Background

SoCha LLC is seeking a Statistician / Data Analyst to lead sampling design, data quality systems, and statistical analysis for a beneficiary satisfaction survey on digital payments under the Social Support for Resilient Livelihoods Project (SSRLP).

The role will ensure methodological rigor, reliable indicators, and clear analytical outputs to inform decision-making on digital payment delivery. The position is contingent on contract award and approval.

Project:

Beneficiary Satisfaction Survey on Digital Payments

Key Responsibilities

• Design a statistically sound sampling framework with appropriate representation.
• Configure digital data collection tools and real-time validation checks.
• Oversee data cleaning, coding, and documentation.
• Conduct descriptive and comparative analyses across payment channels and beneficiary groups.
• Produce datasets, codebooks, and analysis outputs suitable for replication.
• Contribute analytical sections to reports and presentations, explaining findings clearly to non-technical audiences.

Qualifications and Experience:

• Master’s degree in sociology, anthropology, development studies, or a related field.
• Master’s degree in statistics, econometrics, applied mathematics, or a related field.
• At least 5 years of experience in survey data management and analysis.
• Strong proficiency with Stata, R, SPSS, or Python.
• Experience designing sampling strategies and ensuring data quality control.
• Demonstrated ability to produce high-quality datasets and analytical reports.
• Experience with mobile data collection platforms (ODK, Kobo, SurveyCTO).
• Experience in Malawi or Sub-Saharan Africa (preferred but not required).

Location

Malawi preferred, remote optional

Duration

10-12 weeks

• Design a statistically sound sampling framework with appropriate representation.
• Configure digital data collection tools and real-time validation checks.
• Oversee data cleaning, coding, and documentation.
• Conduct descriptive and comparative analyses across payment channels and beneficiary groups.
• Produce datasets, codebooks, and analysis outputs suitable for replication.
• Contribute analytical sections to reports and presentations, explaining findings clearly to non-technical audiences.

• Strong proficiency with Stata, R, SPSS, or Python.
• Experience designing sampling strategies and ensuring data quality control.
• Experience with mobile data collection platforms (ODK, Kobo, SurveyCTO).

• Master’s degree in sociology, anthropology, development studies, or a related field.
• Master’s degree in statistics, econometrics, applied mathematics, or a related field.
• At least 5 years of experience in survey data management and analysis.
• Demonstrated ability to produce high-quality datasets and analytical reports.
• Experience in Malawi or Sub-Saharan Africa (preferred but not required).