Data Analyst at The West African Centre for Public Health and Development (WACPHD)

Job Purpose / Job Objective

• The Data Analyst is responsible for supporting the organization's public health programs with data management, analysis, and reporting.
• They will ensure the quality and integrity of program data, generate insights and visualizations, and provide technical support to program teams.

Roles and Key Responsibilities

• Oversee all data collection, cleaning, and analysis processes for the organization's public health programs.
• Develop and implement comprehensive data analysis strategies and methodologies to support program objectives and decision-making.
• Ensure data quality, security, and integrity through the establishment of robust data governance frameworks.
• Collaborate closely with program teams to identify data needs, design appropriate data collection and analysis approaches, and translate findings into actionable recommendations.
• Communicate analysis findings and recommendations to diverse stakeholders (e.g., program managers, donors, government officials) in a clear, compelling, and actionable manner.
• Develop and maintain dashboards, visualizations, and other tools to effectively communicate data insights and support decision-making.
• Perform advanced data analysis, including statistical modeling, trend analysis, predictive modeling, and geospatial analysis.
• Develop and implement advanced statistical models, machine learning algorithms, and data mining techniques to extract meaningful insights from complex data sets.
• Integrate data from multiple sources to provide a comprehensive view of program performance and outcomes.
• Provide technical support for data-related issues and ensure proper documentation of data processes and methodologies.
• Continuously seek and implement ways to improve data collection, analysis, and reporting processes through innovative approaches and technologies.
• Ensure that all data collection and analysis activities comply with ethical standards and data privacy regulations.
• Contribute to the development of research protocols, grant proposals, and other technical documentation.

Qualifications and Experience
Essential Qualifications:

• Master's Degree or PhD in Statistics, Biostatistics, Data Science, or a related quantitative field
• 7 - 10 years of progressive experience in data analysis and modeling for public health or development programs
• Expertise in advanced statistical software (e.g. R, Python, STATA, SAS) and data visualization tools
• Proven track record of extracting actionable insights from complex data sets and communicating findings effectively to diverse stakeholders
• Strong leadership and mentorship skills, with the ability to build and manage high-performing data analysis teams
• Excellent problem-solving, critical thinking, and decision-making abilities
• Deep understanding of public health data ecosystems, data standards, and ethical considerations around data use
• Experience working in a multicultural, international environment is highly desirable.