Details.
Fashion data analysts blend statistical fluency with an eye for trends and aesthetics. Core competencies include SQL and Python, data visualization with Tableau or PowerBI, statistical modeling, fashion trend literacy, and communication skills. They clean point-of-sale and e-commerce data, build dashboards for buyers and planners, guide fabric buys and launch quantities, interpret seasonal color stories and consumer sentiment, and translate complex insights into action for designers and merchandisers. Typical mid-level salary ranges listed are $90k to $120k in New York City, $85k to $110k in Los Angeles, $80k to $100k in Miami, and $75k to $95k in Dallas.