Programme Associate (VAM Data Analyst & Reporting)

The Programme Associate (VAM Data Analyst & Reporting) supports the development and implementation of VAM projects, data analysis, and reporting to inform food security and vulnerability assessments. The role involves coordination with partners, capacity building, and contributing to emergency response activities in Liberia.

Responsibilities

• Contribute to the development of VAM projects and activities, plans and processes, ensuring alignment with wider WFP policies and guidance.
• Support the development of systems and tools for the monitoring and assessment of food assistance needs in line with innovative methodologies and best practice.
• Support the development of food security and vulnerability analysis and the preparation of timely reports on food assessment needs in line with wider VAM policies, processes and guidance to enable effective decision-making on the development of country strategy, policies and programmes.
• Provide assistance on the coordination of data gathering and monitoring systems, ensuring that rigorous quality standards are maintained.
• Liaise with implementing partners (internal and external) to monitor ongoing projects, ensuring effective collaboration, timeliness and efficiency and highlight potential risks to project delivery.
• Support the capacity building of WFP staff, partners and national government to conduct vulnerability analysis to effectively inform preparedness and response activities.
• Provide support to relevant partners that are focusing on food security and nutrition issues to enable sharing of experience, lessons learned and best practice.
• Act in an assigned emergency response capacity as required to meet emergency food assistance needs.
• Perform other related duties as required.

Requirements

• First university degree in a field relevant to measurement (statistics, data science, information management, econometrics, or research) or other related functional area, is required.
• 6 years of related work experience with Tableau, quantitative data analysis software (e.g., SPSS, STATA and/or R), qualitative data analysis software (e.g., NVivo, MAXQDA and/or ATLAS.ti) and Python required.
• Experience with additional programming languages is a plus.
• Experience in designing and conducting advanced quantitative and qualitative analyses and the generation of evidence-based dashboards and reports is highly desirable.
• Proven experience in producing high-quality data analysis and reports, requiring English-language skills that translate complex ideas into simple messages.
• Data visualization skills with tools such as Excel, Tableau or Microsoft Power BI and expert experience in information management software, including Excel as a minimum standard.
• Solid IT skills, including working on multiple platforms simultaneously.
• Ability to follow procedures and instructions.
• Capacity and attitude to learn quickly are desired skills.
• Attention to detail, problem-solving skills, and ability to meet targets in a high-pressure environment.
• Oral and written working knowledge of English.
• Level C English language is required (Oral & Written)

Skills

• Tableau
• SPSS
• STATA
• Python
• NVIVO
• MaxQDA
• ATLAS.ti
• Quantitative Analysis
• Qualitative Analysis
• Data Visualization
• Excel
• Power BI
• Information Management
• Dashboard Development
• Report Writing
• Data Analysis
• Programming Languages
• Statistical Analysis

Languages

English