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Technical Expert, R and QGIS (Data Systems and Spatial Analytics)

M31 Research Lusaka

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Check whether this older listing is still open. It has no confirmed closing date and may no longer accept applications. Browse the latest jobs in Zambia.
Employer reference

Employer and vacancy source: M31 Research

The original vacancy details remain available for reference. Applications are closed, so use the employer information and related searches to find active roles.

  • EmployerM31 Research
  • LocationLusaka
  • Employer websitezambiajobalerts.com
  • Listing sourceZambia Job Alerts
Job facts

Key details for this vacancy

Employer
M31 Research
Location
Lusaka
Posted
January 22, 2026
Job type
Full Time
Category
Other
This listing has expired. The original details remain available for reference, but applications are closed. Use the related searches for active vacancies.
  • Full Time
  • Lusaka

Website M31 Research

Job description

Job Title: Technical Expert, R and QGIS (Data Systems and Spatial Analytics)
Location: Zambia
Organisation: M31 Research
Contract Type: Short-term consultancy (approx. 100 days)
Duration: February to July 2026, with possible extension

Role Summary

M31 Research is seeking a highly skilled Technical Expert with strong proficiency in R and QGIS to support a large-scale applied research project involving GIS mapping, digital data collection, and advanced data management. The role focuses on building robust data pipelines, automating data quality checks, supervising spatial mapping workflows, and supporting high-quality analytical outputs from field data.

The successful candidate will work closely with field teams, data managers, and technical partners to ensure accurate data capture, strong quality controls, and reliable spatial and statistical datasets.

Key Responsibilities
Develop and maintain automated data quality monitoring systems using R.
Clean, validate, and manage large datasets using R, STATA, and Excel.
Supervise GIS mapping workflows in QGIS, including polygon digitisation, spatial validation, and surface measurement quality checks.
Integrate spatial and survey datasets to support analytical modelling and reporting.
Programme and test digital questionnaires in collaboration with survey teams.
Monitor field data collection and troubleshoot data, device, and operational issues.
Produce well-documented datasets, scripts, and technical notes to ensure reproducibility.
Support enumerator training on digital tools, GPS capture, and data quality standards.
Provide regular technical reporting on data quality, field progress, and spatial outputs.
Minimum Qualifications and Experience
Master’s degree in Statistics, Data Science, GIS, Economics, Computer Science, or a related field.
Strong hands-on experience using R for data management, automation, and quality monitoring.
Advanced practical experience using QGIS for spatial data processing and analysis.
Proven experience managing large-scale quantitative survey datasets.
Solid understanding of data quality assurance frameworks and field monitoring systems.
Strong analytical skills and attention to detail.
Excellent written and spoken English.
Ability to work independently and collaborate effectively with multidisciplinary teams.
Desirable
Experience integrating GPS and satellite imagery data.
Familiarity with SurveyCTO, KoboToolbox, or ODK.
Experience supporting household or infrastructure surveys.
How to Apply

Interested candidates should submit:

A detailed CV.
A brief cover note highlighting experience with R and QGIS.
Expected daily rate.

Via the link: https://forms.gle/aP9afZyDYErTfxQk9

Application Deadline: 30 January 2026

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