Key Accountabilities / Responsibilities

Core Quality Assurance Responsibilities

The Quality Assurance Analyst will work closely with project teams to perform a variety of tasks including, but not limited to:

• Monitor and review research data to ensure accuracy, completeness, and consistency across qualitative and quantitative datasets.
• Identify, troubleshoot, and resolve discrepancies or irregularities in internal and external research data, serving as a quality assurance resource for project teams and leadership.
• Work closely with project teams to source, clean, structure, and validate datasets to ensure they meet internal data quality standards.
• Conduct quality assurance reviews of survey instruments, ensuring alignment with research objectives, logical flow, clarity of questions, and methodological rigor.
• Coordinate QA checks during survey development, including formatting, logic testing, translation review, and liaising with survey programming teams.
• Support monitoring of data collection processes to ensure adherence to research protocols, ethical standards, and quality benchmarks.
• Work closely with the Project Operations team and project staff to plan and implement quality assurance processes for field operations and data collection.
• Conduct data audits, spot checks, and validation processes during fieldwork and data collection phases.
• Review drafts of client reports, analysis outputs, and research deliverables to ensure accuracy, consistency, and alignment with underlying data.
• Support Associates and Senior Associates in preparing materials such as drafts of client reports, methodological documentation, research summaries, and presentations.
• Support multiple large-scale research and advisory projects simultaneously while ensuring quality standards are maintained across deliverables.
• Identify opportunities to strengthen internal research quality assurance systems and contribute to improving internal QA processes, templates, and documentation.
• Coordinate project activities related to research quality and data integrity, including timelines for data verification, analysis review, and reporting.
• Participate in fieldwork and project activities where required to ensure compliance with quality assurance protocols.
• Ensure coordination with relevant Busara teams including finance, procurement, operations, facilities, and wellness to support smooth implementation of research engagements.
• Perform any other duties as may be assigned by the project supervisor.

Knowledge, Skills, and Experience

Minimum 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

Desired Qualifications

• 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.

We encourage you to apply as soon as possible.