At a Glance
- Tasks: Enhance reporting processes and automate workflows in a dynamic team.
- Company: Global insurance leader focused on data quality and improvement.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a collaborative environment dedicated to continuous improvement.
- Why this job: Make a real impact in the insurance industry with your coding skills.
- Qualifications: Strong coding abilities in R/Python, robust SQL skills, and insurance knowledge.
The predicted salary is between 50000 - 60000 £ per year.
A global insurance leader is seeking a Senior Data & Reporting Analyst to enhance reporting processes within the Exposure Management team. The role involves automating workflows, improving data capture, and ensuring timely regulatory returns.
Candidates should have strong coding abilities in R and/or Python, along with robust SQL skills, and a solid understanding of insurance concepts.
Join a dynamic team committed to data quality and continuous improvement.
Senior Data & Reporting Analyst — Exposure Management & Automation employer: AIG
As a global insurance leader, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Our commitment to professional development ensures that as a Senior Data & Reporting Analyst, you will have access to continuous learning opportunities and the chance to make a significant impact on our reporting processes. Located in a vibrant city, we offer competitive benefits and a supportive environment that values data quality and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Reporting Analyst — Exposure Management & Automation
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and data analytics space on LinkedIn. A friendly chat can open doors and give you insights into the company culture.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your coding projects in R, Python, and SQL. This will help us see your expertise in action and how you can enhance our reporting processes.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for potential coding tests during interviews. We want to see how you tackle real-world problems with your coding abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our dynamic team committed to data quality.
We think you need these skills to ace Senior Data & Reporting Analyst — Exposure Management & Automation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your coding skills in R and Python, as well as your SQL expertise. We want to see how your experience aligns with the role, so don’t be shy about showcasing 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 quality and continuous improvement. We love seeing candidates who can articulate their understanding of insurance concepts and how they can contribute to our team.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've automated workflows or improved reporting processes in the past. We’re looking for candidates who can think critically and bring innovative solutions to the table!
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 you’re keen on joining our dynamic team!
How to prepare for a job interview at AIG
✨Know Your Coding Inside Out
Make sure you brush up on your R and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, and maybe even prepare to solve a coding challenge on the spot. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Understand the Insurance Landscape
Since this role is within the insurance sector, it’s crucial to have a solid grasp of key insurance concepts. Do some research on current trends and regulations in the industry. Being able to speak knowledgeably about how data impacts exposure management will definitely set you apart.
✨Showcase Your Automation Skills
Prepare examples of how you've automated workflows in previous roles. Discuss the challenges you faced and how you overcame them. This will demonstrate your problem-solving abilities and your commitment to improving processes, which is exactly what the team is looking for.
✨Be Ready for Data Quality Discussions
Since the team is focused on data quality and continuous improvement, think about how you’ve contributed to these areas in past positions. Prepare to share specific instances where you identified data issues and implemented solutions. This will highlight your proactive approach and dedication to excellence.
