Data Analysts

at Uganda National Institute of Public Health (UNIPH)
Location Kampala, Uganda
Date Posted April 15, 2024
Category Computer & IT Jobs in Uganda
Job Type FULL_TIME
Currency UGX

Description

Date Posted: Saturday, April 13 2024, Base Salary: Not Disclosed

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Learn more about Uganda National Institute of Public Health (UNIPH)
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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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