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:
Are you passionate about data and able to inspire others? As a Business Intelligence Lead, you will coach and lead a team of BI analysts to understand business needs, transform data into impactful visual solutions, and serve as the bridge between data assets and end users. Your role will involve developing strong relationships across stakeholders and data teams—such as Data Engineering, Business Insights, Product, and Data Science—to deliver trusted, high-quality data solutions that support the business's goals.
Key responsibilities:
- Develop a team of analysts ensuring we deliver the best in Business Intelligence.
- Drive the business partner programme to understand our stakeholders’ requirements, revealing the art of the possible and translating these into effective BI solutions.
- Promote working effectively across the business intelligence team, data, insights team and the wider business.
- Ensure outputs deliver real value and insight to stakeholders.
- Minimise risks by improving documentation, promoting data literacy within the business and encouraging the team to follow data governance best practice.
- Continuously look to leverage new analytical techniques, automate manual processes and migrate legacy systems.
- Ensure the BI platform delivers robust, trusted analytics and developing a programme to support and train users on its use and nurture a self-serve culture.
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:
- Proven ability to lead, motivate, and mentor diverse teams while managing resources to deliver quality BI solutions.
- Hands-on experience creating interactive dashboards, reports, and visualisations in Power BI that turn data into clear insights.
- Skilled at building strong relationships with stakeholders and communicating technical ideas to non-technical audiences.
- Knowledge of database design, including data warehouses and data marts, to support efficient data analysis and reporting.
- Able to analyse complex data, spot trends, and develop practical solutions to issues through critical thinking.
- Proficient in writing complex SQL queries and familiar with SQL Server Management Studio and Databricks.
- Experienced in designing data models that enable fast, scalable data retrieval for reporting purposes.
- Experience of working in an agile environment and using tools such as Jira/DevOps.
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 leanne.white@axa-insurance.co.uk.
We encourage you to apply for this opportunity as soon as possible, as we may close this advert earlier than the listed closing date.
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