Data Scientist |
You will find that most people working in data are referred to as a Data Scientist, mainly because it is such a broad remit. We’ve even seen terms such as “Citizen Data Scientist” become popularised which simply means people who aren’t trained or qualified in the field but have taught themselves many of the applications.
A true Data Scientist is someone who can master several skills right through from working with raw data, using statistical techniques via data programming tools like Python or R and is able to present all those insights in a simple way to a wider business. The main functions tend to be machine learning, Big Data technology, predictive statistics, recommender systems and distributed computing (computers on numerous networks or disparate data). Big companies like Google and Facebook are famed for hiring many Data Scientists for their mass of complex algorithms that feed their businesses.
A Data Analyst will take the work done by the Data Scientist and perform deeper analytics with it using platforms like R, Python, SQL, VBA (Excel). The focus of a Data Analyst is to work out why a number has happened rather than traditional roles which might have simply presented the results as management information. For example, if a retail business sells 10 products on a Monday and the previous Monday, they sold 20, a Data Analyst will work to find the root cause of the difference between the two days and feed that back in to the relevant teams.
Often, a Data Analyst will display their findings within reporting tools such as Qlik, Tableau or Sisense to name a few.
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