Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to enhance reporting and analytics using Power BI and machine learning.
- Company: Be part of a respected Specialty Insurance organisation experiencing exciting growth.
- Benefits: Enjoy a competitive salary and the chance to work with cutting-edge data technologies.
- Why this job: Contribute to impactful data-driven solutions while collaborating with diverse business teams.
- Qualifications: Experience in predictive analytics, Power BI, and coding in Python is essential.
- Other info: This role offers a unique opportunity to influence AI adoption in 2025.
The predicted salary is between 48000 - 72000 £ per year.
I am currently searching for a Senior Analytics Engineer to join a Data Analytics team within a Specialty Insurance organisation. This position plays a key role in enhancing reporting and analytics capabilities across the entire organization. Their current team brings strong expertise in Power BI and Tabular models, and they are now looking to strengthen it further with someone who has a background in machine learning and AI. This is a business-facing role, requiring someone who can help plan and coordinate the delivery of data-driven solutions aligned with business objectives. We've recently rolled out a modern Data Platform featuring embedded Power BI, and we're seeking someone who can combine technical skills with business insight to contribute to the development of content through an AGILE delivery methodology.
Key Responsibilities
- Collaborate with business teams to define reporting needs and deliver effective solutions
- Build and maintain reporting solutions using Power BI, SSAS Tabular, and predictive tools
- Lead technical development and offer guidance on analytics projects
- Maintain and improve existing reporting assets
- Ensure solutions are thoroughly tested and properly documented
- Optimize data models and promote best practices in performance
- Stay current with data and reporting tech trends, including supporting AI adoption in 2025
- Foster strong internal stakeholder relationships
- Manage personal workload and align with delivery plans
Required Experience
- Proven experience with predictive analytics, including forecasting and scenario modelling
- Advanced development of SSAS Tabular data models
- Expertise in Power BI, including dashboards and paginated reports
- Practical experience applying AI tools to enhance analytics or operations
- Comfortable coding in Python
- Strong DAX and T-SQL skills, including query optimization
- Industry experience in insurance or financial services is a plus
- Familiarity with Databricks is advantageous
- Confident working with stakeholders across various business levels
This is an excellent opportunity to join a well-respected Insurance business during an exciting period of growth.
Senior Data Analyst employer: Cornwallis Elt
Contact Detail:
Cornwallis Elt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics, particularly in Power BI and machine learning. This will not only help you understand the role better but also allow you to engage in meaningful conversations with the interviewers about how these technologies can be leveraged in the insurance sector.
✨Tip Number 2
Network with professionals in the insurance and data analytics fields. Attend industry events or webinars where you can meet potential colleagues or even hiring managers. Building these connections can give you insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented predictive analytics or machine learning solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Showcase your ability to work collaboratively with business teams. Think of examples where you've translated complex data insights into actionable business strategies. Highlighting your communication skills and stakeholder management will set you apart as a candidate who can bridge the gap between technical and business needs.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI, SSAS, T-SQL, and machine learning. Use specific examples from your previous roles that demonstrate your ability to deliver data-driven solutions.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Senior Analytics Engineer position and how your skills align with the company's goals. Mention your experience in predictive analytics and your familiarity with AI tools.
Showcase Relevant Projects: If you have worked on projects involving data modelling or analytics in the insurance sector, be sure to include these in your application. Highlight your role and the impact of your contributions.
Highlight Stakeholder Engagement: Since this role requires collaboration with business teams, emphasise your experience in managing relationships with stakeholders. Provide examples of how you've successfully communicated technical concepts to non-technical audiences.
How to prepare for a job interview at Cornwallis Elt
✨Showcase Your Technical Skills
Make sure to highlight your expertise in Power BI, SSAS, and T-SQL during the interview. Prepare examples of how you've used these tools in previous roles, especially in predictive analytics and machine learning projects.
✨Understand the Business Context
Since this role is business-facing, it's crucial to demonstrate your understanding of how data-driven solutions can align with business objectives. Research the company’s current analytics capabilities and think about how you can contribute to their growth.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to handle real-world scenarios. Be ready to discuss how you would approach specific challenges related to reporting needs or stakeholder management.
✨Emphasise Collaboration and Communication
This position requires strong relationships with internal stakeholders. Be prepared to discuss your experience working collaboratively with different teams and how you’ve effectively communicated technical concepts to non-technical audiences.
