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- Tasks: Lead data initiatives, focusing on reporting, visualisation, and data governance.
- Company: Join a dynamic Lloyd's Insurance Broker shaping the future of data analytics.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Make an impact in the insurance sector while developing your analytical skills.
- Qualifications: Experience with Power BI, SQL, and a solid understanding of data governance required.
- Other info: Ideal for those passionate about data and eager to drive change in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
Data & Analytics Manager – London/Lloyd’s Insurance Market
A growing Lloyd’s Insurance Broker is looking for a Data & Analytics Manager to come onboard and build out their data capabilities.
The role will span business intelligence, mostly reporting and visualisation to start, Data Governance, Data Quality, Data Integrity and more.
This Data & Analytics Manager will need strong stakeholder management experience as well as experience working in London/Lloyd’s Insurance market.
Technical Competencies
- Skilled in using Power BI and Excel to design interactive dashboards and visually compelling reports.
- Extensive experience with SQL; familiarity with data warehouses is advantageous. Proficient or familiar with languages such as Python, R, and JavaScript.
- Solid understanding of data governance principles, including data integrity, regulatory compliance (e.g., GDPR, ISO27001), and best practices in documentation.
Business Competencies
- Knowledge of core insurance concepts such as premiums, claims, loss ratios, and compliance is beneficial.
- Ability to align data strategies with business objectives and identify opportunities to gain competitive advantage.
- Skilled at analyzing complex datasets, uncovering trends, and translating insights into meaningful business decisions.
Leadership & Interpersonal Skills
- Strong collaboration skills, with the ability to communicate insights effectively across all levels of the organization, both technical and non-technical.
- Experience mentoring cross-functional teams, promoting continuous skill development and accountability.
- Comfortable presenting complex analytical findings to senior stakeholders in a clear, concise, and non-technical manner.
Personal Competencies
- Demonstrates critical thinking and problem-solving skills, with a meticulous attention to detail and structured approach to analysis.
- Adept at framing business challenges as analytical problems and delivering practical, data-driven solutions.
- Excellent organizational skills with a proven ability to manage multiple projects concurrently under tight deadlines.
- Committed to continuous learning, with enthusiasm for adopting new technologies and expanding skillsets.
- Upholds high ethical standards and exercises discretion when handling sensitive or regulated information.
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Data & Analytics Manager - London/Lloyd\'s Insurance Market employer: Arthur
Contact Detail:
Arthur Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Analytics Manager - London/Lloyd\'s Insurance Market
✨Tip Number 1
Familiarise yourself with the Lloyd's Insurance Market. Understanding the specific terminology and key players in this sector will help you engage more effectively during interviews and demonstrate your commitment to the role.
✨Tip Number 2
Showcase your technical skills by preparing examples of dashboards or reports you've created using Power BI and Excel. Being able to discuss your hands-on experience with these tools will set you apart from other candidates.
✨Tip Number 3
Network within the insurance industry, especially in London. Attend relevant events or join online forums to connect with professionals who can provide insights or even refer you to opportunities at StudySmarter.
✨Tip Number 4
Prepare to discuss how you've aligned data strategies with business objectives in previous roles. Be ready to share specific examples that highlight your ability to translate data insights into actionable business decisions.
We think you need these skills to ace Data & Analytics Manager - London/Lloyd\'s Insurance Market
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, particularly within the London/Lloyd's Insurance market. Emphasise your skills in Power BI, SQL, and any programming languages mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, demonstrate your understanding of data governance principles and how they apply to the insurance industry. Use specific examples from your past experience to showcase your stakeholder management and leadership skills.
Showcase Technical Skills: When detailing your technical competencies, provide concrete examples of projects where you used Power BI, Excel, or SQL. Mention any experience with data warehouses and how you've ensured data integrity and compliance in previous roles.
Highlight Soft Skills: Don't forget to mention your interpersonal skills and ability to communicate complex data insights clearly. Provide examples of how you've mentored teams or presented findings to senior stakeholders in a non-technical manner.
How to prepare for a job interview at Arthur
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Power BI, SQL, and any programming languages like Python or R. Bring examples of dashboards or reports you've created to demonstrate your technical competencies.
✨Understand the Insurance Market
Familiarise yourself with core insurance concepts such as premiums, claims, and loss ratios. This knowledge will help you align your data strategies with business objectives during the interview.
✨Highlight Stakeholder Management Experience
Prepare to share examples of how you've effectively communicated insights to both technical and non-technical stakeholders. Emphasise your collaboration skills and ability to mentor cross-functional teams.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss how you've approached complex analytical problems in the past. Use specific examples to illustrate your critical thinking and structured approach to delivering data-driven solutions.
