THINK is a non-profit organisation founded in 2013 to improve the quality of life of people affected by TB and HIV in South Africa and around the world.
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Duties and Responsibilities include but are not limited to :
Collaborate with cross-functional teams, including healthcare professionals, and IT, to understand data requirements and visualisation objectives.
Design and implement an interactive data visualisation system that effectively presents complex health data to various stakeholders, enabling them to make informed decisions.
Develop and maintain a user-friendly web-based data repository that houses health-related datasets, ensuring data integrity, security, and accessibility.
Clean, preprocess, and transform raw data from diverse sources into formats suitable for visualisation and analysis.
Utilise advanced data visualisation techniques and tools to create compelling and insightful visual representations of health data trends, patterns, and insights.
Work closely with domain experts to identify key performance indicators (KPIs) and metrics relevant to healthcare decision-making, and translate them into visual components.
Collaborate with the IT team to ensure seamless integration of data visualisation solutions with existing systems and infrastructure.
Stay up-to-date with the latest advancements in data visualisation technologies and methodologies, and apply them to enhance the organisations data visualisation capabilities.
Conduct training sessions and workshops to enhance the data literacy of internal and external stakeholders, enabling them to effectively navigate and interpret visualised health data as required.
Contribute to the development of data-driven strategies that address healthcare challenges, improve patient outcomes, and support evidence-based policymaking.
Requirements:
Honours or Masters degree in data science or Information Technology.
Minimum 3 - 5 years’ experience in the data analytics environment.
Proven experience as a Data Scientist or Data Analyst.
Experience in data mining.
Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an advantage.
Experience using business intelligence tools (e.g. Power BI, Tableau) and data frameworks (essential).
Proficiency in MS Office 365 with well-developed Excel skills (essential).
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