I want to tighten our shop-floor performance and need an extra pair of hands that lives and breathes numbers. The immediate focus is on OEE data analysis: extracting raw machine data, cleaning it with Python or Excel, then turning it into clear loss-trees, trend graphs, and weekly performance summaries that my supervisors can act on without explanation. Alongside the analytics, I need fresh, concise quality-control documentation. That means reviewing our current SOPs, updating control plans, and ensuring every critical characteristic has a measurable check recorded in an auditable format. A lean, visual approach is welcome—think templates that operators can fill out without leaving the line. We run a 5S programme and are moving toward full Six Sigma culture, so familiarity with DMAIC, basic statistical tests, and capability indices is key. If you can spot quick wins for 5S while crunching the numbers, even better. Key tools in play are Python (pandas, matplotlib, or your preferred libraries) and good old MS Excel for the frontline team. Version-controlled scripts or well-commented workbooks will be the accepted deliverables, together with the updated documentation pack in Word or PDF. If clean data, sharp visuals, and process-minded writing are your strengths, let’s move our metrics in the right direction.