Data Analysis and Visualisation for the WEPs/Private Sector and Gender Equality

Data analysis and visualisation for the WEPs/Private Sector and Gender Equality

Attention! Please note that this is an Online Volunteering assignment. It's a short-term, task-based and non-contractual remote assignment; Online Volunteers are not UN Volunteers and do not receive any allowance or entitlements as part of the Online Volunteer assignment but receive a certificate of appreciation after successful completion. In addition, UNV is not involved in the selection process or collaboration.

Host entity: UN Women

Advertisement end date: 2026-11-11T00:00:00

General

Description of assignment title: Data analysis and visualisation for the WEPs/Private Sector and Gender Equality

Assignment country: United States of America

Duration: 84 days

Sustainable Development Goal: 5. Gender equality

Modality: Online

Work schedule: 16 - 20 hours per week

For how many hours per week will the volunteer be required?: 16 - 20 hours per week

Number of Assignments: 3

Details

Mission and objectives

UN Women exists to advance women’s rights, gender equality, and the empowerment of all women and girls.

As the lead United Nations entity on gender equality, we shift laws, institutions, social norms, and services to close the gender gap and build an equal world for all women and girls.

We keep the rights of women and girls at the centre of global progress—always, everywhere. Because gender equality is not just what we do. It is who we are.

The Women’s Empowerment Principles (WEPs) are a global initiative managed by UN Women, offering guidance to business on how to advance gender equality and women’s empowerment in the workplace, marketplace and community.

WEPs are a primary vehicle for corporate delivery on gender equality dimensions of the 2030 agenda and the United Nations Sustainable Development Goals.

Context

The 2026 Global WEPs Survey is an annual global data collection designed to measure how WEPs signatories are advancing gender equality across the seven WEPs Principles. The Survey creates a common global evidence base for WEPs and UN Women reporting, programme design and private-sector engagement, while providing companies with aggregated insights by dimensions such as region, sector and company size.

In parallel, the WEPs Secretariat maintains signatory-level data on companies participating in the WEPs community.

Together with other WEPs data sources, this creates an opportunity to move from static reporting towards more accessible, interactive and regularly updated data products. The Secretariat is therefore seeking two Online Volunteers to support the development of data dashboards and compelling data stories.

Task type

Data analysis

Task description

In order to improve the data collection, analysis and communication process within the WEPs Global Secretariat, the Secretariat is seeking three Online Volunteers to support the development of data dashboards and compelling data stories.

The volunteers will work under the guidance of the Coordinator for the Global WEPs Secretariat. The Online Volunteers will be responsible for:

Volunteer 1: Data Analysis

• Connect and clean datasets
• Support analysis and identification of compelling data stories, trends and insights from two datasets
• Develop methodological note on analysis of WEPs Survey

Volunteer 2: Global WEPs Survey Dashboard

• Connect incoming survey data to dynamic dashboards and visualizations.
• Design an accessible, interactive online dashboard with data stories

Volunteer 3: WEPs Data Dashboard

• Build an automated pipeline connecting incoming signatory data to dynamic dashboards and visualizations
• Design an accessible and engaging dashboard presenting the global WEPs community and its growth, reach and composition;

The Online Volunteer(s) will be provided with datasets to conduct the analysis and are required to update on the progress during regular calls.

The Online Volunteer/s will have the opportunity to build connections with the UN Women Women's Empowerment Principles team and learn about the ways in which data can support gender equality through and with the private sector.

Assignment requirements

Relevant experience: No experience required

Languages: English, Level: Working knowledge, Required

Required education level: Bachelor's degree Data Science Data Analytics / Business Analytics Statistics / Applied Statistics Computer Science Information Systems / Data Management

Area(s) of expertise: Data science, information management, Artificial Intelligence, Knowledge management, research, reporting, Statistics, population science

Driving license: -

Skills and experience

Candidates should have advanced computer skills and proficiency in Data analysis and visualization; interactive dashboard development; data storytelling; data cleaning and transformation; data integration and automated data workflows; Power BI and Microsoft data environments; and/or modern data visualization platforms.

A degree in related fields, or specializations in communicating data is an asset; as is knowledge of gender equality.