Qualifications

• Minimum Bachelor’s degree in economics, statistics, or any other relevant field
  
• Minimum of 2 or 3 years of experience in quantitative research methods and data management, preferably with large and/or complex datasets.
  
• At least 1-year full time experience conducting data cleaning using Stata, R, Python or MatLab for large datasets (mandatory)
  
• Experience in working with and programming data entry interfaces using a variety of applications both purchased and open source. Knowledge of SurveyCTO, CSPro, ODK, KoBo and Access will be an added advantage (SurveyCTO and/or ODK highly preferred)
  
• Well conversant with the use of MS Office applications especially Excel.
  
• Ability to work under pressure in a working environment that changes suddenly to accommodate new data needs
  

1. Support Development and Digitization of Data Collection Tools

Assist in digitizing data collection instruments in SurveyCTO and other electronic platforms under the guidance of the Senior Associate.

Examples of activities:

• Digitize questionnaires in SurveyCTO or other electronic data collection platforms
  
• Program survey logic, skip patterns, validations, and constraints as directed
  
• Test electronic forms and document any errors or issues identified
  

2. Provide Fieldwork Support

Assist with technical support to data collectors during fieldwork under the supervision of the Senior Associate.

Examples of activities:

• Monitor incoming data submissions and flag issues to the Senior Associate
  
• Assist in troubleshooting technical problems with electronic forms during data collection
  

3. Execute Data Quality Assurance Tasks

Implement quality checks and validation processes to support data integrity under the guidance of the Senior Associate.

Examples of activities:

• Run validation scripts to check completeness, cleanliness, and consistency of program data
  
• Conduct data cross-validation across multiple sources as directed
  
• Document and report data quality issues to the Senior Associate
  

4. Execute Data Processing and Cleaning

Carry out data cleaning, processing, and management tasks following established protocols and procedures.

Examples of activities:

• Clean, process, and prepare datasets for analysis and reporting
  
• Document all data cleaning processes and steps completed
  
• Support data collation from multiple sources into unified datasets
  

5. Support Data Analysis and Reporting

Contribute to basic analysis and reporting tasks as assigned.

Examples of activities:

• Generate descriptive statistics and summaries from program data
  
• Assist in preparing data visualizations for program reporting
  
• Flag data anomalies or emerging trends to the Senior Associate