Location: Abuja, Nigeria (with frequent field travel across project states)

Duration: Up to 3 months with possibility for extension

Contract Type:  Consultancy

Reports to: National Team Lead

Background

The DDR Policy Harmonisation and Reintegration Programme is designed to strengthen national frameworks and delivery systems for effective Disarmament, Demobilisation, and Reintegration (DDR) in Nigeria. The programme will be informed by rigorous evidence derived from comprehensive field-based assessments—including socio-economic profiling, trauma impact studies, reintegration opportunity mapping, and other core components.

To ensure effective delivery of high-quality, field-grounded evidence, the programme requires a Research Associate to support the Research Experts and lead the data collection, cleaning, analysis, and coordination processes.

Purpose of the Assignment

The Research Associate will provide technical and operational support to the research function of the DDR project. This includes hands-on coordination of field data collection, enumerator management, digital tool deployment, data cleaning and analysis, and the production of clear, well-organised data outputs. The Associate will be key to ensuring the smooth execution of research activities and the credibility of the datasets that inform programme decisions.

Key Responsibilities

Field Research Coordination


Support the Research Experts in planning and executing field-level research activities.
Coordinate field logistics and schedules for surveys, focus groups, and interviews across targeted states.
Supervise and manage field enumerators and ensure adherence to data collection protocols.
Ensure informed consent and ethical compliance are observed during all fieldwork.


Digital Data Collection and Management


Program and manage data collection instruments using digital platforms (e.g., KoboCollect, ODK).
Conduct pre-testing and deployment of survey tools, including troubleshooting technical issues.
Monitor incoming data during fieldwork and ensure real-time quality control.


Data Cleaning and Analysis


Perform thorough data cleaning, validation, and organisation in preparation for analysis.
Conduct descriptive and basic inferential data analysis (using SPSS, Stata, R, or Excel).
Prepare visualisations (charts, graphs, dashboards) and summary tables for internal and external use.
Work closely with the Research Experts to develop clean, analysable datasets for reporting.


Documentation and Reporting


Maintain well-organised databases and metadata for each research component.
Contribute to fieldwork summary reports, data dictionaries, and methodological documentation.
Draft annexes or technical appendices for inclusion in final research reports.


Key Deliverables




Deliverable
Description




Field Coordination Plans
Workplans and schedules for enumerator deployment


Cleaned Datasets
Fully validated and labelled datasets, with supporting documentation


Data Analysis Summary
Statistical summaries, visualisations, and basic trend analysis


Enumerator Reports
Performance reports and feedback logs


Digital Toolkits
Programmed and tested tools for mobile data collection




Required Qualifications and Experience

Education


Bachelor’s degree in Statistics, Demography, Social Sciences, Public Health, or a related field.
Master’s degree (or equivalent experience) is an added advantage.


Experience


Minimum of 5 years of experience in quantitative and qualitative research, preferably in conflict or reintegration contexts.
Demonstrated experience with data collection tools such as KoboToolbox, ODK, or SurveyCTO.
Proven experience with data cleaning and analysis using statistical software (e.g., Excel, SPSS, Stata, R, or Power BI).
Experience supervising fieldwork and managing teams of enumerators.


Skills and Competencies


Strong analytical skills and attention to detail.
Ability to work under pressure and manage multiple tasks simultaneously.
Strong organisational and documentation skills.
Excellent written and verbal communication skills in English.


Equal Opportunity

The project encourages applications from qualified individuals regardless of gender, ethnicity, or background. Candidates from conflict-affected areas or with previous DDR-related experience are particularly encouraged to apply.