About AXA:
AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide range of services, including health, car, home, and business insurance. We support millions of customers worldwide, helping them navigate life's uncertainties with confidence.
AXA Commercial protects businesses, from multinationals to micro start-ups, giving them the confidence to thrive.
Job overview:
We're seeking a talented Data Analyst to join our domain-aligned Scrum teams, working closely under the guidance of the Data Product Owners to deliver high-quality, business-aligned data products. By blending technical expertise with your knowledge of the insurance industry, you'll play a vital role in ensuring our Data Products provide measurable value through trusted, accessible, and well-structured data solutions.
Key responsibilities:
Collaborate with stakeholders and product teams to gather, document and prioritise data requirements aligned with business objectives.
Facilitate workshops and discovery sessions, to extract and clarify stakeholder and business needs.
Translate business requirements into accurate, structured source-to-target data mappings.
Support the design and development of data products using data modelling principles, including understanding entities, relationships and normalisation.
Utilise SQL and Python to extract, analyse and validate data across systems for investigations, development and testing.
Produce high-quality user stories with clear, testable acceptance criteria for sprint readiness.
Assist with data quality assessments, identify root causes of issues and collaborate with engineers and governance teams on resolutions.
Maintain awareness of data governance principles and promote compliance within product delivery, while developing a deep understanding of key insurance domains.
Actively participate in agile ceremonies, backlog refinement and promote a product centric mindset focused on value delivery.
Work arrangements:
At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means attending the office, visiting clients or attending industry events. We're also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.
Your skills & experience:
Insurance industry experience, with an understanding of the insurance lifecycle, terminology and regulatory environment.
Proven experience in gathering and documenting data requirements from both technical and non-technical stakeholders.
Skilled in creating and interpreting source-to-target data mappings for complex datasets.
Knowledge and understanding of data modelling principles and best practices.
Proficient in SQL and Python for data exploration, with solid knowledge of data quality and governance.
Experience working in an agile environment, writing user stories and acceptance criteria for data-related tasks.
Demonstrable experience with data profiling, monitoring and root cause analysis of data issues.
Understanding of data management and governance principles, including metadata, definitions and data stewardship.
Excellent collaboration skills with the confidence to engage effectively across technical and non-technical audiences.
As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.
How to apply:
To apply, click on the 'apply now' button, you'll then need to log in or create a profile to submit your CV. We're proud to be an Equal Opportunities Employer and don't discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we're proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to