At a Glance
- Tasks: Deliver impactful data insights and analytics to support underwriting teams.
- Company: Leading insurance company with a focus on data-driven decision making.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a dynamic team promoting a data-driven culture and exploring new technologies.
- Why this job: Make a real impact by translating complex data into actionable insights.
- Qualifications: Experience in data analysis within insurance and strong Power BI skills.
The predicted salary is between 80000 - 80000 £ per year.
We're hiring a Senior Data Insights Analyst to join a growing Data & Analytics function supporting underwriting and portfolio teams within a leading insurance environment. This is a highly visible, business-facing role where you'll partner directly with underwriting, actuarial and portfolio stakeholders to deliver impactful insights and drive data-led decision making.
The Role
- Deliver high-quality analytics, MI and reporting solutions to support underwriting strategy
- Act as a key analytics partner to underwriting and portfolio teams
- Translate complex data into clear, actionable business insight
- Build and enhance Power BI dashboards and reporting solutions
- Perform deep-dive analysis to identify trends, risks and opportunities
- Drive improvements in data quality, processes and insight capability
- Promote a data-driven culture across the business
- Explore new tools, AI capabilities and data sources
What We're Looking For
- Strong experience in a data/insights role within insurance
- Good understanding of underwriting or broking processes
- Advanced Excel + strong Power BI capability
- Solid experience with SQL
- Proven ability to engage stakeholders and influence decisions
- Strong communication skills – able to explain data to non-technical audiences
- Experience delivering MI, dashboards and analytical insight
Nice to Have
- Experience with Delegated Authority / Bordereaux data
- Exposure to Python, R or advanced analytics
- Experience with Power Platform tools
Senior Data Analyst employer: Lorien
Join a dynamic and innovative team as a Senior Data Analyst in London, where you'll play a pivotal role in shaping data-driven decision-making within a leading insurance environment. Our company fosters a collaborative work culture that values continuous learning and professional growth, offering competitive salaries and hybrid working options to ensure a healthy work-life balance. With access to cutting-edge tools and technologies, you'll have the opportunity to enhance your skills while making a meaningful impact on our underwriting and portfolio strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and data analytics space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and any analytical projects you've worked on. This is your chance to demonstrate how you can translate complex data into actionable insights, just like the role requires.
✨Tip Number 3
Prepare for those interviews! Research the company’s underwriting processes and think about how your experience aligns with their needs. Be ready to discuss how you’ve driven data-led decision making in past roles – they’ll want to see that you can hit the ground running.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you. Plus, it shows you’re genuinely interested in joining our team and makes it easier for us to find your application.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience in data analytics, especially within insurance, and showcase your skills in Power BI and SQL. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to underwriting and portfolio insights.
Showcase Your Communication Skills:Since this role involves engaging with non-technical stakeholders, it's crucial to demonstrate your ability to communicate complex data clearly. In your application, include examples of how you've successfully explained data insights to different audiences.
Apply Through Our Website:We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves. Plus, it’s super easy and straightforward – just follow the prompts and submit your materials!
How to prepare for a job interview at Lorien
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools mentioned in the job description, especially Power BI and SQL. Prepare to discuss specific projects where you've used these tools to deliver insights, as this will show your practical experience and understanding of the role.
✨Understand the Insurance Landscape
Brush up on your knowledge of underwriting and broking processes. Being able to speak confidently about how data impacts these areas will demonstrate your industry knowledge and make you a more appealing candidate.
✨Engage with Stakeholders
Think of examples where you've successfully engaged with stakeholders to influence decisions. Be ready to share how you translated complex data into actionable insights for non-technical audiences, as this is crucial for the role.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with deep-dive analysis and how you've identified trends, risks, and opportunities in past roles. Highlight any improvements you've driven in data quality or processes, as this aligns perfectly with what they’re looking for.
