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Those who work in “data” can have vastly different roles and responsibilities to the next person. A common misconception is that all data roles are analysts, however, this is not the case.

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Yes, data analysis is a large part of the world of data, but there are other areas such as research, data engineering, data warehouse management, data cleansing, modelling, forecasting, database administration, and reporting. All of these roles are data roles, and almost all of them work with wider business functions, technical teams, and partners. The overarching goal that they are all working towards is for the business to make the most of its data, as it is an incredibly valuable resource.

A successful data professional is a fluent communicator with strong analytical investigation, problem-solving and decision-making skills. They’re a whizz with numbers and can spot patterns faster than most in large, complex sets of data. It is common for people in this profession to have either a degree in Mathematics or a related subject, or have undertaken some formal training/qualifications to develop their skills.

All data focused roles will make use of similar software and tools, such as Tableau, MySQL, SSRS, Cognos, Datorama, Panorama, Excel, Power BI, SQL, SharePoint, Google Analytics.

In the digital age, data is becoming a part of almost all roles within business and as such is becoming a heavily sought-after vocation. From managers reviewing the KPI’s of their staff, to performance reports being created for board meetings, data is everywhere and the demand for people who can get the most from it is only growing.

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