Data programmer, (SC-FACT), GHSC-PSM

  • Mid-level, Full-time staff position
  • Posted on 3 December 2018

Job Description

Chemonics seeks a Data Programmer, Supply Chain - Facility-level AIDS Commodity Tracking (SC-FACT), who will provide support to the Global Health Supply Chain - Procurement Supply Management (GHSC-PSM) project to ensure effective HIV/AIDS commodity tracking in order to have a secured supply of the President’s Emergency Plan for AIDS Relief (PEPFAR)-approved products. Specifically, the Data Programmer will provide data collection, data cleansing, and data processing in support of the Supply Chain- Facility-level AIDS Commodity Tracking (SC-FACT) initiative which focuses on data management for the GHSC-PSM Service Distribution Point (SDP) level stock data in 17 countries and more than 14,000 health facilities. The Data Programmer will support data processing from various information systems using open source tools such as R, Python, MS Excel and MS Excel Visual Basic (VBA). We are looking for individuals who have a passion for making a difference in the lives of people around the word.

Responsibilities include:

  • Develop a country-specific adaptation for the global data collection template
  • Implement a monthly data collection and reporting process
  • Understand PEPFAR Treatment data systems such as Monitoring, Evaluation, and Reporting (MER) Indicators
  • Clean and prepare data for analysis
  • Carry out Geo-spatial analysis using Geographic Information System (GIS) tools
  • Create visualizations for interim and final results of analyses using VBA, PowerMap and Leaflet
  • Document data preparation and analysis methods for reproducible and repeatable processes
  • Work with Task Order 1 team and USAID point of contact, implementing partners as part of their strategy in order to analyze data and create visuals in support of manuals and tools development
  • Conduct data analysis and produce presentations and documents
  • Respond to ad hoc requests from Field Offices, USAID/Washington and USAID/Missions
  • Perform other duties and responsibilities as required


  • Bachelor’s degree required
  • A minimum of 3 years of job-related experience in data management and/or data analytics
  • Ability to analyze large datasets and to develop data visualizations, and presentations to the client and other external stakeholders required
  • Experience with programming and coding software, such as SPSS, SAS, R, Python or VBA
  • Experience working in PEPFAR/Data management in developing country settings desirable
  • Excellent interpersonal, written and oral communications skills
  • Experience working in a developing country context preferred
  • A proven ability to work both independently and as part of a team required, with experience in an organization working across multiple teams highly preferred
  • Advanced proficiency in excel, word processing, and presentation applications
  • Willingness to travel overseas on two to four-week trips, typically two to four times a year
  • Demonstrated leadership, versatility, and integrity
  • Fluency in English required; working proficiency in French, Spanish and/or Portuguese desirable

Apply through our Career Center at by February 28, 2019. No telephone inquiries, please. Finalist will be contacted.

Chemonics is an equal opportunity/Affirmative Action employer and does not discriminate in its selection and employment practices. All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability, protected veteran status, genetic information, age, or other legally protected characteristics. Military veterans, AmeriCorps, Peace Corps, and other national service alumni are encouraged to apply.

About the Organization

Owned entirely by employees, Chemonics is an ISO-9001 certified international development company. For more than 40 years, we have partnered with local and international organizations to promote social and economic change around the world.

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