The Agrifood System Transformation for Youth Employment (ASTYE) Uganda program

ASTYE is a 5-year transformative initiative designed to enable dignified and fulfilling work opportunities primarily for financially disadvantaged young women, refugees, and vulnerable groups by addressing structural barriers in Uganda’s Agrifood system. Aligned with Uganda’s Vision 2040, the National Development Plan and Government of Uganda Agriculture Value Chain Development Strategy, the program will contribute to national efforts toward poverty alleviation, economic growth, as well food and nutrition security. Additionally, ASTYE is part of the Mastercard Foundation’s Young Africa Works strategy in Uganda, which aims to empower 4.3 million young Ugandans, particularly young women, by addressing structural barriers to employment and providing them with the skills and resources to succeed.

Specifically, GOAL will implement component one to reach 500,000 financially disadvantaged young people, with 400,000 transiting into work and 320,000 securing dignified and fulfilling work. As the program is young women-centric, 80% of the total outreach target will be young women within Uganda’s agrifood ecosystem. Furthermore, 3% of the total youth in work target will be refugees, and another 3% will be people with disabilities.

Job summary

The data officer will be part of a team of MEAL staff in charge of monitoring, Evaluating and measuring the impact of program activities, conducting research and reporting. The data officer is expected to play an important role in the implementation of ASTYE program and GOAL’s MEAL functions to enable efficient data management and reporting of the implementation of partnerships with intervention partners (e.g., private sector, CSOs/CBOs); and to understand whether expected results are delivered. S/he will be responsible for establishing and maintaining accurate and up-to-date databases to inform program indicators. The data officer will work alongside the MEAL Coordinator, MEAL specialist, MIS specialist and MEAL officers. He or she will also be supported by the Program’s Management Unit.

To be successful in this role, you will need:

Essential

• Bachelor’s degree in Statistics, Economics, Social Sciences, Computer Science or Data Analytics.
• 2 years demonstrated experience with data management systems, databases, complex SQL queries and dashboards in a donor – funded project
• Experience with managing, cleaning, and analyzing large databases.
• Strong expertise in statistical analysis software and data-visualization platforms Power BI or Tableau.
• Good computer skills (MS Word and Excel)

Desirable

• Experience in collaborating and working with both private and public sector and CSOs.

The key responsibilities of the role will be:

Database Management, Data cleaning, Data visualization, Analysis & Reporting

• Maintain regular and updated reports, trackers, dashboards and data visualizations to provide insights into program progress.
• Implement centralized databases to ease data access and reporting by authorized Program staff.
• Participate in building staff capacity in data quality assurance and familiarization with relevant databases and dashboard procedures.
• Participate in program studies including Diagnostic Market research/ baseline, Barrier analysis, Action research, annual surveys, midterms and endline surveys.
• Conduct In-depth data analysis to extract meaningful insights from various data sources
• Produce and update information products such as reports, charts, and infographics by turning data into graphical products or meaningful tables to convey messages.
• Monitor accuracy of data collected in line with the Program’s data Cleaning Minimum Standards
• Implement quarterly data quality assurance activities according to the MEL plan (e.g. data validation and verification and cleaning).
• Ensure backend program data quality controls are in place and functional.
• Provide ongoing technical support to partners in data management and use.
• Identify and address capacity gaps in data handling among implementing program staff and partners.
• Document and share best practices and lessons learned from data use.
• Support the generation of data for quarterly and annual reports.
• Maintain the strictest confidentiality on all data collected and related processes, ensuring full compliance with Uganda and GOAL’s data protection policies and SOPs.