Back to Job List

Senior Data Analyst

Erwebservice
Category:IT
Deadline:2026-12-11
Verified Opening

Senior Data Analyst

Date Posted

1 month ago

Expiration

1 month left

Location

Yaounde, Cameroon

Salary

N/A

Job Description

MAIN DUTIES AND RESPONSIBILITIES Data Management and Quality Assurance (30%) Develop, maintain, and improve project databases, datasets, data collection tools, and information management systems. Consolidate information from project teams, health facilities, government systems, implementing partners, and other relevant sources. Review data for accuracy, completeness, consistency, and timeliness; investigate discrepancies and coordinate corrective actions. Develop and implement data management procedures, validation checks, quality assurance protocols, and reporting guidance. Maintain organized, secure, and accessible datasets and documentation in accordance with MSH, donor, and applicable data protection requirements. Recommend practical improvements to data collection processes, database functionality, and information flows. Data Analysis, Visualization, and Reporting (30%) Analyze programs, health services, supply chains, and other relevant datasets to identify trends, gaps, risks, and implementation challenges. Develop and maintain dashboards, charts, maps, and other visualizations tailored to management and technical audiences. Prepare analytical summaries, presentations, and reports for project leadership, government counterparts, donors, and partners. Provide accurate and timely data inputs for routine reports, workplans, technical deliverables, and management requests. Interpret findings and propose practical recommendations to support program planning, implementation, and resource allocation. Conduct additional or specialized analyses in response to emerging project priorities and requests. Health Information Systems and Data Use (20%) Support the strengthening and effective use of national and project information systems, including DHIS2 or other relevant platforms. Collaborate with government counterparts and implementing partners to improve data availability, reporting processes, and information sharing. Identify system and reporting challenges and recommend practical solutions to improve data quality, accessibility, and use. Support development or refinement of reporting templates, dashboards, data collection tools, and analytical products. Present and explain analytical findings during planning meetings, technical discussions, and program review sessions. Work with project leadership and technical teams to ensure that data and analytical findings inform decisions and follow-up actions. Capacity Building and Technical Support (20%) Provide training, mentoring, and technical assistance to project staff, government counterparts, and implementing partners on data collection, management, analysis, visualization, and use. Develop practical guidance, job aids, training materials, and standard operating procedures to strengthen data management practices. Support data review meetings and provide constructive feedback on data quality, reporting, and information management. Assist regional and facility-level teams in resolving data management and reporting challenges, as needed. Document lessons learned and identify opportunities to strengthen local data analysis and information management capacity. Perform other duties consistent with the position as assigned by the supervisor.

Key Responsibilities

MAIN DUTIES AND RESPONSIBILITIES Data Management and Quality Assurance (30%) Develop, maintain, and improve project databases, datasets, data collection tools, and information management systems. Consolidate information from project teams, health facilities, government systems, implementing partners, and other relevant sources. Review data for accuracy, completeness, consistency, and timeliness; investigate discrepancies and coordinate corrective actions. Develop and implement data management procedures, validation checks, quality assurance protocols, and reporting guidance. Maintain organized, secure, and accessible datasets and documentation in accordance with MSH, donor, and applicable data protection requirements. Recommend practical improvements to data collection processes, database functionality, and information flows. Data Analysis, Visualization, and Reporting (30%) Analyze programs, health services, supply chains, and other relevant datasets to identify trends, gaps, risks, and implementation challenges. Develop and maintain dashboards, charts, maps, and other visualizations tailored to management and technical audiences. Prepare analytical summaries, presentations, and reports for project leadership, government counterparts, donors, and partners. Provide accurate and timely data inputs for routine reports, workplans, technical deliverables, and management requests. Interpret findings and propose practical recommendations to support program planning, implementation, and resource allocation. Conduct additional or specialized analyses in response to emerging project priorities and requests. Health Information Systems and Data Use (20%) Support the strengthening and effective use of national and project information systems, including DHIS2 or other relevant platforms. Collaborate with government counterparts and implementing partners to improve data availability, reporting processes, and information sharing. Identify system and reporting challenges and recommend practical solutions to improve data quality, accessibility, and use. Support development or refinement of reporting templates, dashboards, data collection tools, and analytical products. Present and explain analytical findings during planning meetings, technical discussions, and program review sessions. Work with project leadership and technical teams to ensure that data and analytical findings inform decisions and follow-up actions. Capacity Building and Technical Support (20%) Provide training, mentoring, and technical assistance to project staff, government counterparts, and implementing partners on data collection, management, analysis, visualization, and use. Develop practical guidance, job aids, training materials, and standard operating procedures to strengthen data management practices. Support data review meetings and provide constructive feedback on data quality, reporting, and information management. Assist regional and facility-level teams in resolving data management and reporting challenges, as needed. Document lessons learned and identify opportunities to strengthen local data analysis and information management capacity. Perform other duties consistent with the position as assigned by the supervisor. Link to apply: https://msh.wd503.myworkdayjobs.com/en-US/External/details/Senior-Data-Analyst_R5158

Skills & Experience

QUALIFICATIONS REQUIRED MINIMUM EDUCATION Required: Bachelor’s degree in statistics, data science, public health, epidemiology, health informatics, computer science, economics, or a related field. Preferred: Master’s degree in a relevant field. REQUIRED MINIMUM EXPERIENCE At least six years of relevant experience in data analysis, data management, health information systems, or related functions, preferably supporting donor-funded public health or international development programs. KNOWLEDGE AND SKILLS Strong knowledge of Supply Chain; data management, statistical analysis, data quality assurance, and health information systems. Proficiency in Microsoft Excel; visualization tools such as Power BI, Tableau, analytic tools like R, Python, Stata, or SPSS ; designing forms with kobo toolbox and database management system with SQL. Experience with DHIS2, QAT, health management information systems, logistics management information systems, or similar platforms is preferred. Ability to develop databases, dashboards, data visualizations, analytical summaries, and technical reports. Ability to identify data quality issues and recommend practical improvements to reporting processes and information systems. Experience training and supporting staff, government counterparts, and implementing partners. Strong understanding of data confidentiality, information security, and responsible data management practices. Excellent written and verbal communication skills in both English and French. COMPETENCIES Analytical thinking, sound judgment, and attention to data quality. Technical leadership, problem-solving, and clear communication. Collaboration, accountability, integrity, and confidentiality.

Application Interface

Closing Deadline: 2026-12-11