Our leading client is currently recruiting for talented Senior Analytics Engineer to join their Data Analytics team. You'll play a pivotal role in advancing their reporting, predictive analytics & AI capabilities across the company. This is a hybrid role with 2 days in Manchester officer per week
About the Role: In this business-facing position, you'll collaborate closely with various teams to plan and coordinate the delivery of data-driven solutions that align with our business objectives. Our team boasts strong expertise in Power BI and Tabular models, and we're looking to enhance it further with your background in machine learning and AI. With our recently launched modern Data Platform featuring embedded Power BI, you'll combine technical prowess with business insight to develop content through an AGILE delivery methodology.
Key Responsibilities:
* Partner with business teams to identify reporting needs and deliver effective solutions
* Develop and maintain reporting solutions using Power BI, SSAS Tabular, and predictive tools
* Lead technical development and provide guidance on analytics projects
* Enhance and maintain existing reporting assets
* Ensure thorough testing and proper documentation of solutions
* Optimize data models and promote best practices for performance
* Stay updated with data and reporting technology trends, including supporting AI adoption in 2025
Required Experience:
* Proven experience in predictive analytics, including forecasting and scenario modeling
* Advanced development skills in SSAS Tabular data models
* Expertise in Power BI, including dashboards and paginated reports
* Practical experience with AI tools to enhance analytics or operations
* Proficiency in Python coding
* Strong DAX and T-SQL skills, including query optimization
* Industry experience in insurance or financial services is a plus
* Familiarity with Databricks is advantageous