At a Glance
- Tasks: Manage and run quantitative research projects for top brands, designing surveys and presenting insights.
- Company: Aspire Ltd, a dynamic research company in London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Enjoy a flexible work environment with a mix of office and remote work.
- Why this job: Join a vibrant team and make an impact by delivering valuable insights to leading brands.
- Qualifications: Strong Excel and PowerPoint skills, client-facing communication, and data interpretation abilities.
The predicted salary is between 30000 - 36000 £ per year.
Aspire Ltd in London is seeking a Research Executive (Quantitative) to manage and run quantitative projects for leading brands.
You will design surveys, oversee data collection, and present insights to clients and partner agencies.
The role requires client-facing communication, strong Excel and Power Point skills, and the ability to interpret data and deliver clear, insight-led recommendations. 3 days per week in the office with some remote working is offered.
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Quantitative Research Executive — Campaign Insights (Hybrid) employer: Aspire
Aspire Leisure Centre is an exceptional employer that prioritises the growth and well-being of its team members. With a vibrant and inclusive work culture, employees enjoy comprehensive training opportunities, including support for obtaining qualifications like the Level 2 Swimming Teacher course, alongside competitive salaries and benefits such as free membership and enhanced parental pay. Join us to make a meaningful impact while having fun in a supportive environment that values teamwork and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Research Executive — Campaign Insights (Hybrid)
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Aspire.
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We think you need these skills to ace Quantitative Research Executive — Campaign Insights (Hybrid)
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!
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 Aspire, 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 Aspire. 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 Aspire
✨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!
✨Showcase Your Projects
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
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✨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.
