Business Data Analsyt

SUMMARY:

POSITION INFO:
Key Responsibilities Business Intelligence & Reporting Analyse, design, develop, support, and maintain reporting and analytics solutions. Develop BI solutions using SQL, ETL processes, database programming, and reporting tools within the Microsoft BI ecosystem. Design and develop operational dashboards across claims, procurement, and business operations. Create and maintain governed data models and semantic layers to ensure a consistent and reliable source of business information. Integrate and standardise data from multiple internal and external systems. Automate recurring reporting processes and improve reporting efficiency. Document BI assets, reporting standards, and data definitions. Analytics & Insights Develop claims analytics focusing on cycle times, claims leakage, SLA performance, severity trends, and settlement analysis. Deliver procurement analytics, including spend analysis, supplier performance measurement, and cost optimisation opportunities. Monitor broker and binder performance through reporting, forecasting, and risk analytics. Generate product and commercial insights by identifying profitability drivers and growth opportunities. Support pricing initiatives through data analysis and process enhancement. Develop forward-looking KPIs, predictive alerts, and operational monitoring frameworks. Data Governance & Quality Maintain strong data quality controls and reconciliation processes. Support data governance initiatives and ensure reporting accuracy and integrity. Translate complex data findings into meaningful business recommendations. Minimum Requirements Qualifications Bachelor's Degree or Diploma in: Informatics Computer Science Statistics Mathematics Information Technology Related analytical discipline Experience Minimum 4 years' experience in a Business Intelligence, Data Analytics, or related role. Previous experience developing BI solutions within medium to large organisations. Strong experience within Microsoft BI environments. Insurance industry experience is highly advantageous, particularly within: Claims Analytics Underwriting Analytics Pricing Analytics Broker Performance Reporting Essential Technical Skills Power BI SSIS SSRS Databricks Python Azure Data Factory Azure Synapse Analytics Microsoft SQL Server T-SQL Additional Technical Experience Experience with one or more of the following: Python R Java C# C++ Knowledge of machine learning and predictive analytics frameworks such as: Scikit-learn TensorFlow PyTorch Experience with cloud and big-data technologies, including: Azure Databricks Hadoop Spark Kafka AWS Google Cloud Platform Key Competencies Strong analytical and problem-solving capabilities. Ability to translate business requirements into actionable data solutions. Experience designing, maintaining, and explaining complex data models. Strong understanding of statistical analysis and predictive modelling techniques. Ability to identify business opportunities through data-driven insights. Commercially minded, with the ability to convert data findings into business value. Excellent verbal and written communication skills. Strong stakeholder engagement and relationship-management skills. Ability to manage multiple priorities and work effectively under pressure. Collaborative team player capable of working across diverse technical and business teams. Apply now! For more IT jobs, please visit \/> I also specialise in recruiting in the following: Software Development Data Engineer Data Analyst Infrastructure Architecture ... and more! If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles \/ positions. For more information contact: Sfundo Shoba Recruitment Consultant