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Uganda National Institute of Public Health

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Fiber Foods

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Primejack Operations Lead

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Data Analyst - Jinja

Closing: Apr 19, 2024

This position has expired

Published: Apr 16, 2024 (11 days ago)

Job Requirements

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Work experience:

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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.


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