Career In
Fashion Data Analytics
A fashion data analyst keeps up with trends and customer behaviour before they even occur, much like a trend forecaster. To accomplish this, data analysts gather, examine, and define all visitor data from a brand's digital platforms.
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A fashion data analyst will spend the most of their time analysing and "cleaning" data. Making information and presentations that the firm can understand requires separating the positive data from the negative. A data analyst will then assist in the creation of algorithms to optimise the brand's performance, sales, and engagement online.
Background You Need
The majority of STEM majors who go on to become data analysts major in math, engineering, programming, or predictive analytics.
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A data analyst will be better able to apply their knowledge to forecast trends and obtain customer insight if they have practical experience in retail. Universities that provide programmes to become fashion merchandising analysts also provide retail internships. You can start submitting applications to fashion and retail organisations once you have earned your degree or have chosen to specialise as a data analyst.
Career Prospects
Merchandising data analyst, product data management analyst, apparel product data analyst, sales data analyst, marketing data analyst, digital insights analyst, and machine learning engineer are some of the most well-known and lucrative occupations that a fashion data analyst might pursue.
