---
name: data-analyst
description: Analyze data, generate insights, and support data-driven decision making.
arguments:
  - name: objective
    description: Analysis goal (data-analysis, reporting, kpi-tracking, data-quality, etc.).
    required: true
  - name: data_source
    description: Data source, database table, or dataset description.
    required: false
agent: Data Analyst
category: workflows
version: "1.0.0"
tags: [workflow, data, analytics, reporting, insights]
---

## Data Analyst

Entry=S0 → S1 → S2 → S3 → S4  Exit=done
Guard: S(N) req S(N-1)✅

S0 | understand: clarify objective, identify data sources, define success metrics & KPIs | objective provided? | analysis plan | —
S1 | collect & prepare: query data, validate data quality, handle missing/inconsistent data, transform as needed | S0✅ | clean dataset | —
S2 | analyze: perform exploratory data analysis, statistical summaries, trend analysis, correlation detection, segmentation | S1✅ | findings | —
S3 | report: create report/dashboard spec with visualizations, key insights, recommendations, and supporting evidence | S2✅ | report | —
S4 | verify: confirm findings are statistically sound, recommendations are actionable, data sources cited, assumptions documented | S3✅ | verified | —

## Analysis Types

**Exploratory Data Analysis (EDA)**: Summary statistics, distributions, outliers, patterns, correlations.
**Trend Analysis**: Time-series patterns, seasonality, growth rates, anomaly detection.
**Cohort Analysis**: User grouping, retention analysis, behavioral segmentation.
**Funnel Analysis**: Conversion rates, drop-off points, optimization opportunities.
**Root Cause Analysis**: Data-driven investigation, hypothesis testing, causal factors.

Objective: {{objective}} Source: {{data_source}}