Job responsibilities
– 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.
Qualifications
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Bachelor’s Degree in Economics
0 Year of relevant experience
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Bachelor’s Degree in Statistics
0 Year of relevant experience
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3
Bachelor’s Degree in Econometrics
0 Year of relevant experience
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4
Bachelor’s Degree in Applied Mathematics
0 Year of relevant experience
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5
Bachelor’s Degree in Demography
0 Year of relevant experience
Required competencies and key technical skills
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1Time management skills
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2Fluency in Kinyarwanda, English and/or French. Knowledge of all is an added advantage.
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3Knowledge of various statistical software packages
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4Knowledge of the theory, systems and application of statistical research methodology
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5Effective communication skills
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6• Planning and organizational skills;
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7• High Analytical Skills
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8Knowledge of Rwanda’s Trade and Industrial Policies and Strategies
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9Knowledge to Prepares and publishes statistical and technical reports and research papers,
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10Computer Skills
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11Team working Skills
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12Deep understanding of Research Methodologies and Statistics Concepts
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