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- Tasks: Analyse data to provide insights for insurance operations and support decision-making.
- Company: Join a dynamic analytics team in the heart of London’s insurance market.
- Benefits: Enjoy hybrid working, a collaborative environment, and opportunities for personal growth.
- Why this job: Be part of transformative data initiatives that impact the insurance industry.
- Qualifications: Experience in data analysis within insurance; degree in a relevant field preferred.
- Other info: Work with cutting-edge tools like Tableau and Power BI, and engage in real-time data projects.
The predicted salary is between 42000 - 58000 £ per year.
Data Analyst – Insurance
Location: London, UK (Hybrid Working Available)
Salary: £50,000
We are seeking a highly motivated and skilled Data Analyst with a background in Financial Services and experience in the insurance market. This is an exciting opportunity to be part of a dynamic analytics function, supporting the business with modern, data-driven solutions, including real-time data capture and data warehouse capabilities.
Key Responsibilities:
- Partner with business stakeholders across broking, underwriting, and operations to gather requirements and deliver actionable insights.
- Develop and maintain dashboards and reports using Tableau, Power BI, or similar BI tools (QlikView, Domo).
- Design and support data models leveraging data warehouse structures for accurate reporting and analysis.
- Work on real-time data capture initiatives to enhance decision-making and operational visibility.
- Support data integration and transformation pipelines, ensuring clean and reliable data across systems.
- Translate complex data sets into compelling business narratives and visuals to inform strategy.
- Collaborate with IT and Data Engineering teams on data architecture and governance initiatives.
- Identify and recommend data-driven improvements across the organization.
Key Skills & Experience:
- Proven experience as a Data Analyst within the insurance or London Market, preferably in a broking or syndicate environment.
- Strong understanding of insurance operations, placement, underwriting, or claims data.
- Solid hands-on experience with data warehouse design, maintenance, and querying.
- Exposure to real-time data capture technologies and streaming data (e.g. Kafka, AWS Kinesis, etc.) is a strong plus.
- Proficient in Tableau, Power BI, or similar tools (QlikView, Domo) for data visualization and dashboarding.
- Good command of SQL, and exposure to Python, R, or other analytics tools is advantageous.
- Ability to work with large, complex datasets and present findings in a clear, concise manner to non-technical stakeholders.
- Excellent communication, problem-solving, and stakeholder management skills.
Desirable Qualifications:
- Degree in a relevant field such as Data Science, Computer Science, Mathematics, or Actuarial Science.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and modern data tools (e.g., dbt, Snowflake).
- Knowledge of regulatory and compliance considerations in the insurance/FS sector.
Personal benefits:
- Work with a forward-thinking team at the intersection of technology and insurance.
- Be a key contributor to transformative data initiatives in a high-impact role.
- Enjoy a collaborative, flexible, and inclusive working environment with opportunities for growth and development.
If this role sounds like your next career move, please click \”APPLY\” Or email
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Data Analyst / London employer: Oliver James Associates Ltd.
Contact Detail:
Oliver James Associates Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst / London
✨Tip Number 1
Familiarise yourself with the insurance market and its operations. Understanding the nuances of broking, underwriting, and claims data will help you speak the same language as potential employers and demonstrate your expertise during interviews.
✨Tip Number 2
Brush up on your skills with data visualisation tools like Tableau and Power BI. Being able to showcase your ability to create insightful dashboards and reports can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the insurance and data analytics fields. Attend industry events or join relevant online communities to connect with people who can provide insights and potentially refer you to job openings.
✨Tip Number 4
Prepare to discuss real-time data capture technologies and your experience with data integration. Highlighting your familiarity with tools like Kafka or AWS Kinesis can demonstrate your readiness for the role's technical demands.
We think you need these skills to ace Data Analyst / London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly within the insurance sector. Emphasise your skills with BI tools like Tableau and Power BI, as well as your understanding of data warehouse design.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data analysis in the insurance market. Mention specific projects or experiences that demonstrate your ability to translate complex data into actionable insights.
Showcase Technical Skills: Clearly outline your technical skills, especially your proficiency in SQL and any experience with Python or R. If you have worked with real-time data capture technologies, be sure to include that as well.
Highlight Communication Skills: Since the role involves collaborating with various stakeholders, emphasise your communication and problem-solving skills. Provide examples of how you've effectively presented data findings to non-technical audiences.
How to prepare for a job interview at Oliver James Associates Ltd.
✨Know Your Data Tools
Make sure you're well-versed in the data visualisation tools mentioned in the job description, like Tableau and Power BI. Be prepared to discuss your experience with these tools and how you've used them to create impactful dashboards or reports.
✨Understand the Insurance Landscape
Brush up on your knowledge of the insurance market, especially if you have experience in broking or syndicate environments. Being able to speak confidently about industry-specific challenges and trends will impress your interviewers.
✨Prepare for Technical Questions
Expect questions that test your SQL skills and understanding of data warehouse design. You might also be asked about real-time data capture technologies, so be ready to explain any relevant projects you've worked on.
✨Showcase Your Communication Skills
As a Data Analyst, you'll need to translate complex data into clear narratives for non-technical stakeholders. Prepare examples of how you've done this in the past, highlighting your ability to communicate effectively and manage stakeholder expectations.
