Quantitative Data Analyst (Only Ugandan Based Researchers in Kampala) Full Time

About Bodmando Consulting Group

Bodmando Consulting Group is a feminist international consulting firm registered in Uganda and Kenya. As a women-led social enterprise, Bodmando operates at the gender and climate nexus, driven by the vision of a world free from intergenerational poverty, gender inequality, and social injustice. Our work is anchored in intersectional analysis, systems thinking, and human-centred design, ensuring that every solution we craft is both inclusive and transformative. With a multidisciplinary core team spanning Africa, South Asia, and the MENA region, we deliver high-impact research, evaluation, capacity strengthening and strategic advisory services that blend contextual understanding with global best practices.

We further leverage a global consultancy network of over 1,000 technical experts, allowing rapid mobilization of specialized skills for complex, multi-country assignments. Through thought leadership, north-south collaboration, and co-creation, Bodmando continues unlocking value and generating evidence-based, scalable solutions that advance equity, sustainability, and impact. To date, we have successfully implemented more than 65 projects across 31 countries, empowering governments, donors, civil society organizations, and communities to design, implement, and learn from transformative interventions. Learn more about our work at www.bodmando.org.

Back ground
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..

Duties and Responsibilities

The Quantitative Data Analyst will:

• 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 support calculation of appropriate sample sizes.
• Monitor incoming survey data and undertake 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 statistical software.
• Produce frequencies, cross-tabulations, means, proportions, confidence intervals and other relevant statistical outputs.
• Undertake disaggregated analysis by variables such as sex, age, location and other relevant characteristics.
• Support more advanced analysis, including regression and statistical testing, where required.
• Interpret quantitative findings and translate statistical outputs into clear findings for evaluation and research reports.
• Develop high-quality tables, graphs, charts and data visualisations.
• Support triangulation of quantitative findings with qualitative and secondary data.
• Contribute to baseline, endline, evaluation, assessment and research reports.
• Maintain organised and secure project datasets, syntax files, codebooks and analysis outputs.
• Support quality assurance of data collected by field teams.
• Undertake other data analysis and research-related responsibilities assigned by the Team Lead or Programmes Manager.

Qualifications

• Bachelor’s degree in Statistics, Economics, Quantitative Economics, Mathematics, Data Science, Monitoring and Evaluation, Public Health, Social Sciences with strong quantitative training, or a closely related field.
• A postgraduate qualification in a relevant field will be an added advantage.
• At least 2–3 years of demonstrated experience in quantitative data management and statistical analysis.
• Strong practical competence in at least one statistical package, preferably SPSS, Stata, R or Python.
• Experience using electronic data collection platforms such as KoboToolbox, ODK or SurveyCTO.
• Demonstrated experience analysing survey, evaluation or research datasets.
• Good knowledge of quantitative research methods, sampling and statistical analysis.
• Strong Microsoft Excel skills.
• Ability to develop clear tables, graphs, dashboards and other visual presentations of data.

Required Competencies

• Strong analytical and numerical skills.
• Excellent attention to detail and commitment to data accuracy.
• Ability to identify inconsistencies and data quality problems.
• Ability to interpret statistical results and communicate them in simple, meaningful language.
• Good report-writing and presentation skills.
• Ability to work on multiple assignments and meet tight consultancy deadlines.
• Ability to work independently while collaborating effectively with multidisciplinary and international teams.
• High standards of confidentiality, research ethics and responsible data management.
• Strong written and spoken English.

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