What does a fashion data analyst do?
The fashion world has changed dramatically over the past decade, paving the way for new fashion jobs. FashionUnited takes a closer look at the role of a fashion data analyst. The responsibility of a data analyst working in fashion is to use all the digital information collected to help retail and fashion businesses become more profitable by predicting trends and consumer behavior. This role could be perfect for someone who wants to dive into the IT field, but doesn’t have to give up their love for fashion. On FashionUnited, top brands like Nike, Pandora, Under Armor, and Sweaty Betty are looking for talented Data Analysts to join their growing teams.
The role of a data analyst in fashion and retail
Similar to a trend forecaster, a fashion data analyst stays on top of trends and consumer behavior before they even happen.To do this, data analysts collect, analyze and define all of the visitor data of the brands digital channels. In recent years, social media has disrupted the fashion industry as consumers and brands love, tweet and edit endless fashion ideas in real time. From who wears what to the specific textile or product source, all data is carefully analyzed. In the video “How data analytics and BI are making waves in the retail industry,” Jedidiah Francis, owner of Jed.ai and former head of data science at Asos, says in the landscape Today’s volatile retail and fashion business, a successful business should strive to strike a balance between data-driven decisions and human intelligence.
Most of a fashion data analyst’s time will be spent analyzing and “cleaning the data.” It means separating the positive data from the negative into information and presentations that the business can understand. Then, using math skills and formulas, a data analyst will help create algorithms to optimize performance, sales, and brand engagement online. More importantly, the data analyst will continue to monitor the algorithm to ensure that it increases the overall performance and efficiency of the business.
Here are some key tasks and skills required from the Fashion Data Analyst vacancies on FashionUnited:
- Translate complex information about data into clear stories and understandable presentations.
- Perform cutting-edge marketing analytics projects in areas such as segmentation and personalization, report automation, and data integration.
- Drive automation for all KPI measures as well as define and create an executive consumable KPI dashboard.
- Drive the implementation and use of data-driven decision-making processes.
- Experience with Agile and LEAN methodologies an asset. Ability to code in Python.
- Help the brand evolve by designing, building, testing and maintaining tools and services that help internal customers easily provision and use cloud-based data environments.
- Provide solutions through forward-looking insights into engineering metrics.
- A solution-oriented attitude focused on continuous improvement.
What to study
Data analysts are typically STEM majors and pursue a more advanced degree in math, engineering, programming, or predictive analytics. At the Fashion Institute of Technology in New York City, a certificate program in data analysis is available as part of a degree with a major in fashion. In this program, FIT offers courses such as web analytics and e-commerce tracking. Combining these studies with fashion merchandising or art history can help you become a successful candidate for a career as a fashion data analyst.
How to become a fashion data analyst
Working in retail while studying is also a valuable experience, as you’ll learn the ins and outs of how a brick and mortar store operates, what sells in the shop floor, and the importance of customer service. Hands-on retail experience will help a data analyst better use their knowledge to predict trends and gain insight into consumers. There are also universities that offer retail internships as part of a Fashion Merchandising Analyst program. After graduating or specializing as a data analyst, you can start applying for fashion and retail companies.
According to international recruiting firm Michael Page, in 2017 Asos overtook Marks and Spencer to become the UK’s most valuable retailer. This proves that data-driven information and technologies are now necessary for brands to be competitive and therefore the job of data analyst is a position in the fashion industry that will only increase demand. From Consumer Data Analyst to Human Resources Data Analyst, there is more than one area of interest for this role in fashion and retail. Find out which department you would be interested in working as a data analyst in and also be sure to research the culture of the company when applying for jobs.
Apply for Fashion Data Analyst jobs on FashionUnited:
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