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- Tasks: Join our team to analyse data quality and enhance reporting for global insurance operations.
- Company: Allianz Multinational, a leading global insurance provider based in London.
- Benefits: Gain valuable experience, work with advanced technologies, and enjoy a supportive team environment.
- Other info: Inclusive workplace welcoming diverse backgrounds and offering opportunities for personal growth.
- Why this job: Kickstart your career in a dynamic role that combines data analysis and global collaboration.
- Qualifications: Strong IT skills, analytical mindset, and a passion for insurance and data-driven decision-making.
The predicted salary is between 30000 - 40000 £ per year.
We’re looking for an analyst to join our Global Network Management team at Allianz Multinational, based in London, to become our Network Quality Specialist. It’s ideal for an early‑career analyst (with a first solid experience preferably in Corporate and Specialty Insurance) who wants to build strong foundations in performance reporting, data quality control and global stakeholder interaction within a multinational environment.
The Impact You Will Have
Based in London and reporting to the Global Head of Network Management and Multinational Governance, you will focus on reporting and data quality responsibilities for our global servicing team at Allianz Commercial.
Your Role will Include
- Prepare, validate and update Servicing Office dashboards and quarterly performance reports
- Produce and distribute monthly proactive Servicing Office reports to internal stakeholders and network partners
- Actively follow up on missing, inconsistent or unclear data inputs, keeping Network Practice Leads informed
- Perform structured data quality checks (completeness, accuracy, consistency across sources)
- Log, track and report data quality issues and recurring gaps
- Support and execute updates to our Global Program System based on validated feedback
- Maintain and improve standard reporting templates, trackers and documentation
- Drive process improvements aimed at increasing reporting efficiency, consistency, and automation with effective usage of AI and latest technologies
- Produce performance analytics for leadership: cycle times, overrider checks, deviations and SLA breaches
- Collaborate with analytics teams to automate reporting templates and data ingestion
What You’ll Bring to the Role
- Strong technical IT skills (advanced Excel, Power BI or similar preferred)
- The ability to utilize AI tools to support day‑to‑day tasks, improve efficiency, and contribute to data‑driven decision‑making
- Analytical rigor and ease with data
- Demonstrated interest in global insurance operations, governance and performance transparency
- Proven ability to manage reports independently and meet deadlines
- High attention to detail with a structured, disciplined working style
- Clear written communication and confidence to raise data quality concerns; willingness to learn and explore how AI can enhance your role and the broader organization is expected
- Good relational skills and a positive team spirit
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
People with disabilities: We want to give all our candidates the best opportunity to succeed. If you need any adjustments to be made during the application and selection process, please email agcsglobalcareers@allianz.com
Multinational Insurance Programs, Network Quality Specialist employer: Ultimate.ai
Contact Detail:
Ultimate.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Multinational Insurance Programs, Network Quality Specialist
✨Tip Number 1
Network like a pro! Reach out to current employees at Allianz or in the insurance industry on LinkedIn. Ask them about their experiences and any tips they might have for landing a role like the Network Quality Specialist.
✨Tip Number 2
Prepare for interviews by brushing up on your data analysis skills. Be ready to discuss how you would handle data quality issues and showcase your knowledge of tools like Excel and Power BI. We want to see your analytical side!
✨Tip Number 3
Show off your enthusiasm for AI and tech! Talk about how you’ve used technology to improve processes in the past. This will demonstrate that you’re not just a numbers person, but also someone who embraces innovation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team at Allianz Multinational.
We think you need these skills to ace Multinational Insurance Programs, Network Quality Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Network Quality Specialist role. Highlight any relevant experience in corporate and specialty insurance, as well as your technical IT skills like Excel or Power BI.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about global insurance operations. Share specific examples of how you've demonstrated analytical rigor and attention to detail in past roles.
Showcase Your Data Skills: Since this role involves a lot of data quality checks and reporting, be sure to mention any experience you have with data analysis tools or AI technologies. We want to see how you can contribute to improving our processes!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Ultimate.ai
✨Know Your Numbers
As a Network Quality Specialist, you'll be dealing with data and performance reports. Brush up on your Excel skills and be ready to discuss how you've used data in previous roles. Bring examples of how you’ve validated or improved data quality.
✨Show Your Analytical Side
Prepare to demonstrate your analytical skills during the interview. Think of specific instances where you tackled data inconsistencies or improved reporting processes. This will show your potential employer that you can handle the analytical rigor required for the role.
✨Familiarise Yourself with AI Tools
Since the role involves using AI to enhance efficiency, do some research on relevant tools and technologies. Be prepared to discuss how you envision using AI in your day-to-day tasks and how it can improve reporting and data quality.
✨Communicate Clearly
Effective communication is key, especially when raising data quality concerns. Practice articulating your thoughts clearly and confidently. You might even want to prepare a few questions about their current reporting processes to show your interest and engagement.