Public Health Data Analyst, Zambia Evidence for Health Activity

  • Full Time
  • Lusaka, Zambia
  • Applications have closed

Website International Systems Management (MSI)

Management Systems International (MSI), a Tetra Tech Company, is a Washington, D.C. metro area management consultancy with a 40-year history of delivering results for our clients. Our expertise is in the fields of monitoring and evaluation; democracy and governance; peace and stability; rule of law and accountability; education; gender and inclusion; strategic communications; and leadership and organizational development. MSI has implemented projects in 90 countries around the world such as Colombia, Indonesia, Jordan, Kenya, Mexico, Nigeria, Pakistan, Syria and Ukraine, and works domestically. We support clients ranging from the U.S. Government (e.g., the U.S. Agency for International Development, U.S. Department of Defense, U.S. Departments of State and Labor, and the Millennium Challenge Corporation) to large bilateral and multilateral donors (e.g., the World Bank and the United Nations Development Program). We also work with national and local governments, nongovernmental organizations (NGOs), think tanks, foundations and universities. For more information, please visit our website at www.msiworldwide.com.

Project Summary:

As part of its global portfolio, MSI manages the USAID/Zambia Evidence for Health (E4H) activity which began in 2020 and runs through 2025. The activity works closely with the Ministry of Health and USAID’s Health Office to: 1) strengthen the national Health Management Information System (HMIS) owned and managed by the Ministry of Health (MOH), and 2) expand the data evidence base for existing approaches to health programming in malaria, nutrition, family planning, maternal and child health, and HIV. The activity supports the strategic objectives of USAID Family Health, the President’s Emergency Plan for AIDS Relief (PEPFAR), and the President’s Malaria Initiative (PMI).

**Please note: Only Zambian citizens are eligible for this position**

Position Summary:

The Public Health Data Analyst reports directly to the Senior Knowledge Management Specialist and will provide technical, strategic, and programmatic direction for the development and implementation of data reporting, visualization and presentation. The position will be the direct interface with USAID and MOH, which is preparing and presenting data analysis and visualizations on targeted topics in family planning, maternal child health, malaria and HIV/AIDS. This role will engage with Zambia’s health informatics community to oversee and develop approaches for integration of Zambian e-Health information systems data in data evaluation, visualization, and dissemination.

Responsibilities:

Oversee the data analysis of Zambian health data to identify actionable insights and trends in the areas of family planning, maternal child health, malaria, and HIV/AIDs.
Integrate data from various sources into systematic products, including DHIS2, Postgres, CSV/Excel, and other structured databases.
Validate and transform data to ensure it is fit for purpose and suitable for use in examination.
Use statistical tools, like R or SPSS, to identify, examine, and interpret patterns and trends in complex health datasets.
Create compelling, visually appealing, and easy to understand visual products to support systematic findings using paid and unpaid graphic editing and business intelligence tools like Excel, GIMP, or Tableau.
Present data trends to USAID’s Health Office.
Develop and implement data analytics and other strategies that optimize efficiency and quality of health-related data and information systems.
Design and produce innovative visualization products to illustrate program research findings and evaluation to inform program strategy and grant design.
Other duties, as necessary and assigned by the management.

Qualifications:

Bachelor’s degree in statistics, graphic design, or other relevant discipline is required. Master’s degree is preferred.
Minimum three years demonstrable work experience as a data analyst in the health sector is required.
Experience using Excel, SPSS and Tableau for health data analytics.
Knowledge of R preferred.
Expertise working with DHIS2 data in longitudinal analysis.
Experience in creating data infographics and maps using open-source GIS software including QGIS.
Ability to create user-friendly, visually appealing infographics and data visualizations that support audience understanding of trends.
Ability to produce high quality work under deadlines.
Fluency in written and spoken English required.

MSI is an equal opportunity employer that values diversity and inclusion. We strive to develop and maintain a culture that honors the perspectives and identities of our employees, our communities and those impacted by our work.

We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

MSI is an Equal Opportunity Employer/Affirmative Action/Americans with Disabilities/Veterans Employer.

Reasonable Accommodations:

MSI is dedicated to hiring an inclusive workforce. If you would like to request reasonable accommodations during the application process, please visit Tetra Tech’s Disability Assistance Page. Our recruitment team looks forward to engaging in an interactive process to provide reasonable accommodations for candidates.

Only candidates who have been selected for an interview will be contacted. No phone calls, please.

Requisition #21600000730

EEO Notices: U.S. Equal Opportunity Employment Poster, U.S. Equal Opportunity Supplemental Poster, Pay Transparency Notice Tetra Tech participates in the E-Verify program: E-Verify Poster , Right to Work Poster


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