At a Glance
- Tasks: Drive data transformation and deliver impactful analytics products for decision-making.
- Company: Join AXA Health, a global insurer focused on innovation and member outcomes.
- Benefits: Enjoy a hybrid work model with flexible arrangements and competitive pay.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Shape the future of data analytics and make a real difference in healthcare.
- Qualifications: Experience in data analytics, team leadership, and Agile methodologies required.
The predicted salary is between 59400 - 72600 £ per year.
Overview
In this role you will drive AXA Health’s data and analytics transformation, delivering end-to-end analytics products that empower cross-functional teams to make data-driven decisions.
You will own analytics products from discovery to deployment, partnering with leaders to prioritise high-impact initiatives.
You’ll translate complex analytics into accessible insights, while ensuring compliance and measurable impact.
This is a chance to shape data capabilities that support growth, efficiency, and better member outcomes in a global insurer.
- Pay / Benefits
- hybrid work model
- flexible working arrangements
Responsibilities
- Understand key business metrics and their impact on profit, revenue, and member retention
- Collaborate with leaders to prioritise analytics projects delivering high value
- Be an expert in descriptive, diagnostic, predictive, and prescriptive analytics and their use
- Take full ownership of analytics products from analysis through deployment and decommissioning
- Lead cross-functional teams to set goals, manage priorities, and deliver data products
- Communicate complex analytics clearly to ensure products are accessible, trustworthy, and impactful
- Explore innovative analytical approaches aligned with business strategy
- Ensure data products comply with guardrails and regulatory requirements and measure their impact
- Key requirements
- Experience leveraging data and analytics infrastructure to deliver outcomes
- Experience leading a team within a data and analytics space
- Strong knowledge of Agile processes and ability to promote this way of working to stakeholders
- Excellent presentation and influencing skills
- Proven track record of identifying, creating and delivering successful analytics products and services with measurable impact
- Strong understanding of different analytics types and their application to business problems
- Excellent organizational and time management skills
- presentation skills
- influencing abilities
- cross-functional collaboration
- Agile methodologies
- data analytics mindset
- experience with analytics products
Data & Analytics Product Owner employer: AXA Group
AXA XL in London is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the insurance sector. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a strong emphasis on work-life balance, making it an ideal environment for those looking to advance their careers in underwriting while enjoying the vibrant atmosphere of London.
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We think this is how you could land Data & Analytics Product Owner
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We think you need these skills to ace Data & Analytics Product Owner
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
