What skills does a Business Intelligence Developer need?
Each competency has five to ten behavioral assertions that can be observed,
each with a corresponding performance level (from one to five) that is required for a particular job.
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Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
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Computer Science: Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines.
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Data Visualization: Data visualization is viewed by many disciplines as a modern equivalent of visual communication. It involves the creation and study of the visual representation of data. To communicate information clearly and efficiently, data visualization uses statistical graphics, plots, information graphics and other tools. Numerical data may be encoded using dots, lines, or bars, to visually communicate a quantitative message. Effective visualization helps users analyze and reason about data and evidence. It makes complex data more accessible, understandable and usable. Users may have particular analytical tasks, such as making comparisons or understanding causality, and the design principle of the graphic (i.e., showing comparisons or showing causality) follows the task. Tables are generally used where users will look up a specific measurement, while charts of various types are used to show patterns or relationships in the data for one or more variables.
See More Skills
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Pay Equity
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Salary Benchmarking
