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

The West African Centre for Public Health and Development (WACPHD)Abuja, Nigeria Data and Artificial Intelligence
Full Time
The West African Centre for Public Health and Development (WACPHD) is a non-governmental organization working on Improving health equity through sustained research, program delivery, technical assistance, and education and is providing technical support for the ACE project. To effectively reduce HIV, including HIV/TB co-infection, as well as institutionalize health system reforms, the United States Government (USG), through the US President's Emergency Plan for AIDS Relief (PEPFAR), supports the Government of Nigeria (GON) to implement interventions, across the HIV/AIDS care continuum and strengthen the health system to deliver high-quality services. As part of the effort in this regard, the USAID/Nigeria office recently engaged a consortium to implement the Achieving HIV Epidemic Control in the several State of Nigeria. WACPHD, as part of the Consortium, will be implementing the Operations/ Implementation Research component of the ACE grant in lot 6-comprising Lagos, Edo and Bayelsa.

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.

Method of Application

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