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Data Analysts

Company:
Uganda National Institute of Public Health (UNIPH)
Location:
Kampala, Uganda
Posted:
April 15, 2024
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Description:

Date Posted: Saturday, April 13 2024, Base Salary: Not Disclosed Similar Jobs in Uganda Learn more about Uganda National Institute of Public Health (UNIPH) Uganda National Institute of Public Health (UNIPH) jobs in Uganda JOB DETAILS: The Uganda National Institute of Public Health (UNIPH), Ministry of Health has received funding from the Korean Foundation for International Healthcare to support the Health Informatics Program and the National /Regional Public Health Emergency Operations Centres.

UNIPH seeks to fill the following position.

Title: Data Analyst Reports to: Manager – Jinja & Mubende Regional Emergency Operations Centres Duty Station: Jinja and Mubende Regional Emergency Operations Centres Number of Positions: Two (2) Job Summary Data Analyst specializing in Health Emergencies will play a crucial role in collecting, analyzing, and interpreting data to support decision-making and response efforts during public health crises such as pandemics, natural disasters, disease outbreaks, and other emergencies.

The employee will involve handling large volumes of health-related data, identifying trends, patterns, and risk factors, and providing actionable insights to aid in preparedness, response, and recovery efforts.

Roles and Responsibilities Data Collection and Integration • Collect, aggregate, and integrate data from various sources including health surveillance systems, hospitals, laboratories, public health agencies, and other relevant sources.

• Ensure the quality, consistency, and accuracy of data through validation, cleaning, and normalization processes.

Epidemiological Analysis • Analyze epidemiological data to monitor disease transmission dynamics, identify hotspots, and assess the impact of health emergencies on populations.

• Conduct spatial and temporal analysis to track the spread of diseases and assess the effectiveness of control measures.

Predictive Modeling and Forecasting • Develop predictive models using statistical techniques and machine learning algorithms to forecast disease outbreaks, healthcare demand, and resource needs.

• Generate scenario-based projections to support contingency planning and decision-making by healthcare authorities.

Surveillance and Early Warning Systems • Collaborate with various departments within the regional referral hospital to ensure timely preparation and dissemination of situation reports to key stakeholders, facilitating informed decision-making processes.

• Design, implement, and maintain surveillance systems and early warning mechanisms to detect and monitor emerging health threats in real-time.

• Collaborate with epidemiologists, public health experts, and data scientists to improve the sensitivity and specificity of surveillance algorithms.

Risk Assessment and Vulnerability Mapping • Conduct risk assessments to identify vulnerable populations, assess their susceptibility to health emergencies, and prioritize intervention strategies.

• Create vulnerability maps and heat maps to visualize spatial disparities in healthcare access, socio-economic factors, and other determinants of health outcomes.

Communication and Reporting • Prepare and disseminate reports, dashboards, and situational analyses to communicate key findings, trends, and recommendations to stakeholders and decision-makers.

• Collaborate with communication teams to develop data-driven communication strategies for public awareness and behavior change.

Capacity Building and Training • Provide technical assistance, training, and capacity-building support to public health professionals, emergency responders, and data analysts involved in health emergency response efforts.

• Develop and deliver workshops, webinars, and training materials on data analysis, epidemiology, and public health surveillance.

Skills and Qualifications • Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R.

• Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.

• Capable of critically evaluating data to derive meaningful, actionable insights.

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