Statistics Specialist at MININFRA: (Deadline 11 November 2021)
Job description
• 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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Bachelor’s Degree in Statistics
Experience: 3
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Master’s Degree in Statistics
Experience: 1
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Bachelor’s Degree in Applied Mathematics
Experience: 3
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Master in Applied Mathematics
Experience: 1
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Bachelor’s Degree in Data Science
Experience: 3
Competency and Key Technical Skills
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Integrity
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Strong critical thinking skills and excellent problem solving skills.
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Inclusiveness
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Accountability
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Communication
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Teamwork
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Client/citizen focus
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Professionalism
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Commitment to continuous learning
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Resource management skills
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Analytical skills
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Problem solving skills
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Decision making skills
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Time management skills
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Risk management skills
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Results oriented
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Digital literacy skills
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Fluency in Kinyaranda English and or French knowledge of Swahili is an added advantage
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Knowledge and experience in the use of statistical packages (SPSS, STATA, CSPro)
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Familiar with statistical software, possess good data entry and work processing skills
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Ability to present statistical results and conclusions effectively in appropriate tabular, graphic and written forms
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