At a Glance
- Tasks: Analyse data to drive decisions and enhance operations in the insurance sector.
- Company: Leading insurance company with a focus on innovation and collaboration.
- Benefits: Competitive salary, generous pension, flexible working, and hybrid options.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Experience in data analysis and proficiency in Power BI and Excel.
- Other info: Join a dynamic team with opportunities for growth and development.
The predicted salary is between 28800 - 48000 £ per year.
A prominent insurance company is seeking a Data Analyst for a hybrid position based in Bishop's Cleeve. The ideal candidate will engage in data analysis to inform decision-making and improve operational processes.
- Producing reports from complex datasets
- Collaborating with stakeholders
- Utilizing tools like Power BI and Excel
Competitive salary and benefits, including a generous pension and flexible working arrangement, are offered.
Insurance Data Analyst: Insights & Dashboards employer: AmTrust International
Contact Detail:
AmTrust International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insurance Data Analyst: Insights & Dashboards
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best data analysis projects, especially those using Power BI and Excel. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for those interview questions by rehearsing common data analyst scenarios. We want to be confident when discussing how we can improve operational processes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match the job description perfectly.
We think you need these skills to ace Insurance Data Analyst: Insights & Dashboards
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis and tools like Power BI and Excel. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to improving operational processes at our company. Keep it engaging and personal.
Showcase Your Analytical Skills: In your application, include examples of how you've used data to inform decision-making in previous roles. We love seeing real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at AmTrust International
✨Know Your Data Tools
Make sure you brush up on your skills with Power BI and Excel. Be ready to discuss how you've used these tools in past projects, as well as any specific features that helped you analyse data effectively.
✨Understand the Insurance Landscape
Familiarise yourself with the insurance industry and its key metrics. This will help you speak confidently about how data analysis can drive decision-making and improve operational processes within the company.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems using data. Think of examples from your experience where you turned complex datasets into actionable insights, and be ready to explain your thought process.
✨Showcase Your Collaboration Skills
Since the role involves working with stakeholders, be prepared to discuss how you've successfully collaborated with others in the past. Highlight any experiences where your communication skills made a difference in a project.