An Alternative Data job involves collecting, analyzing, and interpreting non-traditional data sources—such as satellite imagery, web traffic, or transaction data—to generate insights for financial, investment, or business decisions. Professionals in this field work with data engineering, machine learning, and statistical analysis to derive actionable intelligence. These roles are common in hedge funds, private equity firms, and large corporations looking for a competitive edge through unconventional data sources. Skills required typically include programming (Python, SQL), data wrangling, and domain expertise in finance or technology.