Role Purpose
The Data Analyst will be responsible for data management, analysis, and presentation of both qualitative and quantitative data generated through the independent monitoring project. The role will ensure data quality, generate insights, and produce user-friendly outputs that inform adaptive programming and accountability to GIZ and stakeholders.
Key Responsibilities
Data Management and Quality Assurance
- Design, manage, and maintain project databases.
- Clean, validate, and verify data collected from field teams.
- Ensure data is anonymous and archived securely in compliance with data protection standards.
- Develop and implement data quality control protocols.
Data Analysis
- Conduct statistical and qualitative analysis of monitoring data.
- Triangulate data from multiple sources (surveys, FGDs, KIIs, PDM, spot checks).
- Analyse inclusion/exclusion errors, beneficiary satisfaction, timeliness, and graduation indicators.
- Identify trends, risks, and anomalies that may affect program outcomes.
Data Visualisation and Reporting
- Develop dashboards, charts, infographics, and other visual tools to present findings.
- Support the preparation of quarterly monitoring reports, technical briefs, and final reports.
- Generate thematic analyses (e.g., gender, disability, vulnerability status).
- Contribute to knowledge management and learning products.
Collaboration and Capacity Building
- Work closely with the M&E Specialist, Project Manager, and Field Coordinator to align analysis with project objectives.
- Train enumerators and field staff on digital data collection and basic data quality protocols.
- Support CSO capacity-building sessions by demonstrating practical data analysis tools.
Project Deliverables
- Cleaned and verified datasets from all monitoring activities.
- Regular analytical briefs highlighting key findings and trends.
- Data visualisations (dashboards, graphs, maps, infographics).
- Contributions to quarterly reports, PDM reports, and final project report.
- Documentation of lessons learned in data management and analysis.
Required Qualifications and Experience
Education
- Bachelor’s degree in Statistics, Economics, Computer Science, Data Science, Social Sciences, or related field (required).
- Professional certification in Data Analysis, M&E, or Data Science (desirable).
Experience
- Minimum 3 years’ experience in data management and analysis within development or humanitarian projects.
- Demonstrated experience working with international organisations.
- Strong track record of using statistical packages (SPSS or STATA) and qualitative analysis software (Atlas.ti.)
- Proficiency in digital data collection platforms (KoboToolbox, ODK, CommCare).
- Experience producing data visualisations and dashboards (Excel, Power BI etc).
- Familiarity with social protection programmes, cash transfers, or livelihood monitoring is an advantage.
Skills & Competencies
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with ability to simplify complex findings.
- Ability to work independently under pressure and meet tight deadlines.
- Strong attention to detail and commitment to data quality.
- Fluency in English required; knowledge of Hausa or other local languages is an asset.
Duration & Level of Effort
The role will be for an initial 6 months (full-time) with possibility of extension depending on performance.
Reporting Line
The Data Analyst will report directly to the Project Manager and work closely with the M&E Officer, other project staff, and GIZ technical teams.
Gmail
Yahoomail