Health systems and data analyst Team Lead

2 weeks ago

Johannesburg, South Africa Kaelo Full time

About Kaelo Kaelo provides essential healthcare solutions ensuring the physical and psychosocial wellbeing of all South Africans towards lasting social change. Kaelo meets the healthcare needs of Corporate and Retail clients across South Africa – products offerings include Medical Insurance, Medical Aid, Gap Insurance, Kaelo Money and employee assistance programmes. Job Description Seeking a talented and results-oriented analyst to join our Health systems and Data analytics team. You will be responsible for developing an in-depth understanding of the Health business. You will work with the business to ensure business requirements are interpreted and understood correctly. You will also extract data, develop reports, and create presentations as required. An essential part of your role will be to reconcile and validate data and reports to ensure the information is accurate. It is very important that the data and systems analyst understand the information in the report they are creating and distributing. They will be expected to critically analyse the reports and the results. Job requirements Partner with stakeholders to understand data requirements and translate them into clear and concise analytical questions. Develop reports and dashboards based on needs of stakeholders. Access, clean, and transform large datasets from various sources using SQL and data manipulation tools (e.g., Python libraries, Jupyter notebook). Perform exploratory data analysis to identify trends, patterns, and anomalies. Develop and implement statistical models and reporting dashboards to visualize data insights. Communicate complex data findings effectively through reports, presentations, and visualizations tailored to diverse audiences. Generate data-driven recommendations to support informed decision-making across various business functions. Stay up-to-date on emerging data analysis techniques and technologies, continuously seeking opportunities to improve data-driven processes. Maintain a high level of data quality and ensure data integrity throughout the analysis process. Collaborate with IT and data engineering teams to access and integrate data as needed. Document data analysis processes and methodologies for clear communication and knowledge

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