At a Glance
- Tasks: Lead analytics initiatives, manage a global team, and drive data-driven strategies.
- Company: Join AXA, a global leader in insurance and financial services.
- Benefits: Flexible work arrangements, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse team and enjoy excellent career development opportunities.
- Why this job: Make a real impact in a dynamic environment while shaping the future of analytics.
- Qualifications: Advanced degree in Data Science or related field with leadership experience.
The predicted salary is between 66150 - 80850 £ per year.
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 Global Healthcare offers global healthcare support and protection to individuals and businesses in more than 200 countries, building on over 55 years of experience through its international hubs.
Job Overview
AXA Global Healthcare is enhancing its data and analytics to support its growth.
As Analytics Manager within the Chief Data Office, you’ll oversee all analytics activities - business intelligence, reporting, advanced analytics, and machine learning - across regions and functions.
You’ll connect business needs with data solutions, ensuring insights are accessible, reliable, and impactful.
Leading a global team of analysts, BI specialists, and data scientists, you'll collaborate with senior stakeholders, shape analytics strategy, and promote a data-driven culture.
This role offers a significant growth opportunity for a high-caliber analytics professional to develop into broader leadership.
Key Responsibilities
- Define and execute the analytics vision and roadmap aligned with business priorities and AI strategies, identifying measurable value opportunities.
- Collaborate with Operations, Claims, Underwriting, Finance, and Customer Experience to identify key data use cases and ensure quality outputs.
- Manage requirements and oversee the development, deployment, and maintenance of advanced analytics and machine learning models (e. g., churn, fraud, segmentation).
- Lead the migration from legacy platforms (SAS, Business Objects) to Azure, Databricks, and Power BI, automating processes with data engineers.
- Develop and maintain a global dashboard framework, promote self-service tools, and ensure governance, data quality, and compliance.
- Lead and mentor a team of 5 data professionals, fostering a high-performance, impactful culture.
- Support data and AI governance initiatives, ensuring adherence to standards and best practices.
- Collaborate with Data & AI leadership to align strategies and ensure effective implementation.
- 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.
- Your Skills & Experience
- Advanced degree in Data Science, Analytics, Actuarial Science, or Statistics with significant leadership in insurance, health, or finance.
- Proven success in delivering impactful global analytics programs and leading diverse analytics teams.
- Expertise in defining requirements and managing advanced analytics and ML models for structured data.
- Proficient in Power BI, SQL, Python, Azure, Databricks, and Dataiku, with hands-on ETL/ELT experience.
- Strong understanding of ML lifecycle, validation, governance, data quality, and Gen AI awareness.
- Excellent leadership, communication, and storytelling skills to influence senior stakeholders globally.
- Strategic, pragmatic, and delivery-focused, adept at navigating ambiguity and fostering innovation.
- French proficiency is a preferred.
As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.
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.
#J-18808-Ljbffr
Analytics Manager in Royal Tunbridge Wells employer: Limelight Health
At Limelight Health, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a remote-first company, we offer flexible working arrangements, competitive benefits, and ample opportunities for professional growth, making it an ideal environment for those passionate about driving technological advancements in healthcare. Join us to be part of a forward-thinking team that values your expertise and encourages you to lead the way in AI-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Manager in Royal Tunbridge Wells
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Limelight Health!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Manager at Limelight Health.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Limelight Health.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Manager at Limelight Health, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analytics Manager in Royal Tunbridge Wells
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Limelight Health, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Limelight Health. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Limelight Health
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Limelight Health!
✨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.