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Data Analyst Jobs in Uganda
65
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Uganda National Institute of Public Health
Data Analyst - Mubende
Mubende, Uganda
Uganda National Institute of Public Health
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Jinja, Uganda
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Kampala, Uganda
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NORC at the University of Chicago
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Impact Initiatives
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Kampala, Uganda
NORC at the University of Chicago
Senior M & E Director
Kampala, Uganda
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Product Experiments Associate
Kampala, Uganda
Closing: Apr 19, 2024
Closing todayPublished: Apr 16, 2024 (4 days ago)
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Job Summary
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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.
Requirements
• 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.
• Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.
• A bachelor’s degree in Computer Science, Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous.
• Adept at report writing and presenting findings.
• Ability to work under pressure and meet tight deadlines.
• A deep understanding of emergency operations is a plus
• 3-5 years of experience
Job application procedure
Expression of Interest should Include the following;
• Cover Letter
• Curriculum Vitae
• One recommendation from your current supervisor or someone who understands your competences in your current field.
Interested applicants should send their applications to our email address at [email protected]
Responsibilities
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.
Requirements
• 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.
• Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.
• A bachelor’s degree in Computer Science, Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous.
• Adept at report writing and presenting findings.
• Ability to work under pressure and meet tight deadlines.
• A deep understanding of emergency operations is a plus
• 3-5 years of experience
Job application procedure
Expression of Interest should Include the following;
• Cover Letter
• Curriculum Vitae
• One recommendation from your current supervisor or someone who understands your competences in your current field.
Interested applicants should send their applications to our email address at [email protected]
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.
Applications submitted via Fuzu have 32% higher chance of getting shortlisted.