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For Companies At a Glance
- Tasks: Analyse data trends and provide insights to support decision-making in claims operations.
- Company: Join one of the world's largest insurance companies, known for innovation and excellence.
- Benefits: Enjoy flexible working options, professional development opportunities, and a collaborative culture.
- Why this job: Be part of a dynamic team driving impactful data analytics in the insurance sector.
- Qualifications: Degree in Business, Mathematics, or Statistics; strong data analysis skills required.
- Other info: Ideal for those with 5+ years in insurance or related fields, fluent in English and local languages.
The predicted salary is between 36000 - 60000 £ per year.
We have a new opportunity for a Claims Operations Analyst to join our Claims Operations Team. If you have a background in data analytics and advanced data generation and would like to join one of the world's largest insurance companies, then we would love to hear from you!
About the Role
The EMEA Claims Operations MI/BI team (Management Information & Business Intelligence) is responsible for providing deep data insights to COG, regional EMEA Leadership, local claims clusters/countries heads, and the Senior Leadership Team. This includes claims trend analytics with predefined KPIs, trend developments over time, and sophisticated predictive trend forecasts & staffing models with management recommendations. Basic EMEA Claims data generation is managed offshore, while advanced data interpretation & KPI trend analysis are conducted onshore, close to the business Regional Claims Managers, Claims Country Managers, & Line of Business heads.
Responsibilities
- The Business Intelligence Analyst will be accountable for data analytics & advanced data generation, accuracy, timeliness, and communication/escalations to stakeholders as needed.
- Establish a strong understanding and connection with IT data sources to generate, validate, and discuss data sources and validity, building sustainable relationships with Claims Handlers, IT, Data, actuarial departments, and other key internal departments in Chubb EMEA.
- Monitor the delivery and performance of MI/BI to support data generation activities and understand processes involved.
- Engage operationally with ongoing projects identified as MI/BI critical or where data interpretation and generation are needed throughout the year.
- Focus on Chubb’s Claims Craftsmanship modules & relevant MI/BI training on all Chubb systems, data manipulation, and digital innovations.
- Drive self-studies to stay updated and maintain a sustainable knowledge base.
- Work within the framework of Chubb's ethical and service standards, adhering to current WFH regulations.
- Demonstrate flexibility, agility, team cooperation, lean & Six Sigma mindset, and long-term business thinking.
Qualifications
- Strong interpersonal communication skills to quickly understand strategic business requirements, self-prioritize, deliver on time, and escalate support when necessary.
- Working knowledge of building data/reporting solutions from enterprise systems (e.g., IBM Netezza, Microsoft SQL Server, IBM DB2).
- Experience with reporting tools such as QlikSense, QlikView, Cognos BI, SSRS, or similar.
- Solid SQL querying & scripting skills; fluency is preferred.
- Understanding of data lake/data warehouse concepts and design principles.
- Fluent in English and one or two additional relevant local languages preferred.
- University degree in Business Administration, Mathematics, Statistics, or equivalent qualifications in an international or global corporate environment.
- Strong sense of execution and accountability, with the ability to explain complex matters simply to main stakeholders.
- Strong regional analytical thinking to drive conclusions, anticipate trends, and develop relevant hypotheses based on data insights.
- Entrepreneurial mindset, capable of leading meetings under tight deadlines and pressure.
- Excellent communication skills with the ability to explain complex fundamentals simply.
- At least 5+ years of relevant experience in Insurance or similar industry.
EMEA Claims Operations Analyst employer: Chubb
Contact Detail:
Chubb Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land EMEA Claims Operations Analyst
✨Tip Number 1
Familiarise yourself with the specific data analytics tools mentioned in the job description, such as QlikSense and SQL. Having hands-on experience or even completing online courses on these platforms can give you a significant edge during interviews.
✨Tip Number 2
Network with current or former employees of Chubb EMEA to gain insights into the company culture and expectations for the Claims Operations Analyst role. This can help you tailor your approach and demonstrate your genuine interest in the position.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data analytics to drive business decisions. Be ready to explain your thought process and the impact of your work, as this will showcase your analytical thinking and problem-solving skills.
✨Tip Number 4
Stay updated on industry trends and developments in insurance and data analytics. Being knowledgeable about current challenges and innovations in the field can help you engage in meaningful conversations during interviews and demonstrate your commitment to continuous learning.
We think you need these skills to ace EMEA Claims Operations Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics and any relevant tools you've used, such as SQL or reporting software. Emphasise your ability to communicate complex data insights clearly.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the EMEA Claims Operations Analyst role specifically. Mention how your background aligns with the responsibilities outlined in the job description, particularly your experience with data generation and analysis.
Showcase Relevant Experience: When detailing your professional experience, focus on specific projects where you successfully used data analytics to drive business decisions. Use metrics to quantify your achievements whenever possible.
Prepare for Potential Questions: Think about how you would explain your analytical process and decision-making in previous roles. Be ready to discuss how you’ve handled tight deadlines and complex data challenges in the past.
How to prepare for a job interview at Chubb
✨Showcase Your Data Skills
Make sure to highlight your experience with data analytics and reporting tools during the interview. Be prepared to discuss specific projects where you've used SQL, QlikSense, or similar tools to derive insights and make recommendations.
✨Understand the Business Context
Familiarise yourself with the insurance industry and the specific challenges faced by claims operations. This will help you demonstrate your understanding of how data insights can drive business decisions and improve operational efficiency.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to handle real-world scenarios. Think of examples from your past experience where you successfully navigated complex data challenges or improved processes.
✨Demonstrate Strong Communication Skills
Since the role requires interaction with various stakeholders, practice explaining complex data concepts in simple terms. Show that you can communicate effectively with both technical and non-technical audiences.
