At a Glance
- Tasks: Use data to identify key issues and trends for positive community change.
- Company: A mission-driven organisation focused on creating lasting impact.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to making a real difference.
- Why this job: Shape a new Insight function and influence meaningful change in communities.
- Qualifications: Strong analytical skills and experience in quantitative research.
The predicted salary is between 40500 - 49500 £ per year.
An exciting opportunity has arisen for a Quantitative Research Analyst to join an organisation focused on creating positive, lasting change and improving outcomes for people and communities.
The organisation looks at some of the issues that can hold people and communities back, identifies where change is needed and works with others to help develop and facilitate solutions.
The work is varied, meaningful and ultimately focused on making a positive difference, rather than simply generating insight for its own sake.
As part of this, they are now building a new Insight function to provide a stronger evidence base for the work they do.
This role will provide the quantitative backbone of that function, using data to identify where the most significant problems exist, understand emerging trends and help determine where attention and resources should be focused.
It's an exciting time to join, with the opportunity to help shape a new function and have genuine influence over the questions being explored, the analysis undertaken and the decisions that follow.
The Company
The organisation works to identify issues that are preventing people and communities from achieving better outcomes, and then brings together the insight, expertise and relationships needed to help address them.
Rather than simply researching problems, they look at where meaningful change could be made and work with others to help develop and facilitate solutions.
This can involve understanding an issue from different perspectives, identifying where intervention could have the greatest impact and building the evidence needed to decide what should happen next.
The new Insight function will bring greater structure and depth to this work, combining quantitative and qualitative research to identify the problems that warrant attention and help shape future priorities.
It's an exciting time to join, with the opportunity to help build the function and establish how quantitative evidence is used across the organisation.
The Role
As the Quantitative Research Analyst, you'll be responsible for providing the quantitative research and analysis that underpins the wider Insight function.
You'll work on varied and often complex questions, using data to understand what is happening, identify significant differences and trends, and...
Quantitative Research Analyst in Bonnyrigg employer: Cathcart Technology Careers
Join a dynamic and supportive team at a well-established MSP in central Edinburgh, where your technical skills will be nurtured through funded certifications and training. With a strong emphasis on professional development and a collaborative work culture, this role offers the chance to tackle diverse challenges while delivering exceptional customer service. Enjoy the benefits of a close-knit environment that values its employees and fosters growth in a thriving technology sector.
Contact Details:
Cathcart Technology Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Research Analyst in Bonnyrigg
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We think you need these skills to ace Quantitative Research Analyst in Bonnyrigg
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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Craft a Tailored Cover Letter:For a full-time role at Cathcart Technology Careers, 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 you’re 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 Cathcart Technology Careers. 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 Cathcart Technology Careers
✨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!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Cathcart Technology Careers!
✨Prepare for Case Studies
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.
