Job Information

Title Quantitative/Qualitative Data Analyst (Temporary)

Department MERIIT

Duty Station Neno District

Reports to Research Officer

Second Line Reporting Research and Impact Manager

Commitment Full-time

Working Hours 40 hours per week

Job Summary:

The Quantitative/Qualitative Data Analyst will play a pivotal role in supporting research, program evaluation, and evidence generation activities within Partners In Health/Abwenzi Pa Za Umoyo (PIH/APZU). The incumbent will be responsible for managing, analyzing, interpreting, and presenting both quantitative and qualitative data to inform research findings, programmatic decision-making, policy development and quality improvement initiatives.

Working closely with the Principal Investigator, Research Officer, program teams, and external collaborators, the Data Analyst will support the implementation of research protocols, ensure high-quality data analysis, and contribute to the generation of evidence that strengthens health systems and improves patient outcomes. The role requires expertise in statistical and thematic analysis, data visualization, report writing, and interpretation of findings within public health and social science contexts.

The incumbent will contribute to the development of research outputs, including reports, presentations, manuscripts, conference abstracts, and policy briefs, while ensuring adherence to ethical standards, research protocols, and organizational priorities.

3.0 Core Responsibilities

3.1 Quantitative Data Analysis

• Conduct statistical analysis of research, programmatic, and survey datasets in accordance with approved study protocols and analysis plans.
• Perform data cleaning, validation, management, and quality assurance to ensure accuracy, consistency, and completeness of datasets.
• Analyze retrospective and prospective datasets using appropriate statistical methods and analytical techniques.
• Generate descriptive, inferential, and advanced statistical analyses to address research questions and study objectives.
• Develop statistical models and conduct trend analyses, regression analyses, and other analytical approaches as required.
• Support database management and preparation of datasets for analysis and reporting.
• Interpret analytical findings and provide evidence-based recommendations to support program implementation and decision-making.

3.2 Qualitative Data Analysis

• Conduct thematic analysis of qualitative data obtained through interviews, focus group discussions, observations, and other research methodologies.
• Transcribe, review, code, organize, and analyze qualitative datasets using approved analytical frameworks.
• Utilize qualitative data analysis software such as NVivo, Dedoose, or similar platforms to facilitate systematic analysis.
• Identify emerging themes, patterns, barriers, facilitators, and key findings relevant to study objectives.
• Synthesize qualitative findings and integrate them with quantitative results to support mixed-methods research approaches.
• Ensure qualitative analysis maintains methodological rigor and accurately reflects participant experiences and perspectives.

3.3 Research Implementation and Technical Support

• Collaborate with Principal Investigators, Research Officers, and study teams throughout the research lifecycle.
• Support the development and implementation of data analysis plans, research protocols, and study tools.
• Participate in study design discussions and contribute technical recommendations on data management and analytical approaches.
• Provide technical support during data collection, data verification, and data quality improvement activities.
• Ensure compliance with research ethics requirements, data protection standards, and organizational policies.
• Support preparation of datasets and documentation for external reviews, audits, and dissemination activities.

3.4 Reporting, Dissemination, and Knowledge Management

• Prepare comprehensive analytical reports, summaries, presentations, and dashboards based on study findings.
• Support the development of manuscripts, abstracts, conference presentations, policy briefs, and technical reports.
• Present findings to internal and external stakeholders in a clear and meaningful manner.
• Collaborate with research and program teams to translate data into actionable recommendations for policy and practice.
• Support organizational learning through dissemination of research findings and best practices.
• Maintain organized and secure analytical files, datasets, coding outputs, and study documentation.

3.5 Stakeholder Engagement and Collaboration

• Work closely with multidisciplinary teams, including clinical, programmatic, monitoring and evaluation, and research staff.
• Collaborate with academic institutions, government stakeholders, implementation partners, and donors as required.
• Participate in research meetings, technical working groups, data review sessions, and dissemination events.
• Foster collaborative relationships that support evidence generation and utilization across PIH/APZU programs.
• Contribute to strengthening a culture of data use and evidence-based decision-making within the organization.

3.6 Capacity Building and Professional Development

• Provide mentorship and technical support to research assistants, data collectors, and junior research staff on data analysis methodologies.
• Support training initiatives related to quantitative and qualitative research methods, data management, and analytical software.
• Stay informed about current developments in public health research, epidemiology, biostatistics, and qualitative methodologies.
• Participate in continuous professional development opportunities and contribute to strengthening analytical capacity within the Research Department.
• Perform any other duties assigned within the Research Department from time to time.

4.0 Expected Competencies, Attributes, and Behaviors

4.1 Core Competencies

• Quantitative Analysis and Biostatistics: Demonstrated expertise in statistical analysis, data interpretation, and management of complex datasets.
• Qualitative Research and Analysis: Strong knowledge of thematic analysis, coding frameworks, qualitative methodologies, and mixed-methods research.
• Research Methodology: Solid understanding of epidemiological methods, study design, implementation science, and health systems research.
• Data Management and Quality Assurance: Ability to maintain high-quality datasets through rigorous cleaning, validation, and quality control processes.
• Scientific Writing and Dissemination: Ability to develop high-quality reports, manuscripts, presentations, and knowledge products for diverse audiences.

4.2 Behavioral Attributes

• Analytical Thinking: Demonstrates strong critical thinking and problem-solving skills when interpreting complex datasets and research findings.
• Attention to Detail: Maintains high levels of accuracy, consistency, and quality in all analytical tasks.
• Integrity and Confidentiality: Adheres to ethical principles and maintains confidentiality of research participants and organizational data.
• Collaboration and Teamwork: Works effectively with multidisciplinary and multicultural teams across different levels of the organization.
• Adaptability and Innovation: Demonstrates flexibility and openness to innovative approaches in research and data analysis.
• Results-Oriented Approach: Focuses on delivering high-quality outputs within established timelines while maintaining methodological rigor.

4.3 Technical Competencies

• Statistical Software Proficiency: Advanced knowledge of SPSS, STATA, R, Python, or other statistical analysis software.
• Qualitative Analysis Software: Experience using NVivo, Dedoose, Atlas.ti, or related qualitative data analysis platforms.
• Data Visualization: Ability to develop meaningful visualizations, dashboards, and presentations that effectively communicate findings.
• Database and Data Systems Knowledge: Familiarity with electronic data collection and management systems including CommCare, ODK, REDCap, SurveyCTO, OpenMRS, or similar platforms.
• Communication and Presentation Skills: Ability to communicate complex analytical findings to both technical and non-technical audiences.

5.0 Qualifications and Experience

• Bachelor’s Degree in Statistics, Public Health, Epidemiology, Computer Science, Social Sciences, Mathematics, Biostatistics, Data Science, or a related field.
• Minimum of two (2) years of experience in quantitative and/or qualitative data analysis, preferably in public health, research, development, or social science settings.
• Demonstrated experience conducting quantitative data analysis using SPSS, STATA, R, Python, or related software.
• Demonstrated experience conducting qualitative analysis using NVivo, Dedoose, Atlas.ti, or similar software packages.
• Strong understanding of statistical methods, research methodologies, and data management principles.
• Experience working with electronic data collection tools such as CommCare, REDCap, SurveyCTO, ODK, KoboToolbox, or related platforms.
• Proven ability to prepare technical reports, presentations, manuscripts, and research dissemination products.
• Experience supporting public health, implementation science, operational research, or health systems research studies will be an added advantage.
• Demonstrated ability to manage large datasets while maintaining high standards of data quality and integrity.

6.0 Additional Notes

• Willingness to work in rural and resource-constrained settings.
• Ability to manage multiple analytical assignments simultaneously while meeting project deadlines.
• Commitment to evidence-based practice, health equity, social justice, and strengthening health systems.
• Strong interest in public health research, implementation science, and policy-relevant evidence generation.
• Opportunity to contribute to impactful research that informs healthcare delivery, policy development, and improved health outcomes in Malawi and beyond.

• Conduct statistical analysis of research, programmatic, and survey datasets in accordance with approved study protocols and analysis plans.
• Perform data cleaning, validation, management, and quality assurance to ensure accuracy, consistency, and completeness of datasets.
• Analyze retrospective and prospective datasets using appropriate statistical methods and analytical techniques.
• Generate descriptive, inferential, and advanced statistical analyses to address research questions and study objectives.
• Develop statistical models and conduct trend analyses, regression analyses, and other analytical approaches as required.
• Support database management and preparation of datasets for analysis and reporting.
• Interpret analytical findings and provide evidence-based recommendations to support program implementation and decision-making.
• Conduct thematic analysis of qualitative data obtained through interviews, focus group discussions, observations, and other research methodologies.
• Transcribe, review, code, organize, and analyze qualitative datasets using approved analytical frameworks.
• Utilize qualitative data analysis software such as NVivo, Dedoose, or similar platforms to facilitate systematic analysis.
• Identify emerging themes, patterns, barriers, facilitators, and key findings relevant to study objectives.
• Synthesize qualitative findings and integrate them with quantitative results to support mixed-methods research approaches.
• Ensure qualitative analysis maintains methodological rigor and accurately reflects participant experiences and perspectives.
• Collaborate with Principal Investigators, Research Officers, and study teams throughout the research lifecycle.
• Support the development and implementation of data analysis plans, research protocols, and study tools.
• Participate in study design discussions and contribute technical recommendations on data management and analytical approaches.
• Provide technical support during data collection, data verification, and data quality improvement activities.
• Ensure compliance with research ethics requirements, data protection standards, and organizational policies.
• Support preparation of datasets and documentation for external reviews, audits, and dissemination activities.
• Prepare comprehensive analytical reports, summaries, presentations, and dashboards based on study findings.
• Support the development of manuscripts, abstracts, conference presentations, policy briefs, and technical reports.
• Present findings to internal and external stakeholders in a clear and meaningful manner.
• Collaborate with research and program teams to translate data into actionable recommendations for policy and practice.
• Support organizational learning through dissemination of research findings and best practices.
• Maintain organized and secure analytical files, datasets, coding outputs, and study documentation.
• Work closely with multidisciplinary teams, including clinical, programmatic, monitoring and evaluation, and research staff.
• Collaborate with academic institutions, government stakeholders, implementation partners, and donors as required.
• Participate in research meetings, technical working groups, data review sessions, and dissemination events.
• Foster collaborative relationships that support evidence generation and utilization across PIH/APZU programs.
• Contribute to strengthening a culture of data use and evidence-based decision-making within the organization.
• Provide mentorship and technical support to research assistants, data collectors, and junior research staff on data analysis methodologies.
• Support training initiatives related to quantitative and qualitative research methods, data management, and analytical software.
• Stay informed about current developments in public health research, epidemiology, biostatistics, and qualitative methodologies.
• Participate in continuous professional development opportunities and contribute to strengthening analytical capacity within the Research Department.
• Perform any other duties assigned within the Research Department from time to time.

• Quantitative Analysis and Biostatistics
• Qualitative Research and Analysis
• Research Methodology
• Data Management and Quality Assurance
• Scientific Writing and Dissemination
• Analytical Thinking
• Attention to Detail
• Integrity and Confidentiality
• Collaboration and Teamwork
• Adaptability and Innovation
• Results-Oriented Approach
• Statistical Software Proficiency (SPSS, STATA, R, Python)
• Qualitative Analysis Software (NVivo, Dedoose, Atlas.ti)
• Data Visualization
• Database and Data Systems Knowledge (CommCare, ODK, REDCap, SurveyCTO, OpenMRS)
• Communication and Presentation Skills

• Bachelor’s Degree in Statistics, Public Health, Epidemiology, Computer Science, Social Sciences, Mathematics, Biostatistics, Data Science, or a related field.
• Minimum of two (2) years of experience in quantitative and/or qualitative data analysis, preferably in public health, research, development, or social science settings.
• Demonstrated experience conducting quantitative data analysis using SPSS, STATA, R, Python, or related software.
• Demonstrated experience conducting qualitative analysis using NVivo, Dedoose, Atlas.ti, or similar software packages.
• Strong understanding of statistical methods, research methodologies, and data management principles.
• Experience working with electronic data collection tools such as CommCare, REDCap, SurveyCTO, ODK, KoboToolbox, or related platforms.
• Proven ability to prepare technical reports, presentations, manuscripts, and research dissemination products.
• Experience supporting public health, implementation science, operational research, or health systems research studies will be an added advantage.
• Demonstrated ability to manage large datasets while maintaining high standards of data quality and integrity.