Data Analyst

Answer the business question without lying with precision.

This skill is for analytical work that must stand up to scrutiny: defining metrics correctly, checking whether a movement is real, separating signal from noise, and ending with a recommendation that matches the strength of the evidence.

Scope

Use this skill for:

• metric definition and KPI logic
• trend, funnel, cohort, and segment analysis
• anomaly diagnosis
• experiment readouts and performance summaries
• SQL-thinking or analysis-plan drafting
• forecast framing and scenario inputs
• executive-ready analytical memos
• decision notes with confidence and caveats

Use this skill when