Job responsibilities
• Collect and analyze infrastructure Sector statistical data with focus to key strategic Indicators; • Review and evaluate data and information sources to enable appropriate reporting and briefing to senior managers; • Participate in the development of Infrastructure Sector Management Information systems and regular updating; • Participate in surveys and impact evaluation studies together with the Monitoring and evaluation team; • Evaluate and recommend appropriate statistical methods and procedures used to obtain data in order to ensure validity, applicability, efficiency, and accuracy of infrastructure data; • Produce statistical bulletins and briefs and inform management on the trend of infrastructure investments in line with the 5-year targets; • Coordinate approval and publication of sector data and information to the Ministry website and other government data forums; • Provide infrastructure Sector Statistics for the statistical yearbook including preparation of Infrastructure Sector Annual statistical reports
Minimum qualifications
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1. Bachelor’s Degree in Statistics
3 Years of relevant experience
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2. Master’s Degree in Statistics
1 Years of relevant experience
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3. Bachelor’s Degree in Applied Mathematics
3 Years of relevant experience
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4. Master in Applied Mathematics
1 Years of relevant experience
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5. Bachelor’s Degree in Data Science
3 Years of relevant experience
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6. Master’s Degree in Data Sciences
1 Years of relevant experience
Required competencies and key technical skills
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1Integrity
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2Strong critical thinking skills and excellent problem solving skills.
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3Inclusiveness
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4Accountability
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5Communication
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6Teamwork
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7Client/citizen focus
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8Professionalism
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9Commitment to continuous learning
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10. Resource management skills
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11. Analytical skills
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12. roblem solving skills
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13Decision making skills
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14. Time management skills
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15. isk management skills
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16. Results oriented
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17 . Digital literacy skills
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18. Fluency in Kinyaranda English and or French knowledge of Swahili is an added advantage
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19. Knowledge and experience in the use of statistical packages (SPSS, STATA, CSPro)
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20. Familiar with statistical software, possess good data entry and work processing skills
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21.Ability to present statistical results and conclusions effectively in appropriate tabular, graphic and written forms
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