2 Job Positions of Health information Data quality Audit specialist at MOH:Deadline: Jan 23, 2025

By
B. Claire
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0
357

Job responsibilities

Data management enhancement and control • Elaboration of Data validation rules, in various Ministry of Health database applications. • Overseeing indicator calculations to ensure that indicators are consistent across different activities and systems • Provide technical support for the improvement of data quality • Training in the use of information, tools and software for improving data quality • Ensure quality of MoH data and quality control mechanisms; train users on best practices to ensure the consistency and quality of data 2. Ensure the development and maintain data management applications • Provides professional development and training of R-HMIS users on new application and maintain data quality in different systems. • Develops and manages Data validation rules, data-integrity, data cleaning and ensure data quality standards of reported data. • Assist in Development of reports and publications, training materials, and other materials. • Developing norms and guidelines for general health information collection and analysis 3. Carry out compliance audits • Performs database and application interoperability and regular data interchanges and update between R-HMIS database and data-warehouse • Develop and maintain information architectures (data, application, network) ensuring the system is on-line daily • Promote the use of the Health Information system, and presenting data to guide decisions, management of high quality data, as well as indicators update and definition




Qualifications

    • 1

      Bachelor’s Degree in Statistics

      3 Years of relevant experience

    • 2

      Master’s Degree in Development Studies

      1 Years of relevant experience

    • 3

      Master’s Degree in Statistics

      1 Years of relevant experience

    • 4

      Master’s Degree in Applied Mathematics

      1 Years of relevant experience

    • 5

      Bachelor’s Degree in Applied Mathematics

      3 Years of relevant experience

    • 6

      Master’s Degree in Data Sciences

      1 Years of relevant experience

    • 7

      Bachelor’s Degree in Data Sciences

      3 Years of relevant experience



    • 8

      Bachelor’s Degree in Public Health

      3 Years of relevant experience

    • 9

      Master’s Degree in Public Health

      1 Years of relevant experience

    • 10

      Master’s Degree in Global Health

      1 Years of relevant experience

    • 11

      master’s degree in biostatistics

      1 Years of relevant experience

    • 12

      Bachelor’s degree in Epidemiology

      3 Years of relevant experience

    • 13

      Bachelor’s Degree in Biostatistics

      3 Years of relevant experience

    • 14

      Master’s Degree in Health Informatics

      1 Years of relevant experience

    • 15

      master’s degree in population studies

      1 Years of relevant experience

  • 16

    Master’s Degree in Health Care Data Analytics

    1 Years of relevant experience



Required competencies and key technical skills

    • 1
      Problem solving skills
    • 2
      Risk management skills
    • 3
      Risk Resource management skills
    • 4
      Leadership skills
    • 5
      Time management skills
    • 6
      Results oriented
    • 7
      Analytical, problem-solving and critical thinking skills
    • 8
      Judgment & Decision-making skills
    • 9
      Knowledge and skill in M&E, health data analysis, management and reporting
    • 10
      Technical skills in the design and use of health Information systems platforms for data use and reporting
    • 11
      Fluent in English and Kinyarwanda; working knowledge of French is an added advantage.
    • 12
      Knowledge and understanding of the Rwanda Health system
    • 13
      Familiar with statistical software, possess good data entry and word processing skills
    • 14
      Capability to collect, compare, and scrutinize data to arrive at sound conclusions
  • 15
    Ability to present statistical results and conclusions effectively in appropriate tabular, graphic, and written forms

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