Emplois

Job Description:

This position sits in the result monitoring team of the Global Financing Facility and forms the analytics group of this team.   The position is responsible for extracting data from existing sources, sourcing data from GFF partner countries to develop strong analytic products and visualizations for each country and by theme across the GFF.  This function plays a vital role in the development of the annual report, case studies, and other analytic products, such as mid term reviews of countries investment case. Skills needed for this position include: a good understanding of RMNCAH-N, with experience in working with maternal child health, family planning and nutrition indicators. Experience in working with both routine administrative, as well data from both population-based surveys and facility-based surveys. Data should be translated into policy, reforms and programmatic change, therefore strong data communication skills are considered a priority for this position.

Deliverables

  • Analytic deliverables related to the Annual Report:
    • Data collection, cleaning, and analysis
    • Creation of a PowerPoint for each country
    • Work with writing team to determine how the data fit into each country’s story
    • Development of data profiles
  • M&E Analytic Team Support
    • Monitor status of data use documentation across all GFF supported countries, including Results Frameworks and other associated documentation
    • Support to DHIS2 work
    • Develop midterm and end line evaluation protocols for country work based on available data for each country
    • Develop analytic papers and PowerPoints on specific themes, for example equity, gender, SHRH etc.
    • Develop in depth country analyses based on available data
Skills:

M&E team members need to have strong quantitative analysis and reporting skills, with an emphasis on data management, analysis, visualization, and communication.

  • Context and background
    • Understand the context of RMNCAH-N data and/or
    • Understand health financing reform data
    • Understand context of country health systems
    • Data security awareness
       
  • Data management and analysis
    • Data governance
    • Data extraction from existing sources
    • Data cleaning, mapping, and quality verification
    • Data comparisons across time
    • Development of data visualizations
      • Identifying and designing appropriate visuals based on team needs and data availability (including at granular geographic levels)
      • Creating visualizations with cohesive look and feel despite varying indicators
      • Dashboard creation using appropriate data visualization software
    • Data integration and triangulation of analysis and visuals 
    • Mapping indicators to the relevant theory of change within the investment case
    • Ability to answer complex questions using multiple data sources
    • Report development and Interpretation of data
      • Identifying important trends per country
      • Identifying outliers and surprising data based on country context
      • Extracting most relevant information from large datasets in order to quickly highlight priorities for data consumers and stakeholders
      • Effectively communicating to different data consumers based on their needs
  • Tools and Skills
    •  Microsoft Excel, Tableau or similar, R or SAS, STATA, SPSS, or other statistical analysis tools

Data Sources

Data available from countries will generally include the following:

  • Population Health Surveys, such as DHS, MIS, and MICS
  • Reports from HMIS, such as supply chain, DHIS2, RBF, and CRVS
  • Facility assessments, such as HRIS, SARA, SDI, and SMART surveys
  • Health Facility Reports, including Health Management Information System (HMIS)
  • Program evaluations
  • Financial management systems, Global Health Expenditure Database (GHED), qualitative assessments, policy tracker, resource mapping using domestic government budget data, data from external partners, and expenditure data from Integrated Financial Management Information System, donors, national health accounts and other.
  • Administrative Data
    • Financing: National Health Accounts
    • Human Resources: National Database (Human resources information system, HRIS)
    • Infrastructure: National database of health facilities (DHIS2)
    • Other relevant country-based datasets

Disaggregated data, including population, gender, socioeconomic status, or other disaggregation, should be analyzed as needed.

To apply, please send your resume and examples of data products/visuals to Kimberly R. Boer (kboer@worldbank.org) and Josine Karangwa (jkarangwa@worldbank.org) with GFF Data Analyst as subject.

Location:
Washington DC
Post Date:
Tuesday, mars 10, 2020
Application Deadline: Tuesday, mars 24, 2020
Apply Now