Data analysis and visualisation for the WEPs/Private Sector and Gender Equality
Organizational Context
UN Women is the United Nations entity dedicated to advancing women's rights and gender equality globally. As a lead organization, it works to transform laws, institutions, and social norms to close the gender gap. The Women's Empowerment Principles (WEPs), managed by UN Women, guide businesses in promoting gender equality in the workplace, marketplace, and community, aligning with the 2030 Agenda and SDGs.
Job Purpose
The assignment aims to enhance the data collection, analysis, and communication processes within the WEPs Global Secretariat. This involves supporting the development of data dashboards and compelling data stories derived from the annual Global WEPs Survey and signatory data. The volunteers will contribute to creating more accessible, interactive, and regularly updated data products. This role offers an opportunity to gain insights into how data supports gender equality initiatives within the private sector and to build connections with the UN Women WEPs team.
Responsibilities
The Online Volunteers will support the WEPs Global Secretariat in improving data processes. Responsibilities include connecting and cleaning datasets, analyzing data to identify trends and insights, and developing methodological notes for the WEPs Survey. Specific tasks involve designing and building dynamic, accessible, and interactive online dashboards. This includes visualizing incoming survey data and signatory data, creating automated pipelines for data integration, and presenting the global WEPs community's growth and composition. Volunteers will work under the guidance of the Coordinator for the Global WEPs Secretariat.
Work Experience
Candidates should possess advanced computer skills and demonstrated proficiency in data analysis and visualization. Experience is required in interactive dashboard development, data storytelling, data cleaning and transformation, data integration, and automated data workflows. Familiarity with platforms like Power BI, Microsoft data environments, or other modern data visualization tools is expected.
Skills
Key skills include data science, information management, Artificial Intelligence, knowledge management, research, reporting, and statistics. Proficiency in data analysis, visualization, interactive dashboard development, data storytelling, data cleaning, transformation, integration, and automated workflows is essential. Familiarity with Power BI and modern data visualization platforms is also required.