The U.S. Agency for International Development (USAID), through the Act to End NTDs | West, support disease-endemic countries to control and/or eliminate neglected tropical diseases (NTDs) with proven, cost-effective public health interventions. Building on the successes that have been achieved through previous USAID investments to expand national, integrated NTD programs, Act to End NTDs | West will continue to support countries in their advancement towards the attainment of global elimination goals, and to support them to effectively access and leverage the drug donations needed to control NTDs that cannot be eliminated with current strategies.
Over the next five years (2018–2023), the Act to End NTDs - West program will work towards the achievement of the following end results:
- Elimination of lymphatic filariasis (LF), trachoma, and where feasible, onchocerciasis in Africa.
- Sustainable national NTD programs (NTDPs).
- Robust country capacity to implement and maintain ongoing MDA and disease surveillance for soil transmitted helminths (STH), schistosomiasis (SCH), and in some cases, onchocerciasis.
The FHI 360-led consortium will use its NTD expertise and implementation experience in Benin, Burkina Faso, Cameroon, Côte d’Ivoire, Ghana, Guinea, Niger, Mali, Senegal, Sierra Leone, and Togo to help these countries eliminate and/or control NTDs using proven, cost-effective interventions.
FHI 360 is seeking a qualified NTD Data Manager and Analyst to join the MEL (Monitoring Evaluation and Learning) team which supports the NTD program, Act to End NTDs | West, implemented by the FHI 360 consortium. This position will report to the Director of MEL, and the incumbent may manage more junior staff over time as the team builds. The position will be based in Washington, DC.
- Oversee, manage and navigate a complex data system, necessitating a deep knowledge of all component parts of the system and their intricacies
- Facilitate routine reporting of implementation results, which includes manipulating various datasets using advanced SAS to produce: tables for Semi-Annual Reports (SARs), annual reports, and workplans, as well as data needed as input by the in-house GIS cartographers for map generation
- Adapt existing advanced SAS code to facilitate data preparation steps, which includes pulling data from USAID NTD Database, running cleaning protocols, and creating a single, master dataset for all countries and all indicators.
- Update and run existing SAS-based software planning tools and trackers for each country to track and project upcoming mass drug administrations (MDAs) and disease specific assessments (DSAs) in order to facilitate program implementation planning
- Respond and/or manage responses to last minute and urgent ad hoc data requests from donor (e.g., in support of disease data review days) and program colleagues (e.g., in support of presentations at meetings and/or conferences), which includes working with technical staff to define their data needs and to fulfil them, as well as interpreting data verbally and in writing
- Exercise leadership and maintain strong working relationships and interactions with the rest of the MEL team as well as the program technical teams
- Assist technical staff in the production of research and other papers to be published in peer-reviewed journals
Education and Experience:
- Bachelor’s degree or Master’s degree in Epidemiology, Statistics, Data Science, Computer Science or related field, or equivalent
- A minimum of 8-11 years of progressively responsible relevant professional experience in data management and analysis
- 5+ years’ experience (or 3+ years with SAS Base certification) in writing advanced SAS code (with particular abilities in SAS macros, arrays and do-loops), and experience in interpreting advanced SAS code with minimal documentation or context (essential)
- Extensive experience in team-based data management, particularly processing of large datasets from multiple sources
- Experience coding data quality control checks
- Experience developing Excel templates with an emphasis on formatting
- Experience exporting large amounts of data automatically through SAS ODS and/or DDE
Essential Knowledge and Skills:
- Strong advanced SAS statistical software programming skills, including SAS macros
- Intermediate MS Excel skills
- Ability to manage multiple tasks simultaneously and efficiently in a fast-paced environment
- Ability to create, articulate and follow through on deadlines in a high stress environment
- High degree of organization towards both people and data file management
- Ability to articulate approaches to data processes both verbally and in writing
- Ability to effectively communicate technical concepts to both technical and non-technical audiences.
- Ability to listen critically to data requests and coach requesters towards more feasible and useful requests.
- Ability to triage competing priorities according to importance and urgency
- Strong problem-solving skills and ability to make decisions and produce high quality work independently
- Highly motivated with strong attention to detail
- Exceptional teamwork and interpersonal skills
- Ability to communicate in a cross-functional and cross-cultural environment
- Ability to navigate complex global, multi-cultural interactions diplomatically
- Fluent English spoken and written communication skills; French spoken and written skills desirable but not essential
- Experience with NTD data desirable but not essential
- Experience programming in SQL desirable but not essential
Travel Requirements: Up to 10%
This job description summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time.