Remote Info Management Analyst: Gender Data

UN News; Polska; Hybrid; PLN 158,000 - 276,000; Full time

Job summary

UN Women in Palestine is seeking an Information Management Analyst for a home-based consultancy. You will support humanitarian data management, implement gender-sensitive data collection, and contribute to joint programmes under Horizon Fund.

The role collaborates with GiHA, clusters, and partners to ensure data quality and secure handling. You will design dashboards, maps, infographics and reports, and build capacity of local partners while protecting data privacy and ensuring gender analysis

Qualifications

• Advanced degree in gender, development, or data-related field.
• Experience in humanitarian data management and gender analysis.
• Familiarity with data visualization tools and dashboards.
• Knowledge of inter‑agency coordination and reporting.
• Ability to work with diverse stakeholders and maintain data privacy.

Responsibilities

• Provide information management support to UN Women’s programmatic activities in Palestine.
• Integrate gender focus in data collection and analysis for humanitarian action.
• Improve accessibility of gender data for cluster leads and leadership.
• Support WASIL CFM information management and referrals.
• Develop data management protocols and dashboards for joint programmes.

Skills

Gender analysis

Data visualization

Information management

Capacity building

Stakeholder engagement

Education

Master’s degree in gender, international development, data and statistics, or information management

Tools

KoboToolbox

ODK

TrackIT

Job description

UN Women in Palestine is seeking an Information Management Analyst for a home-based consultancy. You will support humanitarian data management, implement gender-sensitive data collection, and contribute to joint programmes under Horizon Fund.

The role collaborates with GiHA, clusters, and partners to ensure data quality and secure handling. You will design dashboards, maps, infographics and reports, and build capacity of local partners while protecting data privacy and ensuring gender analysis