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- Tasks: Develop and deliver data analytics solutions to drive strategic decision-making.
- Company: Join a leading international insurance company with a focus on innovation.
- Benefits: Competitive salary, bonus, hybrid working, and generous annual leave.
- Why this job: Make an impact by transforming data into actionable insights for business growth.
- Qualifications: Proficient in SQL, Power BI, and data governance best practices.
- Other info: Collaborative environment with opportunities for professional development.
The predicted salary is between 43200 - 72000 £ per year.
You will join a successful international insurance company who specialise in commercial insurance and reinsurance products. My client is looking for an experienced Analytics Engineer to join their Business Information & Analytics team to support the delivery of data analytics solutions that enable strategic decision‑making. You will also work closely with senior stakeholders to translate business needs into actionable data solutions.
Main Responsibilities:
- Develop and deliver data analytics solutions that align with business goals and strategic needs.
- Collaborate with stakeholders to understand requirements and define actionable data solutions.
- Provide analytical consultancy across projects, identifying opportunities for innovation and process optimisation.
- Promote best practices in data management, modelling, analytics, and the adoption of modern tools and methodologies.
- Support planning and implementation of changes to data warehouse, reporting, and analytics platforms in collaboration with product and technical teams.
- Ensure adherence to regulatory, compliance, and internal policy requirements relevant to the role, including data protection, conduct standards, and operational controls.
Hybrid working (approximately 2 days a week in the office)
Salary up to £72,000 + 12.5% bonus
25 days annual leave + bank holidays + option to buy and sell
Requirements:
- Proficient in data analysis, reconciliation, and testing methodologies, with a solid understanding of database design, data modelling, and data governance best practices.
- Advanced proficiency in SQL, Power BI and Microsoft Suite.
- Good knowledge of data warehousing, stored procedures and pipelining.
- Experience collaborating across business, technical, and support functions, driving alignment and shared outcomes.
- Financial services experience (Insurance experience preferred).
For more information and immediate review, please apply now!
Analytics Engineer employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in analytics roles. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects. Whether it's a cool dashboard in Power BI or a SQL query that solved a tricky problem, let your work speak for itself.
✨Tip Number 3
Prepare for interviews by practising common analytics questions and scenarios. Think about how you can demonstrate your experience with data modelling and stakeholder collaboration during the chat.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Analytics Engineer. Highlight your experience with data analysis, SQL, and any relevant projects that showcase your skills in delivering data solutions that align with business goals.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for our team. Share specific examples of how you've collaborated with stakeholders and provided analytical consultancy in previous roles. This is your chance to shine!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in tools like Power BI and your understanding of data governance best practices. We want to see how you can contribute to our data management and analytics efforts right from the start.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Lorien
✨Know Your Data Tools
Make sure you brush up on your SQL, Power BI, and Microsoft Suite skills. Be ready to discuss how you've used these tools in past projects, as they'll want to see your practical experience and how it aligns with their needs.
✨Understand the Business Context
Familiarise yourself with the insurance industry, especially commercial insurance and reinsurance products. This will help you speak knowledgeably about how data analytics can drive strategic decision-making in this sector.
✨Prepare for Stakeholder Collaboration
Think of examples where you've successfully collaborated with stakeholders to translate business needs into actionable data solutions. Highlight your communication skills and how you ensure alignment across different teams.
✨Showcase Your Analytical Consultancy Skills
Be prepared to discuss how you've identified opportunities for innovation and process optimisation in previous roles. They’ll be looking for someone who can not only analyse data but also provide valuable insights that lead to improvements.
