Company Overview

The University of Nairobi, a body corporate established under the Universities Act 2012 of the laws of Kenya and the University of Nairobi Charter, is the pioneer institution of University education in Kenya and the region. The only institution of higher learning in Kenya for a long time, the University of Nairobi responded to the national, regional and Afr...

Job Specification

Bachelor’s degree in any of the following fields; Statistics, Data Science, Computer Science, Economics, Mathematics or a related quantitative field.

Master’s degree in any of the following fields; Statistical Science, Data Science, Statistics, or a related quantitative field

At least 3 years of progressive experience in data analysis, data quality review, and data visualization.

Experience collaborating with multidisciplinary teams.

Demonstrated experience working with complex health datasets, with a strong focus on data cleaning, validation, and quality control.

Proficiency in statistical analysis, data mining, and exploratory data analysis techniques.

Strong skills in developing and maintaining dashboards and reports (please provide links to examples or portfolios).

Excellent computer skills and proficiency in statistical and programming software such as R, Python, SQL, or similar.

Strong communication skills (both written and verbal) and interpersonal skills.

Ability to manage multiple tasks and meet deadlines in a collaborative work environment.

• Data analysis
• Data quality review
• Data visualization
• Statistical analysis
• Data mining
• Exploratory data analysis
• Developing and maintaining dashboards and reports
• R
• Python
• SQL
• Communication skills (written and verbal)
• Interpersonal skills
• Task management
• Meeting deadlines
• Collaboration

• Bachelor’s degree in Statistics, Data Science, Computer Science, Economics, Mathematics or a related quantitative field.
• Master’s degree in Statistical Science, Data Science, Statistics, or a related quantitative field.
• At least 3 years of progressive experience in data analysis, data quality review, and data visualization.
• Experience collaborating with multidisciplinary teams.
• Demonstrated experience working with complex health datasets, with a strong focus on data cleaning, validation, and quality control.
• Proficiency in statistical analysis, data mining, and exploratory data analysis techniques.
• Strong skills in developing and maintaining dashboards and reports (please provide links to examples or portfolios).
• Excellent computer skills and proficiency in statistical and programming software such as R, Python, SQL, or similar.
• Strong communication skills (both written and verbal) and interpersonal skills.
• Ability to manage multiple tasks and meet deadlines in a collaborative work environment.