At a Glance
- Tasks: Analyse business requirements and deliver data solutions for insurance clients.
- Company: Global data and AI company with a focus on innovation.
- Benefits: Competitive salary, flexible hybrid working model, and career development opportunities.
- Why this job: Join a dynamic team and make a real impact in the insurance sector.
- Qualifications: 5+ years in insurance, strong analytical skills, and degree educated.
- Other info: Permanent role based in London with excellent growth potential.
The predicted salary is between 43200 - 72000 £ per year.
A global data and AI company is seeking a Senior Business Analyst to deliver Enterprise Data Management solutions for insurance clients. You will gather and analyze business requirements, ensuring effective data and process solutions.
Candidates should have a minimum of 5 years' experience in the Insurance sector, excellent analytical and communication skills, and be educated to degree level.
This permanent role offers a competitive salary and a flexible hybrid working model in London.
Senior Insurance Data & Analytics Analyst in London employer: exl
Contact Detail:
exl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Insurance Data & Analytics Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance sector and let them know you're on the hunt for a Senior Insurance Data & Analytics Analyst role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Brush up on your analytical skills and be ready to discuss how you've tackled data management challenges in the past. We recommend practising common interview questions related to data analytics and insurance to boost your confidence.
✨Tip Number 3
Showcase your expertise! Create a portfolio that highlights your previous projects and achievements in data analytics within the insurance industry. This will give potential employers a clear picture of what you bring to the table.
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Senior Insurance Data & Analytics Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the insurance sector and showcases your analytical skills. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and analytics in the insurance industry. We love seeing candidates who can communicate their enthusiasm and fit for the role.
Showcase Your Communication Skills: Since this role involves gathering and analysing business requirements, it’s crucial to demonstrate your communication prowess. We recommend including examples of how you've effectively communicated complex data insights to non-technical stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application 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 exl
✨Know Your Insurance Stuff
Make sure you brush up on your knowledge of the insurance sector. Understand the latest trends, challenges, and technologies in data management specific to insurance. This will show that you're not just experienced but also genuinely interested in the field.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where you've successfully gathered and analysed business requirements. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your analytical skills led to effective data solutions.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex data concepts in simple terms. You might be asked to present a case study or a past project, so make sure you can articulate your thought process clearly and confidently.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to data management in the insurance sector or how they leverage AI. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.