Data Analyst and Utilization Specialist

Last Mile Health

About the organization

About Last Mile Health

Last Mile Health (LMH) saves lives in the world's most remote communities by partnering with governments to bring critical primary care services to the doorsteps of people living in the last mile. LMH is a registered 501(c)3 non-profit organization with offices in Ethiopia, Uganda, Liberia, Malawi, Boston and New York. For more information, visit

We are an equal opportunity employer and value diversity at LMH. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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-In partnership with the Deputy Director, Global MERL, implement a robust MERL framework for the Academy team that ensures the highest data quality and use of data for decision making
-Create accessible, relevant, and timely data dashboards and visualizations to be used by LMH and government partners for strategic decision making
-Design and perform analyses around clinical education initiatives
Lead implementation of data management, quality assurance, and data cleaning procedures
-Contribute to data collection tool design
-Support LMH’s new country expansions, including a recent launch in Malawi, to implement a robust monitoring and evaluation framework, including overseeing the design, data collection, and analysis
-Participate in the dissemination of results internally and externally including participation in manuscript writing for publication
-Support the design and implementation of program evaluations and higher-level analysis for special projects and implementation research involving LMH work


-A masters degree in epidemiology, biostatistics, or a related public health quantitative methods
-Demonstrated experience in the data management and analysis for monitoring and evaluation of health or public health programs
-Ability to independently select and perform the analyses for complicated data sets, including, but not limited to: multivariate logistic regression, missing data imputation, difference-in-differences analysis, principal component analysis, the appropriate weighting of samples, etc.
-Expertise with a statistical software package (Stata preferred) and relational databases (SQL preferred)
-Experience in data visualization (strongly prefer experience with Tableau, Power BI, or other data visualization platforms)
-Experience working across a range of stakeholders and partners, specifically around data use and translating evaluation findings to practice (previous experience with Ministries of Health preferred)
-Experience working with electronic health management information systems (DHIS2, iHRIS, eCHIS, etc.)
-Experience with data quality audits and manuscript writin

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Equal Opportunity Employment

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The Peace Corps is committed to providing equal opportunity to all employees, Volunteers, and applicants for employment and volunteer service. Peace Corps policy prohibits discrimination and harassment because of race, color, religion, sex, national origin, age (40 or over), disability, sexual orientation, gender identity, gender expression, marital status, parental status, political affiliation, union membership, genetic information, or history of participation in the Equal Employment Opportunity process, grievance procedure, or any authorized complaint procedure.

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