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- Tasks: Manage and optimise data flows while applying validation controls across the business.
- Company: Leading Insurance MGA in London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a significant impact in the insurance sector.
- Qualifications: 5+ years in data analytics, strong Excel and Power BI skills required.
- Other info: Fast-paced environment with excellent career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
A leading Insurance MGA based in London is seeking a Senior Data Analyst to manage data and data feeds across the business. This role entails building data flows and applying validation controls.
The ideal candidate will have at least 5 years of experience in data analytics, with strong capabilities in Excel and Power BI. A background in London Market Insurance is essential, along with the ability to thrive in a fast-paced environment.
Senior Data Analyst – London Market Insurance Data Flows in City of London employer: HFG
Contact Detail:
HFG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst – London Market Insurance Data Flows in City of London
✨Tip Number 1
Network like a pro! Reach out to connections in the London Market Insurance sector. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data flows and validation controls. Use Excel and Power BI to demonstrate your capabilities. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data analytics scenarios. Think about how you would handle specific challenges in the London Market Insurance space. Practising your responses will help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Keep an eye on our listings and make sure your application stands out by tailoring it to each role.
We think you need these skills to ace Senior Data Analyst – London Market Insurance Data Flows in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics, especially with Excel and Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in the London Market Insurance sector!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data Analyst role. Share specific examples of how you've managed data flows and applied validation controls in your previous roles.
Showcase Your Analytical Skills: In your application, highlight any projects or experiences where you’ve successfully built data flows or implemented validation controls. We love seeing real-world applications of your skills, so make sure to include those details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at HFG
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills, especially in Excel and Power BI. Be prepared to discuss specific projects where you've built data flows or applied validation controls, as this will show your hands-on experience in the field.
✨Understand the London Market
Familiarise yourself with the nuances of the London Market Insurance sector. Research recent trends, challenges, and key players. This knowledge will not only impress your interviewers but also demonstrate your genuine interest in the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you handle real-world data challenges. Think of examples from your past experience where you successfully managed data feeds or resolved issues under pressure. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Showcase Your Adaptability
Since the role requires thriving in a fast-paced environment, be ready to share instances where you've adapted quickly to changes or tackled unexpected challenges. Highlighting your flexibility and problem-solving skills will resonate well with the interviewers.
