IAM Mid-Term Evaluation Data Analyst - Uganda Learning Activity

QED is a global consulting firm with more than 20 years of experience providing data-driven and insightful solutions in close to 100 countries. We are passionate about transforming lives through knowledge-based solutions. Leveraging deep expertise in monitoring, evaluation, global health, and learning, we help our clients collect, analyze, visualize, and ultimately use data in more effective ways. Our work maximizes results through the use of cutting-edge technologies and innovation, organizational development, and evidence-based decision-making.

The purpose of the USAID Learning Activity (ULA) is to further strengthen USAID/Uganda performance and improve the performance of its implementing partners, with a focus on collaborating, learning and adapting, in order to enhance the impact and sustainability of USAID-supported contributions to Ugandaâs development. ULA will achieve this through three objectives:

Collaboration: Strengthened collaboration, both internally and with external stakeholders, enables USAID to better leverage expertise, learning and resources; and deepens local ownership. Learning: Systematic learning, through applied research, monitoring and evaluation, informs and improves the relevance, quality and cost- effectiveness of programs and operations Performing: Adaptive management of program implementation and meta-level interventions to improve the quality of USAID program outcomes.

The Feed the Future Uganda Inclusive Agricultural Marketing (FtF IAM) Activity, is a USAID-funded, five-year Activity, implemented by DAI Global LLC, USA, and its strategic partners Market Share Associates and TechnoServe. FtF IAM interventions are aimed at increasing incomes and improving the livelihoods of households. These interventions are being achieved through agriculture-led inclusive economic growth in 38 districts across the four regions of Uganda: Western, Eastern, Northern, Karamoja sub-region and selected refugee hosting districts, using a market system development approach. The Activity focuses investments on cross market functions that enhance systems change. The Activity partners with agribusiness firms, government of Uganda institutions, and market actor associations by aligning incentives and creating opportunities for these partners to invest in developing the market system that is economically viable, inclusive, and resilient. The Activity seeks collaboration with other development partners, civil society organizations, and the Government of Uganda (GOU) to address other constraints to the agriculture market system.

The Activity was designed to contribute to USAIDâs Global Food Security Strategy (GFSS) Uganda Country plan goal of reducing hunger, malnutrition, and poverty; and the USAID/Ugandaâs Country Development Cooperation Strategy (CDCS 2016 - 2021) Development Objective three (DO3): âKey systems more accountable and responsive to Ugandaâs development needsâ, and the new CDCS (2022-2027) Development Objective three (DO2): Resilient Growth Enhanced.

The purpose of this mid-term evaluation is to examine the extent to which the FtF IAM Activity has achieved the intended results and provide lessons learnt and recommendations for future programming, including new Activity designs and scaling into the resilience zone.

Position Overview:

The Data Analyst will be responsible for conducting qualitative analysis on various types of unstructured data to uncover insights and trends in a market systems development dataset.

Period of Performance:

November 2023 to February 2024

Level of Effort Expectations:

This position is expected to have an LOE of 15 days.

Responsibilities:

Perform qualitative analyses using methods such as thematic analysis, content analysis, discourse analysis, etc. on data from focus groups, in-depth interviews, open-ended survey responses, online discussions, and more. Leverage qualitative data analysis software like NVivo or ATLAS.ti to code, categorize, and analyze qualitative data sets efficiently. Identify key themes, concepts, trends, patterns, and relationships within qualitative data sets. Synthesize qualitative findings and interpret results to derive actionable insights. Communicate analysis results through presentations, reports, and visualization. Collaborate closely with internal teams to ensure analyses meet research objectives.

Deliverables:

The Data Analyst is expected to play a contributing role to the following deliverables:

Presentation of preliminary findings Draft evaluation report Final evaluation report

Requirements:

Master's degree in anthropology, sociology, psychology, communication, or related field with 5-10 years of professional experience conducting qualitative analysis preferably in a research setting. Strong analytical skills with the ability to think critically, see the big picture, and have attention to detail. Excellent written and verbal communication abilities. Proficient with NVivo, ATLAS.ti, or other CAQDAS platforms. Ability to work independently as well as collaboratively in a team environment. Innovative mindset to push boundaries in qualitative research. Understanding of ethical considerations in qualitative data collection and analysis.