At a Glance
- Tasks: Support design and delivery of data and digital solutions across the business.
- Company: Join a leading global insurance organisation with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and exciting projects.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Strong analytical skills and experience in data-driven decision making.
The predicted salary is between 40500 - 49500 £ per year.
American International Group is seeking a Data & Digital Analyst to support the design, delivery and adoption of data and digital capabilities across the business. This role sits at the intersection of business need, product thinking and platform delivery, working across Talbot’s core data and digital landscape.
You will translate operational, analytical and strategic needs into practical, scalable data and digital solutions, collaborating with underwriting, operations and other stakeholders.
Data & Digital Analyst — Bridge Analytics & Delivery employer: American International Group
AIG is an exceptional employer, offering a dynamic work environment in London where collaboration and inclusivity are at the forefront of our culture. With a robust Total Rewards program and a strong commitment to professional development, employees are empowered to grow their careers while making meaningful contributions to the business. Join us to be part of a team that values innovation and fosters lasting relationships with clients and brokers alike.
Contact Details:
American International Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data & Digital Analyst — Bridge Analytics & Delivery
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We think you need these skills to ace Data & Digital Analyst — Bridge Analytics & Delivery
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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