United for Care-Sensitive Approaches (UCARE) is a CAD $9.8M five-year project funded by Global Affairs Canada which will run from April 2024 – March 2029. The project seeks to enhance the well-being of women and adolescent girls in northern Ghana by redistributing and reducing the heavy, unequal and unfair burden of unpaid care and domestic work (UCW) they perform. The project operates within the Canadian Feminist International Assistance Policy and supports the objectives of the Government of Ghana in meeting its commitment to the Sustainable Development Goals, especially SDG 5.4.

The Role
Alinea International is seeking the expertise and services of a quantitative analyst/statistician to work with the Ghana Statistical Service (GSS) to analyse time use data collected on the issue of unpaid care and domestic work in Ghana. The scope consists of additional analysis of data previously collected through the Ghana Living Standards Survey and a Time Use survey conducted in 2009. The Ghana Statistical Service has made its pre-existing data sets available to the UCARE project for further analysis. The work will focus on drawing out and highlighting the relevant data, trends and issues relevant to unpaid care work.
The GSS also publishes policy briefs which highlight the statistical analysis for public policy and planning decisions. The Consultant will work with the relevant staff members at the GSS, to develop insights that can help develop public policy and programs for addressing the unfair burden of unpaid care work on women and adolescent girls in Ghana.

Duties and Responsibilities

• Conduct a comprehensive review of existing datasets from the recent three rounds of GSS living standards surveys
• Collaborate with GSS to assess comparability of data across years
• Consult with the UCARE team (and partners) to identify potential connections between UCW and Health, Education and Economic policy/programs
• Collaborate with GSS to analyze data
• Develop national level findings
• Disaggregate analysis and findings for selected 3 regions and 10 districts within them

Required Qualifications:

• University degree in a relevant field (such as statistics, data science)
• Experience in statistical analysis on large-size datasets
• Expert in using data analysis software (such as Stata, Power BI)
• Demonstrated ability to generate data-based insights to support public sector decisions – especially in education, health, agriculture and economic sectors
• Understanding of gender related concepts