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- Tasks: Join a team to enhance reporting and analytics in specialty insurance.
- Company: A leading Specialty Insurance organisation focused on data-driven solutions.
- Benefits: Enjoy a hybrid work model with competitive salary and modern tech tools.
- Why this job: Be part of an innovative team using AI and machine learning to drive business success.
- Qualifications: Experience in predictive analytics, Power BI, and coding in Python required.
- Other info: Opportunity to work with a modern Data Platform and contribute to AI adoption.
The predicted salary is between 60000 - 84000 £ per year.
We're on the lookout 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
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
Senior Analytics Engineer - Speciality Insurance - Manchester City employer: Cornwallis Elt Ltd
Contact Detail:
Cornwallis Elt Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer - Speciality Insurance - Manchester City
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI, especially as they relate to analytics in the insurance sector. This knowledge will not only help you stand out but also demonstrate your commitment to staying current in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the insurance and analytics fields, particularly those who work with Power BI and SSAS Tabular models. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨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, as this will showcase your problem-solving skills.
✨Tip Number 4
Brush up on your DAX and T-SQL skills, focusing on query optimisation techniques. Being able to demonstrate your technical prowess in these areas during discussions will highlight your capability to contribute effectively to the team.
We think you need these skills to ace Senior Analytics Engineer - Speciality Insurance - Manchester City
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in predictive analytics, Power BI, and machine learning. Use specific examples from your past 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 needs. Mention your experience with SSAS Tabular models and any familiarity with AI tools.
Showcase Technical Skills: Be explicit about your technical skills in Python, DAX, and T-SQL. Provide examples of how you've used these skills in previous projects, especially in relation to optimizing data models and enhancing reporting capabilities.
Highlight Industry Knowledge: If you have experience in the insurance or financial services industry, make sure to highlight this in your application. Discuss how your industry knowledge can contribute to the company's objectives and enhance their analytics capabilities.
How to prepare for a job interview at Cornwallis Elt Ltd
✨Showcase Your Technical Skills
Make sure to highlight your experience with Power BI, SSAS Tabular, and any predictive analytics tools you've used. Be prepared to discuss specific projects where you applied these skills, especially in relation to machine learning and AI.
✨Understand the Business Context
Since this role is business-facing, demonstrate your understanding of how data-driven solutions can align with business objectives. Prepare examples of how you've collaborated with business teams to deliver effective reporting solutions.
✨Prepare for Technical Questions
Expect questions that test your knowledge of DAX, T-SQL, and Python coding. Brush up on query optimisation techniques and be ready to solve problems on the spot, as this will showcase your analytical thinking.
✨Stay Current with Industry Trends
Familiarise yourself with the latest trends in data analytics and AI, particularly in the insurance sector. Being able to discuss how these trends can impact the organisation will show your enthusiasm and forward-thinking approach.
