Senior Data Analyst

Job Summary

The Senior Data Analyst designs, administers, and scales evaluation strategies and quality validation models for regional development programs. Core daily tasks include architecting impact analysis logic patterns in R or Python, auditing digital survey deployment kits inside SurveyCTO, running Extract-Transform-Load (ETL) data pipelines, checking cross-country databases for quality issues, hosting analytical capacity training for local MEL specialists, and presenting interactive tracking dashboards to institutional funding boards.

Required Academic & Tenure Foundations

• Professional Tenure: Minimum of 5+ years of progressive professional experience operating directly within data analytics, program evaluation models, database management, or strict monitoring and evaluation (M&E) systems.
• NGO Footprint: Demonstrated experience establishing data quality frameworks or leading quantitative evaluation studies inside development organizations, international NGOs, or massive public-sector impact programs.
• Academic Background: Bachelor’s degree in Statistics, Economics, Quantitative Economics, Computer Science, Mathematics, Population Studies, Monitoring & Evaluation, Data Science, or a closely related quantitative field.
• Linguistic Matrix: Absolute professional fluency in written and verbal English is strictly required.

Required Technical Tooling & Data Stack

• Statistical Scripting: Advanced, hands-on engineering proficiency utilizing statistical processing setups and programming models, including Python, R, STATA, Alteryx, or Epi Info.
• Database Operations & Visualizations: Strong technical command of database engineering, structural query systems (SQL), advanced Excel manipulation, and enterprise visualization platforms like Tableau or Power BI.
• Mobile Data Collection Systems: Extensive familiarity structuring and deploying secure field survey instruments across modern open-source digital ingestion platforms, such as SurveyCTO, Survey123, KoboToolbox, or CommCare.
• Methodological Competence: Comprehensive understanding of impact evaluation models, statistical power analysis, randomized control trial designs, sampling rules, and data governance standards.

Preferred Qualifications & Cultural Assets

• Advanced Education: Master’s degree or Postgraduate Diploma in Monitoring & Evaluation, Statistics, Data Science, Economics, or an equivalent advanced research branch is highly advantageous.
• Geographic Exposure: Direct experience evaluating rural community development campaigns or managing multi-country data pipelines specifically within the East African landscape.
• Multilingual Capability: Working professional proficiency or conversational fluency in the French language is highly desirable to support cross-border operations (DRC hub).

Key Responsibilities

1. Program Evaluation Architecture & Advanced Analytics (50%)

• Design Evaluation Frameworks: Formulate and implement advanced analytical strategies and research designs to evaluate program efficacy, long-term impact metrics, and socio-economic community growth.
• Build Analytical Pipelines: Construct operational statistical workflows using R and Python to process complex multi-layered field datasets, moving past simple metrics into advanced predictive models.
• Deliver Actionable Insights: Translate dense, unstructured database info into scannable operational summaries, helping regional managers make data-backed adjustments to field programs.
• Support Innovation Loops: Use ongoing evidence logs to identify program delivery bottlenecks, recommending structural changes to optimize RTV's community delivery model.

2. Data Management, Ingestion Pipeline Governance & Integrity (20%)

• Maintain Data Ingestion: Oversee the end-to-end data lifecycle—including mobile field collection, validation checks, extraction routines, and long-term secure cloud storage across all active country programs.
• Run Data Audits: Establish and manage strict data quality assurance (DQA) practices, running routine system audits and cleaning logs to ensure database accuracy.
• Validate Survey Instruments: Review, test, and optimize field survey forms (such as SurveyCTO or KoboToolbox templates) before field deployment to eliminate parsing errors.
• Enforce Data Governance: Align internal database architectures with international data compliance rules, donor requirements, and strict local privacy frameworks.

3. Technical Leadership, Cross-Team Syncs & Capacity Building (20%)

• Mentor Local Teams: Provide direct technical leadership, engineering coaching, and analytics mentorship to local MEL officers across the region.
• Connect Cross-Functional Squads: Act as the technical translator between field monitoring teams, project execution leads, system engineering squads, and corporate stakeholders.
• Scale Technical Literacy: Design and run structured analytics workshops for country teams, elevating the organization's overall ability to run self-serve data operations.

4. Interactive Reporting & Stakeholder Engagement (10%)

• Author Technical Reports: Draft clear, data-backed evaluation summaries, project balance sheets, and impact statements tailored for senior management and local government agencies.
• Build Live Dashboards: Design and maintain automated reporting systems and live Power BI / Tableau dashboards to keep global institutional donors updated on program performance.
• Resolve Data Inquiries: Serve as the primary technical point of contact for complex analytical questions, handling internal and external data requests quickly and professionally.

Core Competencies & Skills

• Rigorous Quantitative Thinking: An exceptional ability to isolate statistical anomalies, hidden trends, and data biases within large, unstructured text and numerical data sets.
• Empathetic Team Mentorship: A clear, collaborative communication style that makes it easy to explain complex statistical models to non-technical country staff.
• Agile Project Coordination: Strong organizational and time-management habits, allowing you to manage multiple multi-country data timelines simultaneously.
• Unyielding Attention to Detail: An uncompromising commitment to data accuracy, ensuring no survey error or database mismatch goes unnoticed.

Skills Required:

• Computer / Software / It / Data
• Economics / Statistics