Job in Uganda
Quantitative Data Analyst
DistrictNot specifiedCityNot specifiedContractType not specifiedPosted2026-08-27Close dateNot specifiedExperience2 yearsSourceUgandan Jobline
Quantitative Data AnalystData AnalysisResearch and EvaluationKampalaUgandaConsultancyStatisticsFull Timeinternshipno_experiencesem_experienciatechnology
AI summary
Bodmando Consulting Group is hiring a Quantitative Data Analyst in Kampala to strengthen its research and evaluation team. The role involves quantitative research design, data management, statistical analysis, and report writing across consultancy assignments. Applications close 23 Sep.
- Role based in Kampala, Uganda
- Deadline: 23 Sep
- Requires 2–3 years of quantitative data analysis experience
- Statistical tools such as SPSS, Stata, R or Python required
- Experience with KoboToolbox, ODK or SurveyCTO is an advantage
AI job guide
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AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required2+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in internship, no_experience, sem_experienciaThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Quantitative Data Analyst evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Bodmando Consulting Group and the role in Not specified.
- Add concrete examples related to internship, no_experience, sem_experiencia, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Ugandan Jobline; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- Ugandan Jobline
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Quantitative Data Analyst role in internship, no_experience?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Bodmando Consulting Group before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
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Quantitative Data Analyst Jobs – Bodmando Consulting Group
Bodmando Consulting Group
Posted
1 day ago
Closes 23 Sep
☆
Job Title:
Quantitative Data Analyst
Organisation:
Bodmando Consulting Group
Duty Station:
Kampala, Uganda
About Organisation:
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.
Job
Summary
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 Duties and
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 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
- assigned by the Team Lead or Programmes Manager.
- Qualifications, Skills and
Experience
- 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
- in quantitative data management and statistical analysis.
- Strong practical competence in at least one statistical package, preferably SPSS, Stata, R or Python.
- using electronic data collection platforms such as KoboToolbox, ODK or SurveyCTO.
- Demonstrated
- 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.
- How to Apply:
- Interested candidates must submit all four (4) items listed below. Failure to submit any of the required items will result in automatic disqualification.
- An updated CV;
- A brief cover letter outlining relevant quantitative data analysis experience;
- Minimum of 2 relevant work samples demonstrating quantitative data analysis skills, such as anonymised analytical reports, statistical outputs, dashboards, data visualisations or similar products; and
- Expected monthly remuneration.
- Submission email: The email for submission of applications is
- Apply by Email
- . Submit no later than Monday, 14th of Sept 2026. Applications will be reviewed on a rolling basis, and the position may be filled once a suitable candidate is identified. Early applications are therefore encouraged.
- Interviews
- Shortlisted candidates will be invited to our office to participate in a two-stage, in-person interview and assessment process comprising:
- Stage 1: A supervised written technical test to assess quantitative data analysis skills and competencies.
- Stage 2: A face-to-face oral interview for candidates who successfully pass the written technical test.
- NB: Only shortlisted candidates will be contacted.
- For more of the latest jobs, please visit
- https://www.theugandanjobline.com
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- https://www.facebook.com/UgandanJobline
- Level of
- in Months: 24
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Education
- bachelor degree
- Work Hours: 8
Source and provenanceSource: Ugandan Jobline. Last checked: 2026-09-07.Kazi Connect is a job discovery service, not the employer. Always confirm the vacancy at the original source.Summaries may be AI-assisted. Report inaccurate content.
Never pay to apply. Always confirm the original source and watch for payment requests, sensitive document requests, or unrealistic promises.