Data Analysis Specialist

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1. Project Background:

The Scaling Up Nutrition Program is a cross-ministry and multi-donor program to reduce stunting in Zambia through implementation of the Government of the Republic of Zambia (GRZ) 1,000 Most Critical Days Program.

SUN TA provides support and direct technical assistance to sub-national local government departments in target districts to plan, implement, coordinate, and monitor integrated nutrition-sensitive and nutrition-specific activities to reduce the rate of stunting among Zambian children under two and improve the nutritional status of pregnant and lactating mothers. USAID has identified two main objectives that address stunting, including (1) Adequate Quantity and Quality of Dietary Intake among Target Groups; and (2) Adequate Health Conditions for Biological Utilization of Nutrients. SUN TA interventions increases access and availability of safe, diverse, nutritious food; adoption of better child feeding and household hygiene practices; and access to improved health, water and sanitation services. The project prioritizes sustainability by improving intra-household joint decision making and building the capacity of local government and their stakeholders to ensure coordination, accountability, and learning, following the Scaling Up Nutrition model.

1. Location:

National Office-Lusaka: The Data Analysis Specialist will be based in Lusaka with frequent (more than 50% of time) travel throughout project districts

2. Objective:

The Data Analysis Specialist will work directly with the MEL Director to implement the SUN TA monitoring and evaluation function at the national level. S/he will be responsible for primary and secondary data analysis of project generated data and that of implementing partners. S/he will work with the national, provincial and district technical teams to gain more insights into data and transforming it into outputs that facilitate decision making at all levels.

3. Tasks and Responsibilities:

  • Collect, manipulate and analyze program data for patterns and trends and translate this into accessible and digestible information for uptake by project staff at all levels of operation
  • Conduct secondary analysis of datasets from population-based surveys and existing government information management systems e.g. Health Management Information System (HMIS)
  • Assess the ability of project generated data to demonstrate performance and identify technical challenges and remedial measures with current data collection and analysis methods
  • Perform statistical/data visualization with the application of graphical and other visual formats to be used in written reports and meeting presentations
  • Provide input for the generation of monthly, quarterly and annual program reports
  • Provide regular feedback and updates to the MEL Director and project technical staff on trends in performance for program indicators
  • Support the project team in the verification, and update of data, including ensuring data quality
  • Support the national and district offices in conducting and facilitating data review meetings and will present district specific data that distinguishes patterns and trends
  • Support the conduct of internal and external studies and specifically in designing sampling plans, input/developing data analysis plans and data analysis
  • Build the capacity of project MEL and other technical staff in data analysis, interpretation and data visualization
  • Work with the MEL team to conduct internal data quality assessments
  • Undertake other data analysis and interpretation functions as needed.
  • Any other assignments relevant to position and skills

4. Reporting and Supervision:

The Data Analysis Specialist will report directly to the Director- Monitoring, Evaluation and Learning

5. Qualifications, Knowledge and Experience


  • Minimum qualification of a Bachelor’s degree in Mathematics, Statistics, Demography or Economics. An advanced qualification is preferred
  • At least 8 years of working experience in Monitoring and Evaluation or other related field related to data management.
  • Computer skills in spread sheets, database management, word processing, SPSS, STATA or other statistical packages.
  • Competence in dhis2 and working knowledge of government information management systems e.g. the Ministry of Health-HMIS will be an added advantage
  • Competence in quantitative research methodologies including sampling and analysis approaches
  • Proven record of data and information collection, collation, review, analysis, presentation skills and data visualization.
  • Previous experience working in the international development or humanitarian sector in in a MEL, data analytics or research capacity.
  • Strong computer skills, including the ability operate management systems.


  • Formal training in monitoring and evaluation.
  • Experience with data collection using Open Data Kit, KoBoTool box, dhis2 or other online or offline data collection solutions.

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