Technical Data Specialist, Iris Midterm Evaluation at Social Impact

Specific Tasks:

The consultant will undertake the following specific tasks:

• Design processes of data collection instruments and schema workflows, ensuring the generation of multiple rounds of validation, leading to the development of an elaborate data collection system tailor-made according to the needs of the evaluation.
• Develop, create, and maintain a codebook to standardize coding practices that are used on the data to give consistency and accurate meaning across the dataset.
• Develop a fully detailed data analysis plan providing methodologies and procedures for qualitative and quantitative data. This data analysis plan will guide the analytical process and ensure its relevancy to the evaluation objectives.
• Analyze both qualitative and quantitative data in great detail. Interpret data into actionable insights that further the objectives of the evaluation.
• Design and implementation of analytical tools or scripts for an effective data analysis. This includes using data collection software to collect the evaluation data.
• Ensure throughout the evaluation that data quality, and the validation of that data, is done. Implement necessary mechanisms to assure accuracy and integrity of data.
• Analyze the quantitative and qualitative data using statistical software analysis and interpretation.
• Provide training support to field staff undertaking data collection.
• Support the TL in drafting a comprehensive evaluation report and two-page summary findings report.

Deliverables:

The consultant will produce the following deliverables and submit them to the ELMI Evaluation Director:

• A fully designed and implemented data collection system with detailed instruments of data collection and established workflows.
• A comprehensive codebook for standardizing data coding and consistency across the dataset is maintained.
• A detailed plan stipulating the methodologies and procedures for conducting qualitative and quantitative data analyses.
• Analytical tools and scripts developed to facilitate effective and efficient data analysis.
• Summary data analysis report with findings and visual for presentation to stakeholders
• Data analysis report on both quantitative and qualitative data, showing trends and patterns.
• Final evaluation report with detailed findings, conclusion, and recommendations.
• Notes from the validation Stakeholder Feedback session.

Qualifications

• Minimum of a Bachelor's degree, or equivalent, in statistics, data science or a related field.
• Over 5 years of progressively responsible professional experience in evaluation related data analysis for USAID or major development partners
• Understanding and knowledge of market systems, value chains and economic growth issues in East Africa, especially Somalia is preferred.
• Experience in GIS, QGIS, or ArcGIS for mapping analysis is preferred.
• Data visualization experience, including experience with platforms such as Microsoft PowerBI, Tableau, or similar
• Previous experience in conducting USAID evaluations, preferably economic growth, and market systems programs.
• Strong skills in quantitative and qualitative data analysis and collection.
• Excellent knowledge of Stata, R, SPSS and Nvivo or Tableau for qualitative analysis.
• Knowledge and previous evaluation experience in Somalia, Kenya, or other similar East African countries strongly desired and experience working USAID Economic Growth portfolio will be an added advantage.
• Proven strong leadership and team-work skills and ability to deliver results within specified and often changing timeframes.