Statistician at NYANZA DISTRICT: (Deadline 26 February 2022)
Job description
– Initiate and operationalize a quality system of aggregated and disaggregated quantitative data consolidation at the District level and ensure its regular update;
– Participate in the design, roll out of surveys and/or census deemed necessary by the District;
– Consolidate quantitative data on all activities performed by the District where applicable, and disseminate necessary sector-related statistics;
– Timely avail data to support planning and decision-making processes at the District level and/or national level where applicable for purposes of evidence-based policy/decision making or public reference;
– Check the compliance of the findings from quantitative or mixed studies/researches conducted in the District with standards set by the National Institute of Statistics of Rwanda;
– Liaise with NISR to streamline the statistics produced by the District;
– Work hand in hand with the District Planning, Monitoring and Evaluation Officer in the elaboration and/or review of quantitative indicators related to sector/activity performance.
Minimum Qualifications
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Bachelor’s Degree in Economics
Experience: 0
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Bachelor’s Degree in Statistics
Experience: 0
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Bachelor’s Degree in Econometrics
Experience: 0
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Bachelor’s Degree in Applied Mathematics
Experience: 0
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Bachelor’s Degree in Demography
Experience: 0
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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Knowledge of various statistical software packages
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Knowledge of the theory, systems and application of statistical research methodology
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Communication skills
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Time management skills
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Knowledge of Rwanda’s Trade and Industrial Policies and Strategies
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Knowledge to Prepares and publishes statistical and technical reports and research papers,
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Computer Skills
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Organizational Skills
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High analytical Skills
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Team working Skills
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Deep understanding of Research Methodologies and Statistics Concepts
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Fluent in Kinyarwanda, English and/or French. Knowledge of all is an advantage
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