Data Manager and Statistician Under Statute at NYAMAGABE DISTRICT HEALTH: (Deadline 29 December 2022)

Data Manager and Statistician Under Statute at NYAMAGABE DISTRICT HEALTH: (Deadline 29 December 2022)

Data Manager and Statistician Under Statute at NYAMAGABE DISTRICT HEALTH: (Deadline 29 December 2022)

Job description

The Data Manager and Statistician is responsible of collecting, maintaining, and analyzing data following institution’s management plans and procedures.
• Ensure timeliness, accuracy, completeness of data collected at the health facilities • Supervise and provide instructions for workers collecting and tabulating data.
• Collection, analysis, interpretation and production of hospital Statistics
• Report results of statistical analyses, including information in the form of graphs, charts, and tables.
• Consolidate statistical reports from different services/departments and projects operating under hospital.
• Provide reports of birth, death audit, disease surveillance and other HMIS reports to the supervisors
• Data entry and actively participate in internal and external data quality assessment
• Supervise health centers in the catchment area to verify the reliability and quality of data.
• Participate in hospital operational research and monitoring& evaluation activity
• Perform other related duties as required by his/her supervisor

  • Minimum Qualifications

    • Bachelor’s Degree in Statistics

      0 Year of relevant experience

    • Bachelor’s Degree in Applied Statistics

      0 Year of relevant experience

    • Bachelor’s Degree in Applied Mathematics

      0 Year of relevant experience

    • Bachelor’s Degree in Data Sciences

      0 Year of relevant experience

    Competency and Key Technical Skills

    • Integrity

    • Strong critical thinking skills and excellent problem solving skills.

    • Inclusiveness

    • Accountability

    • Communication

    • Teamwork

    • Client/citizen focus

    • Professionalism

    • Commitment to continuous learning

    • Familiar with statistical software, possess good data entry and work processing skills

    • Must be computer literate, and be familiar with statistical, econometric and database development software packages such as EXCEL, ODK, SPSS and STATA etc;






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