Remote Information Management Analyst: Gender & Data

UN Women; Oregon; Hybrid; USD 46,000 - 74,000; Full time

Job summary

UN Women in Palestine seeks an Information Management Analyst to highlight gendered impacts of the crisis and inform humanitarian response. You will work with the cluster system to ensure sex, age and disability disaggregated data collection and analysis, support data visualization, and help prevent double counting across joint programmes.

The role requires strong information management skills, experience with Kobo/ODK, and a commitment to gender equality.

Qualifications

• Master’s degree or equivalent in gender, international development, data or information management is required.
• Two years’ humanitarian information management experience is required.
• Experience with gender, protection and accountability to affected populations (AAP) in humanitarian contexts is required.
• Experience with UN/NGO work and knowledge of the Arab region is desirable.

Responsibilities

• Provide information management support to UN Women’s programmatic activities in Palestine.
• Support information management, impact and reach analysis for humanitarian programming through Track-IT and interagency joint programming.
• Adapt and implement data collection tools (KoboToolbox, ODK) to capture SADD and intersectional indicators.
• Develop data visualization, dashboards, reports and data protection/compliance practices.
• Support inter-agency coordination bodies and mainstream gender across sectoral assessments.

Skills

Information management

Data analysis

Gender equality

Technical writing

Data visualization

Stakeholder coordination

Microsoft Office

Education

Master’s degree in gender / international development / data or information management

Bachelor’s degree + 2 years’ qualifying experience

Tools

KoboToolbox

ODK

Track-IT

Job description

UN Women in Palestine seeks an Information Management Analyst to highlight gendered impacts of the crisis and inform humanitarian response. You will work with the cluster system to ensure sex, age and disability disaggregated data collection and analysis, support data visualization, and help prevent double counting across joint programmes.

The role requires strong information management skills, experience with Kobo/ODK, and a commitment to gender equality.