Hybrid Quality Assurance Lead Assistant

at Busara

• Job title: Quality Assurance Lead Assistant
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, Uganda

About the role

• Quality Assurance Assistant ensuring data integrity and consistency in research processes for Busara. Collaborating with project teams to monitor data quality and support both qualitative and quantitative research projects.

Responsibilities

• The Quality Assurance (QA) Assistant supports the advisory arm of Busara by ensuring the integrity, reliability, and consistency of research processes, data, and project deliverables.
• The Quality Assurance (QA) Assistant works closely with project teams to support monitoring of data quality, strengthening research processes, and ensuring that project outputs meet Busara’s quality standards.
• The role involves supporting both qualitative and quantitative research projects by reviewing data collection processes, conducting quality checks, identifying inconsistencies, and working with project teams to resolve issues.
• The Quality Assurance (QA) Assistant will also support the review of reports, analyses, and client deliverables to ensure methodological rigor and adherence to internal standards.

Requirements

• A Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, Economics, or a related field.
• Demonstrated interest or experience in quality assurance, data validation, process monitoring, or audit of research/data workflows.
• Strong analytical and problem-solving skills with the ability to identify patterns, discrepancies, errors, and inconsistencies in datasets or processes.
• Excellent organizational skills with strong attention to detail while maintaining a broader perspective on project objectives and quality standards.
• Strong interpersonal, written, and verbal communication skills, with the ability to report findings and recommendations clearly.
• Ability to manage multiple tasks efficiently in a fast-paced environment.
• High level of self-motivation and energy with a proactive and solutions-oriented attitude.
• Ability to work independently as well as collaboratively within multidisciplinary teams.
• Fluency in English with excellent writing and communication skills.
• Ability and willingness to travel to project locations as required, including in-country and regional sites.
• Familiarity with research quality frameworks, auditing methods, and QA best practices.
• Experience with data validation and cleaning using statistical or programming tools such as R, Python, STATA, SAS, or similar.
• Exposure to large-scale research, evaluation, or consulting projects, including monitoring and QA processes.
• Experience supporting research, data, or analytics projects in complex or multi-country contexts.
• Understanding of data management systems and workflows, including experimental and observational study designs.
• Familiarity with behavioral science research methodologies.

Benefits

• We encourage you to apply as soon as possible.
• Personal information will be collected and stored as part of recruitment process.