Data Manager A1/A2 at NYANZA DISTRICT HEALTH: (Deadline 27 May 2022)
Job description
1. Define and provide guidelines and methods for data collected and data analysis in the hospital and health centers
2. Prepare data collected in health centers and hospital then test their validity and reliability and create a database
3. Do hospital and health centers data quality audit.
4. Ensure the security of data including their backups
5. Participate in hospital data verification and validation.
6. Do data entry into different health information systems database on time as recommended.
7. Define the Bio-Medical Statistics strategy in accordance with the strategic plan of the hospital
8. Evaluate the statistical methods and procedures used to obtain data in order to ensure validity applicability, efficiency and accuracy.
9. Provide all data related to the patients and researchers
10. Develop and updated models for the calculation of common indicators (Excel) of the various services of the Hospital: then do the descriptive analysis of monthly and quarterly data for each service.
11. Updating and collecting data from different parts of the hospital namely (PMTCT, VCT, ART, TB, etc ….) and to ensure their reliability.
12. Ensure the capture of all data and transmission of daily hospital report.
13. The management and analysis of SIS data collected by health centers.
14. Make descents centers health’s to verify the reliability and quality of data.
15. Provide feedback information to the holder of the health centers and data manager at the health center.
16. Give exposed in relation to the collection and reliability of data.
17. prepare monthly , quarterly and annual activities of its
18. Ensure archiving reports SIS health centers and the hospital.
19. Participate in operational research.
20. Respect the calendar of supervision of health centers and hospital.
21. Consolidate statistical reports from different services and projects operating under hospital.
22. Do everything else asked by his or her supervisor in the work
Minimum Qualifications
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Bachelor’s Degree in Statistics
0 Year of relevant experience
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Bachelor’s Degree in Applied Mathematics
0 Year of relevant experience
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Bachelor’s Degree in Environmental Health Sciences
0 Year of relevant experience
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Bachelor’s Degree in Data Science
0 Year of relevant experience
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Advanced diploma in Information and Communication Technology
0 Year of relevant experience
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Information Systems
0 Year of relevant experience
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Advanced Diploma in Clinical Medicine
0 Year of relevant experience
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Advanced Diploma in Environmental Health Sciences
0 Year of relevant experience
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Advanced Diploma in Public Health
0 Year of relevant experience
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Advanced Diploma in Community Health
0 Year of relevant experience
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Bachelor’s Degree in Community Health
0 Year of relevant experience
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Bachelor’s Degree in Information Communication & Technology
0 Year of relevant experience
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Bachelor’s Degree in Demography
0 Year of relevant experience
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Bachelor’s Degree in Global Health
0 Year of relevant experience
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Bachelor’ Degree in Nursing
0 Year of relevant experience
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Advanced Diploma in Nursing
0 Year of relevant experience
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Information Systems
0 Year of relevant experience
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Advanced diploma in Demography
0 Year of relevant experience
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Bachelor’s Degree in Clinical Medicine and Community Health
0 Year of relevant experience
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Bachelor’s Degree in Paramadecal
0 Year of relevant experience
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Advanced Diploma in Paramadecal
0 Year of relevant experience
Competency and Key Technical Skills
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Integrity
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Strong critical thinking skills and excellent problem solving skills.
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Inclusiveness
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Accountability
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Communication
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Teamwork
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Client/citizen focus
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Professionalism
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Commitment to continuous learning
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Digital literacy skills
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Ability to present statistical results and conclusions effectively in appropriate tabular, graphic and written forms
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Resource management skills
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Problem solving skills
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Decision making skills
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Time management skills
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Risk management skills
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Results oriented
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Fluency in Kinyarwanda, English and/or French. Knowledge of all is an added advantage
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Knowledge and skill in M&E, health data analysis, management and reporting
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Extensive knowledge and understanding of the Rwandan Health system
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Analytical skills;
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