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- Tasks: Lead analytics projects and embed AI across business functions.
- Company: Join AXA Group, a leader in insurance and healthcare innovation.
- Benefits: Enjoy flexible working arrangements for a great work-life balance.
- Other info: Be part of a high-performing team with excellent career growth opportunities.
- Why this job: Make a real impact by driving analytics initiatives in a dynamic environment.
- Qualifications: Master’s in Data Science and experience in analytics required.
The predicted salary is between 60000 - 80000 £ per year.
AXA Group in Tunbridge Wells is seeking a Data & AI Business Partner to drive analytics initiatives and embed AI across business functions. This role requires a Master’s in Data Science or related discipline, along with significant experience in analytics within the Insurance or Healthcare sectors.
Key responsibilities include:
- Overseeing analytics projects
- Collaborating with stakeholders
- Leading a high-performing team
AXA offers flexible working arrangements to support work-life balance.
Data & AI Business Partner — BI & Analytics Lead employer: AXA Group
Contact Detail:
AXA Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Business Partner — BI & Analytics Lead
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and healthcare sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your analytics knowledge and AI trends. We recommend practising common interview questions and scenarios related to data-driven decision-making to showcase your skills effectively.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, send a thank-you email to express your appreciation and reiterate your interest in the role. It keeps you fresh in their minds and shows your enthusiasm.
✨Tip Number 4
Apply through our website for the best chance at landing that Data & AI Business Partner role. We make it easy for you to showcase your skills and experience directly to the hiring team!
We think you need these skills to ace Data & AI Business Partner — BI & Analytics Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics, especially within the Insurance or Healthcare sectors. We want to see how your skills align with the role of Data & AI Business Partner.
Showcase Your Projects: Include specific examples of analytics projects you've led or contributed to. This will help us understand your hands-on experience and how you can drive initiatives at AXA.
Be Clear and Concise: When writing your cover letter, get straight to the point. We appreciate clarity, so make sure to outline why you're a great fit for the role without fluff.
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 don’t miss out on any important updates!
How to prepare for a job interview at AXA Group
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data science and AI, especially as they relate to the insurance and healthcare sectors. Brush up on your knowledge of analytics tools and methodologies that are relevant to AXA's needs.
✨Showcase Your Leadership Skills
Since this role involves leading a high-performing team, be prepared to discuss your leadership style and past experiences. Think of specific examples where you successfully managed projects or collaborated with stakeholders to drive results.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you would handle real-world challenges in analytics. Prepare scenarios where you’ve had to make data-driven decisions or overcome obstacles in previous roles, particularly in the insurance or healthcare fields.
✨Emphasise Flexibility and Work-Life Balance
AXA values flexible working arrangements, so be ready to discuss how you manage work-life balance. Share your thoughts on how flexibility can enhance productivity and team morale, showing that you align with their company culture.