General Summary
1) Data Collection
• Train Research Assistants in conducting data collection including quantitative data, qualitative data and costing data.
• Conduct costing data collection
2)Data cleaning and quality assurance
Data Cleaning:
• Perform data cleaning activities to eliminate duplicate records and resolve inconsistencies.
• Review and validate data transformations, including data recording and standardization.
• Develop and maintain standardized procedures for data cleaning and validation
Data Verification and validation
• Conduct thorough verification of data collected from various sources.
• Ensure data accuracy and consistency of the entered data.
• Identify and correct data discrepancies, errors, and outliers.
• Implement data validation checks and rules to identify potential data entry errors.
• Collaborate with data entry personnel to resolve data quality issues.
• Maintain documentation of data quality control processes and outcomes.
• Training Research Associates on data quality assurance.
3) Preliminary Analysis:
• Summarize and aggregate data to create descriptive statistics, including frequencies and distributions.
• Generate graphical representations of data, and prepare summary reports.
• Conduct exploratory data analysis (EDA) to identify patterns, trends, and outliers.
• Assist in the development of data analysis plans and research methodologies.
• Assist in generating preliminary findings and visualizations for research presentations.
• Contribute to the creation of preliminary research reports and presentations.

Collaborate with the data team to interpret preliminary findings.
4)Reporting
• Work collaboratively with colleagues and stakeholders to ensure effective communication of findings.
• Prepare reports and presentations that summarize data analysis and insights for diverse audiences.

Key Responsibilities
• Summarize and aggregate data to create descriptive statistics, including frequencies and distributions.
• Generate graphical representations of data, and prepare summary reports.
• Conduct exploratory data analysis (EDA) to identify patterns, trends, and outliers
• Conduct thorough verification of data collected from various sources.
• Ensure data accuracy and consistency of the entered data.
• Identify and correct data discrepancies, errors, and outliers.
• Implement data validation checks and rules to identify potential data entry errors.
• Collaborate with data entry personnel to resolve data quality issues.
• Maintain documentation of data quality control processes and outcomes.
• Training Research Associates on data quality assurance

Academic Qualifications
• Bachelor’s degree in Statistics with bias in Quantitative Economic
• Master’s degree in Public Health
• Statistical Packages: STATA or R programming

Person Specification
• Perform data cleaning activities to eliminate duplicate records and resolve inconsistencies.
• Review and validate data transformations, including data recording and standardization.
• Develop and maintain standardized procedures for data cleaning and validation.
• Train Research Assistants in conducting data collection including quantitative data, qualitative data and costing data.
• Conduct costing data collection.