettie & Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Rettie & Co
β¨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
β¨Showcase Your Projects
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β¨Get Comfortable with Python and R
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β¨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how weβd 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.