Senior BI Developer

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Sector: Technology
Role: Senior Executive
Contract Type: Permanent
Hours: Full Time

• Designing, developing and maintaining BI solutions (Dashboards, reports and data models-semantic, using tools such as PowerBI, SQL).
• Support the Head of Data Analytics and Insight with identifying and documenting the end to end data architecture incl. systems and relevant processes across MRS GM.
• Identifying gaps/areas for improvement across the data eco-system and outline appropriate solutions.
• Be the figurehead for data support throughout MRS GM ensuring that the team as well as decentralised analysts have the support needed to do their job.
• Be involved with the creation and implementation of the advanced analytical strategy for MRS GM ensuring decentralised analytical units have the technical support required. Furthermore, support areas without capability in exploring their respective advanced analytical use cases.
• Build and maintain automated, fault-tolerant, scalable data solutions that are continuously delivered into our production environment.
• Be technically curious, tackling problems without giving up, and producing solutions that more junior analysts can use, maintain, and learn from.
• Gather, understand and document detailed business requirements for data using appropriate tools and techniques, and ensure these are agreed at all levels throughout the business.
• Monitor, validate and reconcile the data collected on an ongoing basis, establishing internal confidence in the accuracy of the data available.
• Continuously scout the market for potential improvements to processes and technology. Be fearless in testing new ideas and accepting that some will fail.
• Build insightful analytics using our modern data platform to support various functions within the business, including Pricing, Product, Finance, Claims and Compliance.
• Using our analytical tooling, build comprehensive automated reporting providing visibility on performance for internal and external stakeholders.

• Excellent verbal, written and visual communication of technical concepts.
• Proven experience working with data in an agile and dynamic team, with experience working with relational databases and writing SQL and python or similar.
• Power BI (semantic data modelling and DAX skills).
• Experience in Data Lake technologies (DataBricks) and/or Dataiku.
• Experience with Data Science and AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Knowledge of machine learning algorithms, statistical modelling, and AI-driven analytics.
• Data analysis, management, and visualisation expertise.
• Proactively manages conflicts within their workstack, clearly communicating any delays and managing expectations effectively.

If you are excited about this role but your experience does not align perfectly with everything outlined, or you don't meet every requirement, we encourage you to apply anyway. You might just be the candidate we are looking for!

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