I run several ongoing projects that need clear, accurate statistical insight. Each week I receive raw spreadsheets that must be cleaned, explored, and summarised, and I want a dependable partner to take that work off my hands. Here’s what the role looks like • You’ll stay within Excel for all core analysis—descriptive stats, pivot tables, regressions, charts, and any other built-in tools that help explain the story hidden in the numbers. • When a fresh dataset arrives, I’ll share it along with the specific questions I need answered. You return an updated workbook with formulas intact, a tidy “Results” tab, and a brief narrative of key findings. • Workload averages 5–10 hours a week, occasionally spiking when a new project launches. I give at least 24 hours’ notice and expect a 24–48-hour turnaround once you receive the data. • While Excel is mandatory for the final deliverable, you’re welcome to use R or Python behind the scenes so long as the finished file remains fully functional in Excel. Acceptance criteria 1. No broken links or external add-ins in the final workbook. 2. All calculations are traceable and reproducible inside Excel. 3. Summary write-up answers the questions originally supplied and highlights any anomalies or trends worth noting. If that fits your skill-set and schedule, I’m ready to start sharing the first dataset right away.