Claims Data Scientist — Insight, Analytics & Dashboards
Claims Data Scientist — Insight, Analytics & Dashboards

Claims Data Scientist — Insight, Analytics & Dashboards

Full-Time 28800 - 48000 £ / year (est.) No home office possible
Go Premium
M

At a Glance

  • Tasks: Analyse claims data and create insightful reports for effective decision-making.
  • Company: Leading global insurance provider with a focus on innovation.
  • Benefits: Attractive compensation, comprehensive benefits, and opportunities for growth.
  • Why this job: Join a dynamic team and make a real impact in the insurance industry.
  • Qualifications: Strong analytical skills and proficiency in Excel and Power BI.
  • Other info: Fast-paced environment with plenty of opportunities to learn and develop.

The predicted salary is between 28800 - 48000 £ per year.

A leading global provider of insurance services is looking for a key member for the Claims Governance & Reporting Team. This role’s main responsibilities include producing accurate management information and reports, conducting in-depth claims data analysis, and collaborating on effective reporting strategies.

The ideal candidate will possess strong analytical skills, proficiency in tools such as Excel and Power BI, and the ability to work independently in a dynamic environment. Attractive compensation and benefits are provided.

Claims Data Scientist — Insight, Analytics & Dashboards employer: Munich Re

As a leading global provider of insurance services, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Our Claims Data Scientist role offers not only competitive compensation and benefits but also ample opportunities for professional growth and development in a dynamic environment. Join us to be part of a team that values your contributions and supports your career aspirations.
M

Contact Detail:

Munich Re Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Claims Data Scientist — Insight, Analytics & Dashboards

Tip Number 1

Network like a pro! Reach out to people in the insurance and data analytics fields. Use LinkedIn to connect with current employees at the company you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your analytical projects, especially those involving Excel and Power BI. When you get the chance to chat with recruiters or during interviews, share specific examples of how you've used these tools to solve real problems.

Tip Number 3

Practice makes perfect! Get ready for those tricky interview questions by doing mock interviews with friends or using online platforms. Focus on articulating your thought process when analysing claims data and how you approach reporting strategies.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else. So, keep an eye out and hit that apply button!

We think you need these skills to ace Claims Data Scientist — Insight, Analytics & Dashboards

Analytical Skills
Data Analysis
Excel
Power BI
Reporting Strategies
Collaboration
Independent Work
Dynamic Environment

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your analytical skills and experience with tools like Excel and Power BI. We want to see how your background 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 excited about the Claims Data Scientist position and how you can contribute to our Claims Governance & Reporting Team. Keep it engaging and personal!

Showcase Your Analytical Mindset: In your application, give examples of how you've tackled complex data analysis in the past. We love seeing candidates who can think critically and provide insights from their findings, so don’t hold back!

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 Munich Re

Know Your Data Tools

Make sure you brush up on your Excel and Power BI skills before the interview. Be ready to discuss how you've used these tools in past projects, as well as any specific functions or features that helped you analyse data effectively.

Showcase Your Analytical Skills

Prepare examples of how you've conducted in-depth data analysis in previous roles. Think about the challenges you faced, the methods you used, and the impact your findings had on decision-making. This will demonstrate your ability to provide valuable insights.

Understand Reporting Strategies

Familiarise yourself with effective reporting strategies relevant to claims governance. Be prepared to discuss how you would approach creating management information reports and what key metrics you believe are essential for stakeholders.

Emphasise Independence and Adaptability

Since the role requires working independently in a dynamic environment, think of examples where you've successfully managed projects on your own. Highlight your adaptability and how you handle changing priorities or unexpected challenges.

Claims Data Scientist — Insight, Analytics & Dashboards
Munich Re
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

M
  • Claims Data Scientist — Insight, Analytics & Dashboards

    Full-Time
    28800 - 48000 £ / year (est.)
  • M

    Munich Re

    10000+
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>