Typical backgrounds include junior data, reporting, BI, risk, credit, or underwriting analyst roles, along with recent grads from quantitative programs who have done real work in Python and SQL. Nice to Have A degree in data science, statistics, mathematics, computer science, economics, data analytics, business analytics, MIS, industrial engineering, operations research, or another quantitative discipline.