Senior Analytics Engineer - Speciality Insurance - Manchester City Central - Hybrid - Machine Learning - £75, - £85,
We're on the lookout for a Senior Analytics Engineer to join a Data Analytics team within a Specialty Insurance organisation backed by private equity. 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
1. Collaborate with business teams to define reporting needs and deliver effective solutions
2. Build and maintain reporting solutions using Power BI, SSAS Tabular, and predictive tools
3. Lead technical development and offer guidance on analytics projects
4. Maintain and improve existing reporting assets
5. Ensure solutions are thoroughly tested and properly documented
6. Optimize data models and promote best practices in performance
7. Stay current with data and reporting tech trends, including supporting AI adoption in
8. Foster strong internal stakeholder relationships
9. Manage personal workload and align with delivery plans
Required Experience
10. Proven experience with predictive analytics, including forecasting and scenario modelling
11. Advanced development of SSAS Tabular data models
12. Expertise in Power BI, including dashboards and paginated reports
13. Practical experience applying AI tools to enhance analytics or operations
14. Comfortable coding in Python
15. Strong DAX and T-SQL skills, including query optimization
16. Industry experience in insurance or financial services is a plus
17. Familiarity with Databricks is advantageous
18. Confident working with stakeholders across various business levels