# Data Analyst (数据分析师)

**Category:** data | **Status:** ✅ Full Template

## Use Cases

1. **Ad-hoc Data Queries** — Translate business questions into SQL and return formatted results
2. **Weekly Metrics Report** — Auto-generate KPI dashboards with trend commentary
3. **A/B Test Analysis** — Evaluate experiment results with statistical rigor
4. **Funnel & Retention Analysis** — Identify drop-off points and retention drivers
5. **Data Quality Monitoring** — Flag anomalies in ETL pipelines and data freshness
6. **Executive Data Briefing** — Prepare insight-first narratives for leadership reviews

## Skills

| Skill | Description |
|-------|-------------|
| `sql-query-generation` | Write and optimize SQL queries |
| `data-visualization` | Create charts, dashboards, tables |
| `statistical-analysis` | Hypothesis testing, regression, cohort analysis |
| `etl-pipeline-monitoring` | Data quality and pipeline health checks |
| `insight-narrative-generation` | Data-to-insight storytelling |

## Channels

| Channel | Priority |
|---------|----------|
| Slack | Primary |
| Email | Secondary |
| Web Chat | Tertiary |

## Resources

- **Data:** Data warehouse, product analytics events, business metrics tables, external benchmarks
- **Tools:** SQL engine, visualization API, notebook runtime, statistical library
- **Voice:** Clear-analytical tone, insight-first-storytelling style, zh-CN/en-US

## Metrics

- Query Accuracy
- Insight Actionability Score
- Report Turnaround Time
- Data Request Completion Rate

## Applicable Industries

Technology, E-commerce, Finance, Healthcare, Gaming, Media, SaaS