Overview
The Programme Policy Officer (Data Analyst) – NOA will lead the development and operationalization of data-informed frameworks to enhance identification and prioritization of vulnerable people for assistance, and to track and report on beneficiaries during the delivery cycle.
Key Responsibilities
- Lead the development and operationalization of data-informed framework that enhances identification and prioritization of vulnerable people for assistance.
- Design, institutionalize and maintain analytical tools to track, flag, and report people who are planned for assistance and also dropped during the monthly delivery cycle.
- Lead data-informed assurance by identifying and flagging anomalies across corporate systems (SCOPE, COMET, WINGS), ensuring accurate reconciliation of transfers and programme data.
- Establish and maintain in-kind reconciliation mechanisms across platforms (COMET, SCOPE and LESS).
- Support Area Offices in monitoring anomalies in Payment Lists using the Redemption and Enrolments Dashboard, ensuring compliance with corporate procedures.
- Oversee deduplication processes, ensuring timely suspension of biometric duplicates and reporting compliance to senior management.
- Strengthen and enforce business rules to prevent the introduction of new duplicates across delivery systems.
- Develop and maintain a visualization tool to display near real-time delivery cycle progress.
- Develop and maintain dashboards and analytical tools to monitor programme performance and beneficiary trends.
- Produce monthly reports including transfer and programmatic reconciliation reports.
- Develop automated reports, dashboards, and data visualization tools.
- Guide CO and AO staff on data extraction, usage, and interpretation.
- Ensure full compliance with WFP data governance, privacy, and security policies.
- Provide timely and accurate support to ad hoc data analysis and extraction requests.
Required Experience
At least one (1) year of relevant experience with advanced University Degree OR First University degree with a minimum of three (3) or more years of experience in data analytics, reconciliation, identity management, operational dashboards, or related fields.
Qualifications
Advanced University degree in data science, computer science, information systems, mathematics, statistics, or any science/logic related discipline. OR First University Degree with additional years of relevant work experience and/or training/courses.
