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For Companies At a Glance
- Tasks: Drive data analysis to uncover business opportunities and enhance operational efficiency.
- Company: Join The AA, a trusted UK brand dedicated to keeping Britain moving.
- Benefits: Enjoy free breakdown membership, generous leave, and a supportive work environment.
- Why this job: Make a real impact in the insurance sector with your analytical skills.
- Qualifications: Experience in data analysis and strong communication skills are essential.
- Other info: Be part of an inclusive culture that values diversity and personal growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
The AA – Royal Tunbridge Wells, England, United Kingdom
Join or sign in to find your next job. Apply for the Claims Data Product Owner role at The AA.
Company Description / Business Unit
Claims Data Product Owner
Location: Tunbridge Wells – Hybrid – Three Days in Office
Employment Type: Permanent
Hours: Monday – Friday
AA Summary
As one of the UK's most trusted brands, we provide a wide range of services to millions of customers. From comprehensive Home and Motor Insurance to personalised Financial Services like Loans and Savings, and outstanding B2B, Consumer, Business Services, Driver Training, Car Care, and Service Maintenance and Repair, we've got you covered. Our mission is to keep Britain moving, and we're looking for dedicated individuals to join our team.
Your opportunity
This role offers the chance to actively contribute to the growth of AA’s in-house underwriter AAUICL. It calls for an entrepreneurial and curious mindset, along with strong general and commercial management skills. The ideal candidate will have experience in data analysis, operational processes, spend control and process efficiency with a direct impact on P&L, preferably within the motor claims sector.
Responsibilities
- Developing and implementing advanced analytical approaches to uncover business opportunities and operational challenges.
- Analyzing claims and reserve data to identify trends, anomalies, and areas for improvement.
- Building and maintaining interactive dashboards visualising performance, cost, and value metrics across teams.
- Developing models to attribute commercial value to individual claims handlers and teams.
- Tracking and evaluating cost‑benefit outcomes of strategic and operational initiatives.
- Supporting business cases with robust data analysis, forecasting, and scenario modelling.
- Quantifying team‑level costs and linking them to outcomes and value delivered.
- Leading data‑driven market intelligence projects to inform strategic initiatives and enhance processes.
- Collaborating with cross‑functional teams to translate insights into actionable strategies.
- Presenting findings and recommendations to senior leadership, influencing decision‑making and strategic planning.
Qualifications
- Senior‑level experience in commercial, business analysis, and insight roles.
- Experience within Claims, Insurance, Financial Services, or Banking sectors.
- Strong analytical skills with the ability to interpret complex data and translate it into actionable insights.
- High numeracy combined with strong commercial business acumen.
- Proficiency in data and visualisation tools and software (Excel, SQL, and Power BI).
- Excellent communication and presentation skills, with the ability to influence stakeholders at all levels.
- Proven track record of managing market research and applying insights to drive business growth.
- Analytical and entrepreneurial mindset to support innovation and problem‑solving.
- Drive and ambition to learn and progress into more senior positions.
Benefits
- Free AA breakdown membership from day 1, 50% discount for family and friends in the first year plus discounts on other AA products.
- 25 days annual leave plus bank holidays + the option to buy additional annual leave.
- Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family.
- Pension scheme available up to 7% contribution.
- Access to the EV discount scheme.
We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.
As part of the onboarding process, we complete several pre‑employment checks including work reference, credit, and criminal record checks. We may close the vacancy sooner than the advertised date if we get a high volume of applications. Please apply now if you are interested.
Seniority level: Not Applicable
Employment type: Full-time
Job function: Product Management and Marketing
Industries: Motor Vehicle Manufacturing, Financial Services, and Insurance
Claims Analytics Manager in Royal Tunbridge Wells employer: The AA
Contact Detail:
The AA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Claims Analytics Manager in Royal Tunbridge Wells
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at The AA. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for interviews by practising common questions related to claims analytics. We recommend using real-life examples from your experience to showcase your skills and how they align with the role.
✨Tip Number 3
Show off your analytical skills! Bring along a portfolio of your past work or projects that demonstrate your ability to analyse data and make impactful decisions. Visuals can really help!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest roles and updates there.
We think you need these skills to ace Claims Analytics Manager in Royal Tunbridge Wells
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Claims Analytics Manager role. Highlight your experience in data analysis and operational processes, as these are key for us. Use specific examples that showcase your skills and achievements in similar roles.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission at The AA. Be sure to mention any relevant experience in the motor claims sector.
Showcase Your Analytical Skills: Since this role requires strong analytical skills, don’t shy away from showcasing your proficiency with data tools like Excel, SQL, and Power BI. Include examples of how you've used these tools to drive business insights or improve processes.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. 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 team!
How to prepare for a job interview at The AA
✨Know Your Data
Make sure you brush up on your data analysis skills before the interview. Be prepared to discuss how you've used data to drive decisions in previous roles, especially in claims or insurance. Familiarise yourself with tools like Excel, SQL, and Power BI, as they might come up in conversation.
✨Show Your Analytical Mindset
During the interview, highlight your ability to identify trends and anomalies in data. Share specific examples of how you've tackled operational challenges using analytical approaches. This will demonstrate your entrepreneurial spirit and problem-solving skills, which are key for this role.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse hypothetical situations or past experiences. Practice articulating your thought process when evaluating cost-benefit outcomes or developing business cases. This will show your strategic thinking and how you can contribute to the company's growth.
✨Communicate Effectively
Since you'll be presenting findings to senior leadership, practice your communication skills. Be clear and concise when explaining complex data insights. Use storytelling techniques to make your points relatable and impactful, ensuring you can influence decision-making effectively.
