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- Tasks: Lead data analysis and support strategic data platform development in a dynamic insurance environment.
- Company: Join a thriving insurance organisation located in the heart of London.
- Benefits: Enjoy hybrid working, professional growth opportunities, and a supportive team culture.
- Why this job: Be part of impactful data initiatives that drive transformation in the insurance sector.
- Qualifications: 5+ years in business analysis with a focus on data, preferably in insurance.
- Other info: Ideal for proactive individuals passionate about data-driven innovation.
The predicted salary is between 57600 - 84000 £ per year.
Senior Data Business Analyst with insurance experience is required to join a buoyant insurance organisation with offices within the heart of the city. Working within a high-performing data team this role will see you working with business stakeholders, regional data teams, and IT to support the development of strategic data platforms, including a Group Data Lakehouse. You will play a pivotal role in enhancing data capabilities and delivering solutions that support both business-as-usual (BAU) operations and long-term strategic initiatives.
This is a fantastic opportunity for someone with strong insurance industry knowledge and a passion for data-driven transformation.
Key Responsibilities- Lead the analysis, validation, and management of business and system requirements across the full delivery lifecycle.
- Support the design and enhancement of strategic data platforms, with a focus on enabling improved analytical capabilities.
- Act as a key liaison between data teams, IT, Underwriting, Operations, and Finance, ensuring alignment of priorities and clear communication.
- Design and map business processes to support new data products, services, and process improvements.
- Evaluate potential solutions and make recommendations to improve operational efficiency and business outcomes.
- Ensure technical requirements align with business needs and challenge assumptions where necessary to drive value.
- Identify opportunities for innovation in the use of data and emerging technologies.
- Minimum of 5 years’ experience in business analysis, ideally with a focus on data products, data quality, and migration projects.
- Background in the insurance sector — ideally within an MGA, broker, or (re)insurance carrier.
- Strong understanding of data operations and data management principles.
- Proven ability to engage with stakeholders at all levels and communicate complex concepts clearly.
- Excellent organisational and prioritisation skills with a methodical approach to delivery.
- Confident team player with the ability to work independently and proactively.
- Strong communication, influencing and negotiation skills.
- Commercially aware and up to date with developments in insurance and data technologies.
- Demonstrates initiative and a passion for learning and continuous improvement.
- A varied and impactful role within a dynamic and forward-thinking data team.
- Exposure to high-profile, business-critical data initiatives.
- A supportive and collaborative working environment.
- Hybrid working and flexibility.
- Opportunities for professional growth and development.
Interested? If you are a motivated and experienced business analyst with a strong foundation in data and insurance, this could be the perfect next step in your career.
Data Business Analyst, Insurance employer: ARC IT Recruitment
Contact Detail:
ARC IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Business Analyst, Insurance
✨Tip Number 1
Familiarise yourself with the latest trends in data management and analytics within the insurance sector. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the insurance and data analytics fields. Attend industry events or join relevant online forums to connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 3
Prepare to discuss specific examples of how you've improved data processes or contributed to strategic initiatives in your previous roles. Being able to articulate your impact will set you apart from other candidates.
✨Tip Number 4
Research StudySmarter's current projects and initiatives related to data platforms. Showing that you understand our goals and how you can contribute will make a strong impression during the interview process.
We think you need these skills to ace Data Business Analyst, Insurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in business analysis, particularly within the insurance sector. Emphasise your skills in data management and any relevant projects you've worked on that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven transformation and your understanding of the insurance industry. Mention specific examples of how you've successfully engaged with stakeholders and improved operational efficiency in previous roles.
Highlight Relevant Skills: In your application, clearly outline your organisational and prioritisation skills. Provide examples of how you've managed complex projects and communicated effectively with various teams, as these are key requirements for the role.
Showcase Continuous Improvement: Demonstrate your initiative and commitment to learning by mentioning any recent training or certifications related to data analysis or insurance. This will show your potential employer that you are proactive and dedicated to professional growth.
How to prepare for a job interview at ARC IT Recruitment
✨Showcase Your Insurance Knowledge
Make sure to highlight your experience in the insurance sector during the interview. Discuss specific projects or roles where you applied your industry knowledge, as this will demonstrate your understanding of the business context and its challenges.
✨Prepare for Technical Questions
Expect questions related to data management principles and analytical capabilities. Brush up on relevant tools and technologies, and be ready to discuss how you've used them in past roles to enhance data operations.
✨Demonstrate Stakeholder Engagement Skills
Be prepared to provide examples of how you've successfully engaged with various stakeholders. Highlight your communication skills and how you've navigated complex discussions to align priorities across teams.
✨Emphasise Problem-Solving Abilities
Think of instances where you've identified opportunities for innovation or improved operational efficiency. Share these examples to showcase your proactive approach and ability to drive value through data-driven solutions.
