Data Analysis

Overview

A comprehensive data analysis and storytelling skill optimized for financial, SaaS, and RevOps contexts. This skill provides structured workflows for turning raw data into actionable insights with full transparency on analytical decisions, bias awareness, and progressive disclosure reporting.

Workflow Overview

Every analysis follows a 7-phase process:

1. SETUP    → Initialize Marimo notebook (run init_marimo_notebook.py)
2. INGEST   → Load data, document sources and assumptions
3. EXPLORE  → EDA with logged decisions (why this viz, why this filter)
4. MODEL    → If needed, with interpretable-first approach
5. INTERPRET → Apply bias checklist, hedge appropriately
6. WISHLIST → Document data gaps and proxies used
7. OUTPUT   → Generate appropriate tier (slides/report/notebook)