While SQL is often the preferred software for data analysts, knowledge and understanding of traditional, widespread spreadsheet tools is necessary. Some companies may prefer reports or data sets presented through traditional spreadsheet tools.
3. Critical thinking
Companies often task data analysts with both collecting data and interpreting the data for a specific purpose. Knowing what data to collect and how to process it to glean the appropriate information is a critical thinking skill that’s vital for data analysts to develop. 4. Statistical programming languages
Some data analysts choose to use statistical programming languages like R or Python to analyze large data sets. Data analysts should be familiar with a variety of data analysis programs to prepare them for the tools their company has available.
5. Data visualization
After gathering, analyzing and compiling the data, usually data analysts must share their findings with the company. Creating an easy-to-understand data analysis visualization is vital. Often, data analysts choose to use visuals like graphs or charts to help their colleagues understand what the data says quickly and clearly.
6. Public speaking
Presenting data analysis is an important part of a data analyst’s job. Besides compiling the findings in a clear manner, data analysts must also explain both verbally and in writing why the data is important and what the company should do because of the findings.
Some companies that use highly technical machines to complete tasks require their data analysts have knowledge of how machine learning works. Artificial intelligence is growing as technology advances, so it’s wise for data analysts to develop this skill.
Data warehousing is the process of creating virtual storage and organization systems for a company’s data. Often, they are managed by data analysts whose main job is to monitor the data and maintain appropriate safeguards and access.
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