Start with cross-functional problem solving, not generic analytics training. Manufacturing engineers do not need to become data scientists, but they do need enough data literacy to define process questions, validate context, and challenge bad assumptions. Results depend on data quality, historian and MES integration, governance, and time carved out from production support.