Careers in Consumer Analytics

Fashion and Data: The Next Big Thing

Data and tech innovations are transforming the fashion industry. Companies use data analytics to anticipate what consumers will want and need. 

Consumer analysts have specific knowledge, skills, and abilities that enable them to improve all aspects of a company's operations, including customer experiences, marketing, supply chain, and more.

Earning a master's degree in Consumer Analytics will enhance your resume and position you to take on a variety of roles that involve working with big data.

Explore Consumer Analytics

Consumer analysts use data to figure out what products people want, who will buy them, and at what price.

For example, they may gather data on consumer needs, demographics, preferences and buying habits through polls, questionnaires, and surveys. Analysts interpret what the data means using statistical software to forecast future trends, determine product demand, create sales plans, marketing initiatives, advertising campaigns, or product promotions. They turn complex data into written reports, visualize findings through charts, infographics and tables, and present outcomes to leaders.  

Similarly, operations analysts use data to identify and solve business problems.

For example, they may figure out more effective ways to ship and distribute products, develop production schedules, manage the supply chain, organize products, and set pricing models. Analysts use statistical analysis, simulations, and predictive modeling to analyze data and develop solutions to improve efficiency, operations, supply chains, pricing models, marketing, or other areas in the business. They advise decision makers on the effects of action to address a problem. They explain findings in written reports and make recommendations to leaders and executives.

Some industries you can work in with a degree in Consumer Analytics:

  • Fashion
  • Retail
  • Beauty
  • Finance
  • Marketing
  • Sports
  • Consumer Goods
  • Consulting
  • Media
  • Technology

Sample Job Titles:

  • Retail Analyst
  • Market Research Analyst
  • Consumer Business Data Analyst
  • Consumer Intelligence Analyst
  • Operations Analyst
  • Analytics Consultant
  • Fashion Analyst
  • Data Analytics Specialist
  • Data Scientist
  • Marketing Analyst
  • Consumer Insights Lead

 

  • Data Storytelling
  • Data Visualization (e.g. Tableau®, Microsoft Power BI®)
  • Statistical Programming (e.g. SQL, R or Python®)
  • Microsoft Excel (e.g. spreadsheets, pivot tables, conditional formatting)
  • Data Management
  • Creative and Critical Thinking
  • Communication
  • Decision Making
  • Presentation Skills

What is the difference between a Data Analyst and a Data Scientist?

Data analysts work with data to solve business problems.

Data scientists build algorithms and models to make predictions and make decisions about the future. 

Academics

Programs in Consumer Analytics

Master of Science in Consumer Analytics (MS)

Learn how to use data analysis to solve complex problems and improve organizational efficiency – from resource allocation all the way through the supply chain. Gain hands-on software skills and business and marketing knowledge that can be applied within and beyond the fashion industry.

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