Business Data Analyst

Key Responsibilities

• Participate in the analysis, design, development, support, and enhancement of BI and reporting solutions.
• Develop dashboards, reports, and analytics solutions using Power BI, SQL, Databricks, and Microsoft BI technologies.
• Build and maintain operational dashboards across claims, procurement, and business operations.
• Develop and manage trusted data models and reporting structures that support a single version of the truth.
• Integrate and standardize data from multiple internal and external systems.
• Deliver claims analytics and predictive insights relating to leakage, settlement trends, cycle times, and operational performance.
• Produce procurement analytics, supplier performance reporting, and cost optimisation insights.
• Develop broker and operational performance reporting, forecasting, and risk analysis models.
• Partner with stakeholders to identify business trends, opportunities, and areas for improvement.
• Support data quality initiatives, reconciliations, governance, and reporting controls.
• Automate recurring reporting processes and improve reporting efficiency.
• Document BI assets, reporting definitions, and data models.

Job Experience and Skills Required

• Bachelor's Degree or Diploma in Computer Science, Information Technology, Informatics, Statistics, Mathematics, or a related field.
• Minimum 4 years' experience working within Business Intelligence, Data Analytics, or a similar role.
• Proven experience developing BI and reporting solutions in medium to large organisations.
• Experience working within the insurance or financial services industry is highly advantageous.
• Experience delivering operational, commercial, and performance reporting.
• Exposure to predictive analytics, data modelling, and advanced analytics techniques.
• Experience translating business requirements into actionable reporting and insights.
• Power BI
• SSIS
• SSRS
• Databricks
• Azure Data Factory
• Azure Synapse Analytics
• Microsoft SQL Server
• T-SQL
• Python
• R
• C#, Java, or C++ advantageous
• Data Modelling
• ETL Development
• Predictive Analytics
• Statistical Analysis
• Data Visualisation
• Dashboard Development
• Strong SQL and data modelling skills.
• Proven experience developing business intelligence and reporting solutions.
• Ability to communicate complex findings to both technical and non-technical stakeholders.
• Strong analytical and problem-solving abilities.
• Ability to identify business opportunities and risks through data-driven insights.
• Experience with data visualisation and reporting tools.
• Ability to work effectively across multiple stakeholders and business functions.
• Experience working with cloud-based data platforms and large datasets will be highly advantageous

• Software Developers
• Mobile Developers
• Business and Systems Analysts
• BI and SQL Experts
• Data & Analytics (Data Scientists, Data Analysts, Python, R, SQL, Machine Learning)
  AI & Automation (Artificial Intelligence, Machine Learning, Intelligent Automation, and Process Automation Solutions).