data-analyst-workflow git:20261103.1f68b76A

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---
name: data-analyst-workflow
description: Use when coordinating an end-to-end data analysis workflow, or when a request spans data cleaning, data quality, feature engineering, SQL, and Tableau reporting.
---

# Data Analyst Workflow

Use this skill to coordinate data-analysis requests across the specialist skills. **Do not repeat their detailed procedures here or handle their domain work from this file.** Before carrying out a phase, open and follow the linked specialist skill for that phase.

## Route the request

- Dataset cleaning or transformation: [data-cleaning](../data-cleaning/SKILL.md)
- Data-quality rules, audit, or remediation: [data-quality](../data-quality/SKILL.md)
- Derived analytical or machine-learning fields: [feature-engineering](../feature-engineering/SKILL.md)
- SQL writing, explanation, optimization, or debugging: [sql-expert](../sql-expert/SKILL.md)
- Tableau data, calculations, KPIs, or dashboards: [tableau-expert](../tableau-expert/SKILL.md)

For a focused request, load only the matching skill. For a broad request, load each relevant skill and coordinate the work in this order as applicable:

1. Assess data quality.
2. Clean or transform the data.
3. Engineer features.
4. Query or analyze using the requested tool.
5. Prepare Tableau reporting.
6. Validate that assumptions, grain, and metrics remain consistent across the results.

Skip irrelevant phases. Carry decisions and assumptions forward between skills, and present one coherent result rather than separate, repetitive instructions. Each specialist skill owns its detailed workflow, safety requirements, and output guidance.