At a Glance
- Tasks: Coordinate research projects and analyse customer behaviours and market trends.
- Company: Leading retail insights firm with a focus on innovation.
- Benefits: Competitive salary, bonuses, and flexible working environment.
- Other info: Great opportunity for career growth in a supportive environment.
- Why this job: Join a dynamic team and make an impact in retail research.
- Qualifications: Degree-level education and strong communication skills required.
The predicted salary is between 30000 - 42000 £ per year.
A leading retail insights firm is seeking an Insight Coordinator for a 12-month Fixed-Term Contract. You will support the insights team in understanding customer behaviours and market trends.
Key responsibilities include:
- Coordinating research projects
- Managing budgets
- Presenting findings
Ideal candidates should have:
- Degree-level education
- Strong communication skills
- Proficiency in Excel and PowerPoint
This role offers a competitive salary, bonuses, and a flexible working environment.
Insight Coordinator: Data-Driven Retail Research (FTC) employer: McArthurGlen Group
McArthurGlen Group is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the tourism sector. With competitive salaries, performance bonuses, and flexible hybrid working options, employees are empowered to thrive both professionally and personally. The company prioritises employee growth through continuous learning opportunities, making it an ideal place for those seeking meaningful and rewarding careers in strategic partnerships.
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We think this is how you could land Insight Coordinator: Data-Driven Retail Research (FTC)
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We think you need these skills to ace Insight Coordinator: Data-Driven Retail Research (FTC)
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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✨Brush Up on Your Statistics
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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.
