Job Description
Position: Data Analyst ( 1 Position) K MR/ 6 Vacancy No. FN-01-01-2024
Reports to: Study Coordinator
Location: KISUMU
Duration: 6 months Renewable Contract
Position Summary
In collaboration with KEMRI-WASH U investigators, the Data Analyst will guide the analysis activities
for the A4A study and have authorship opportunities on projects applying challenging statistical methods.
As the Data Analyst, the incumbent will lead planning, designing and implementation of research projects,
as well as analysis and interpretation of statistical data. He/she provides advice on implications of results
for program planning and decision making. The Data Analyst will provide mentorship and management
support to the Statistician.
Duties and Responsibilities:
Develop rigorous analysis strategies for abstracts, manuscripts, and program evaluation activities.
Authorship as part of these analysis activities.
Apply complex statistical techniques and methods in the processing and analysis of data
Directly supervise and mentor the Statistician
Develop and implement program tracking databases in support of program evaluation activities
Organize and direct the study design, data collection, processing, analysis and publication of
statistical data on various subject matter relevant to the A4A study
Support investigators to operationalize research goals, refine statistical hypotheses, develop
statistical analysis plans and explain statistical implications of results.
Merge data across databases and check for data inconsistencies and outliers using STATA
Clean and edit complex medical record data for analysis
Generate data reports on program activities, both routine and as requested
Document methodologies and procedures used in the compilation and analysis of data, as well as
data sources and limitations of estimates and guidelines for their use
Provide advice on sample size calculation
Provide advice on the statistical interpretation and implications of results for program planning and
decision-making
Prepare tables, figures, results, and statistical methods narratives for abstracts and publications
Key Qualifications:
Bachelor’s Degree in Biostatistics/Statistics or Applied Mathematics as evidenced by possession of
at least a Degree from a recognized University
Advance level knowledge of statistical software: SAS and/or STATA data management is required
Demonstrated expertise in the following techniques is required: logistic and linear regression, mixed
model, longitudinal data analyses, interrupted time series analyses, factor analyses, complex survey
sample analyses, survival analyses, missing imputation, bootstrapping