Quantitative Data Analyst – Kampala (Uganda)

About the role

Bodmando’s Evaluation Unit is seeking a competent and detail‑oriented Quantitative Data Analyst to strengthen its research and evaluation team. The successful candidate will support quantitative research design, data management, statistical analysis, interpretation and presentation of findings across multiple consultancy assignments.

Key responsibilities

• Support the design of quantitative research methodologies, sampling approaches and survey instruments.
• Develop and program quantitative data collection tools using platforms such as KoboToolbox, ODK, SurveyCTO or similar systems.
• Develop sampling frameworks and calculate appropriate sample sizes.
• Monitor incoming survey data and conduct routine data quality checks during fieldwork.
• Clean, code, validate, merge and manage quantitative datasets.
• Conduct descriptive and inferential statistical analysis using SPSS, Stata, R, Python or similar software.
• Produce frequencies, cross‑tabulations, means, proportions, confidence intervals and other statistical outputs.
• Undertake disaggregated analysis by variables such as sex, age, location and other relevant characteristics.
• Support advanced analysis including regression and statistical testing where required.
• Interpret quantitative findings and translate them into clear results for evaluation and research reports.
• Develop high‑quality tables, graphs, charts and data visualisations.
• Maintain organised and secure project datasets, syntax files, codebooks and analysis outputs.
• Support quality assurance of data collected by field teams and contribute to baseline, endline, evaluation and research reports.

Required profile

• Bachelor’s degree in Statistics, Economics, Mathematics, Data Science, Monitoring and Evaluation, Public Health, Social Sciences or a related field; postgraduate qualification is an advantage.
• At least 2–3 years of demonstrated experience in quantitative data management and statistical analysis.
• Strong analytical and numerical skills with excellent attention to detail.
• Ability to work independently and meet tight consultancy deadlines while collaborating with multidisciplinary and international teams.
• High standards of confidentiality, research ethics and responsible data management.
• Fluent written and spoken English.

Required skills

• Proficiency in statistical packages such as SPSS, Stata, R or Python.
• Experience with electronic data collection platforms like KoboToolbox, ODK or SurveyCTO.
• Advanced Microsoft Excel skills for data manipulation and visualization.
• Ability to create clear tables, graphs, dashboards and other visual presentations of data.