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For Companies At a Glance
- Tasks: Analyse claims data, produce reports, and mentor junior analysts in a fully remote role.
- Company: Join a top UK insurer with 1.4 million customers and stellar Glassdoor reviews.
- Benefits: Enjoy a discretionary bonus, 25 days holiday, private medical insurance, and a pension contribution.
- Why this job: Be part of a rapidly growing company that values innovation and offers a supportive culture.
- Qualifications: Degree in a STEM subject and experience with SAS or SQL for data analysis.
- Other info: This role does not offer sponsorship.
The predicted salary is between 42000 - 84000 £ per year.
CLAIMS INSIGHT MANAGER
£60,000
FULLY REMOTE
This role does not offer sponsorship.
This is an exciting opportunity to join a market-leading insurance business, utilising smart data and technology. They have been undergoing rapid growth and currently have 1.4 million customers.
THE COMPANY
This business is a UK-based insurer offering a range of home and motor insurance. They have been nominate Employer of the Year and have amazing Glassdoor reviews!
THE ROLE
You can expect to be involved in the following day-to-day:
- Produce regular reports for senior stakeholders, providing insight into current and projected claims indemnity performance to support monthly and quarterly executive updates.
- Analyse trends, anomalies, and opportunities in claims performance aligned with executive priorities.
- Develop and maintain robust data models (primarily using SAS), leveraging multiple data sources to deliver actionable insights across key performance metrics.
- Partner with operational teams to identify and implement initiatives that improve indemnity outcomes, ensuring follow-through to execution.
- Mentor and support junior analysts, with a focus on enhancing their technical capabilities, particularly in SAS.
- Work closely with Finance to monitor and demonstrate realised benefits across cost, income, and indemnity performance.
- Liaise with external benchmarking providers to supply accurate, detailed data for ongoing comparison against market standards and to inform internal performance indicators.
- Assist with modelling and forecasting the impact of internal and external factors on claims inflation.
- Represent the Claims Insight Manager in key meetings with stakeholders.
- Contribute to wider Performance team initiatives, applying skills flexibly to meet evolving business requirements.
YOUR SKILLS AND EXPERIENCE
- Previous experience with data analysis using SAS or SQL.
- Previous experience using data and insights to understand claims performance.
- Excellent written and verbal communication skills.
- Degree in a STEM subject.
THE BENEFITS
- Discretionary bonus.
- 25 days holiday (+ bank holidays).
- Life insurance.
- Private Medical insurance.
- Pension contribution.
HOW TO APPLY
Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.
Claims Insight Manager employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Claims Insight Manager
✨Tip Number 1
Familiarise yourself with the latest trends in claims performance analysis. Understanding current market dynamics and how they affect indemnity outcomes will help you stand out during interviews.
✨Tip Number 2
Brush up on your SAS skills, as this role heavily relies on data modelling using this software. Consider taking a short online course or working on personal projects to demonstrate your proficiency.
✨Tip Number 3
Network with professionals in the insurance industry, especially those who work with data analytics. Engaging in conversations can provide insights into the company culture and expectations for the Claims Insight Manager role.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive improvements in claims performance. Being able to articulate your past experiences will showcase your ability to contribute effectively to the team.
We think you need these skills to ace Claims Insight Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, particularly using SAS or SQL. Emphasise any previous roles where you have used data to understand claims performance, as this is crucial for the Claims Insight Manager position.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific examples of how your skills align with the responsibilities outlined in the job description, such as producing reports for stakeholders or mentoring junior analysts.
Showcase Communication Skills: Since excellent written and verbal communication skills are essential for this role, consider including a brief section in your CV or cover letter that demonstrates your ability to communicate complex data insights clearly and effectively.
Highlight Relevant Education: Ensure your degree in a STEM subject is prominently displayed on your CV. If you have any additional certifications or training related to data analysis or insurance, include those as well to strengthen your application.
How to prepare for a job interview at Harnham
✨Showcase Your Data Skills
Make sure to highlight your experience with data analysis, particularly using SAS or SQL. Be prepared to discuss specific projects where you've successfully used these tools to derive insights and improve claims performance.
✨Prepare for Technical Questions
Expect technical questions related to data modelling and analysis. Brush up on your knowledge of key performance metrics and be ready to explain how you would approach analysing trends and anomalies in claims data.
✨Demonstrate Communication Skills
Since the role involves producing reports for senior stakeholders, practice articulating complex data insights clearly and concisely. Use examples from your past experiences to illustrate how you've effectively communicated findings to non-technical audiences.
✨Emphasise Mentorship Experience
If you have experience mentoring junior analysts, be sure to mention it. Discuss how you've helped others enhance their technical capabilities, especially in SAS, and how you can contribute to the team's growth and development.