Data Analyst at West African Center for Public Health and Development


The West African Center for Public Health and Development (WACPHD), an affiliate of the University of Manitoba, is a non-governmental organization dedicated to improving health equity through research, program delivery, technical assistance, and education.

We are recruiting to fill the position below:

 

Job Title: Data Analyst

Location: Abuja (FCT)

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.
  • 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.
  • 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.

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
  • 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.
  • 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

 

How to Apply
Interested and qualified candidates should:
Click here to apply

Application Deadline  19th August, 2024.

Note

  • Interested applicants should apply by filling out the online recruitment form above, submit a one-page application letter along with their  CV and references
  • WACPHD considers equality for all to be a fundamental human right. We actively promote diversity and inclusion, while condemning all types of unlawful and unjust discrimination based on age, disability, gender reassignment, marriage and civil partnership, pregnancy and motherhood, race, religion or belief, sex, and sexual orientation.
  • Only shortlisted candidates will be contacted for an interview.
  • Individuals blacklisted from implementing donor-funded grants are not eligible to apply for this position