At a Glance
- Tasks: Deliver impactful data insights and analytics to support underwriting and portfolio 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 with excellent career advancement opportunities.
- Why this job: Make a real impact by translating complex data into actionable insights.
- Qualifications: Strong experience in data roles, advanced Excel, Power BI, and SQL skills required.
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 in Slough employer: Lorien
Join a dynamic and innovative team as a Senior Data Analyst in London, where you'll have the opportunity to make a significant impact within a leading insurance environment. Our company fosters a collaborative work culture that values data-driven decision making, offering robust employee growth opportunities and access to cutting-edge tools and technologies. With a hybrid working model and a commitment to promoting a data-centric culture, we provide an excellent platform for you to thrive and develop your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data analytics space. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have a lead on that Senior Data Analyst role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Power BI dashboards and analytical insights. This is your chance to demonstrate how you can translate complex data into actionable business insights. Make sure to highlight any projects that align with underwriting or portfolio management.
✨Tip Number 3
Prepare for those interviews! Research the company’s underwriting processes and think about how your experience can add value. Be ready to discuss specific examples of how you've driven data-led decision making in the past. Confidence is key!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight your SQL skills and stakeholder engagement experience. Let’s get you that Senior Data Analyst position together!
We think you need these skills to ace Senior Data Analyst in Slough
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 any relevant projects or experiences that demonstrate your ability to deliver impactful insights.
Showcase Your Communication Skills:Since this role involves engaging with non-technical stakeholders, it's crucial to highlight your communication skills. In your application, give examples of how you've successfully explained complex data insights to different audiences. We love seeing candidates who can bridge the gap between data and business!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows us you're keen on joining the StudySmarter family!
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.
✨Speak Their Language
Since this role involves working closely with underwriting and portfolio teams, brush up on insurance terminology and processes. Being able to communicate complex data insights in a way that resonates with non-technical stakeholders will set you apart from other candidates.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified trends, risks, or opportunities through deep-dive analysis in previous roles. Highlighting your analytical thinking and ability to drive data-led decision-making will demonstrate your value to the team.
✨Be Ready to Discuss Future Trends
Stay updated on emerging tools and AI capabilities in data analytics. Be prepared to share your thoughts on how these innovations could enhance the data quality and insight capability within the insurance sector, showing that you're forward-thinking and eager to promote a data-driven culture.
