Our production lines, supplier network, and sales channels generate mountains of raw information every day, and I need a sharp mind to turn that data into clear answers about what our customers want—fast. Your first task will be to pull together disparate datasets from our ERP, MES, supplier portals, and third-party market feeds, clean them for consistency, then dig deep for patterns that explain purchasing behavior and emerging demand for specific EV components and lighting products. I’m most interested in insights that help us anticipate customer demand so we can adjust production plans, inventory levels, and procurement schedules in real time. Expect to work heavily in Excel and Power BI; if you prefer Python, R, or SQL for preprocessing and modeling, that’s fine as long as the final visuals and dashboards live where my team can access them easily. Because the business is scaling quickly, time is critical—I’m looking to see tangible progress as soon as you come on board, with initial findings and draft dashboards delivered ASAP. Deliverables (all must be share-ready and well-documented): • Cleaned, consolidated dataset with reproducible preparation steps • Interactive Power BI (or Excel) dashboard highlighting demand drivers and forecast scenarios • Brief slide deck or report summarizing key insights and recommended actions I’ll be available to provide database credentials, sample BOMs, and historical sales files immediately after kickoff. If you thrive on turning messy manufacturing data into crystal-clear guidance, let’s get started.