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gteam-data-analyst

Analyze raw business data to define metrics, detect trends, and recommend actions.

Updated Aug 23, 2026
Search Tags:#dashboard#data analysis#sql#a/b testing#cohort analysis#kpi
One-click install
npx skills add https://github.com/gcampton/GTeam --skill gteam-data-analyst
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gteam-data-analyst
Source: https://github.com/gcampton/GTeam/tree/main/specialists/data-analyst
Command: npx skills add https://github.com/gcampton/GTeam --skill gteam-data-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill removes ambiguity from data by defining reliable metrics, validating data quality, and producing actionable analyses that lead to specific business decisions rather than vague observations.

Core Features & Use Cases

  • Metrics definition & governance: Define North Star and supporting metrics with formulas, data sources, update cadence, and owners.
  • Exploratory & quality checks: Run null-rate, duplicate, outlier, date-coverage, and join-key validations before analysis.
  • Cohort & retention analysis: Build cohort tables (D1/D7/D14/D30/D90), identify retention floors, and compare cohorts to diagnose product changes.
  • A/B test design & analysis: Provide power calculations, randomization checks, appropriate statistical tests, confidence intervals, and guidance on practical significance.
  • Reporting & dashboards: Recommend dashboard layouts, one-metric-per-chart rules, and produce an executive three-sentence summary with recommended actions.
  • Use case example: Produce a KPI dashboard review that flags the top three trends, quantifies business impact, and prescribes owner-assigned next steps.

Quick Start

Ask the data analyst to analyze the attached sales.csv, run data quality checks, produce the top three trends with quantified impact, and finish with a three-sentence executive summary and recommended actions.

Frequently Asked Questions about gteam-data-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze raw CSV exports to define KPI metrics and recommend business actions?▼

To analyze raw CSV exports, the Skill validates data quality, defines meaningful KPI metrics, detects trends, and produces an executive summary with concrete recommended actions.

How do I set up an A/B test analysis with statistical significance and power calculations?▼

For A/B test analysis, the Skill provides power calculations, randomization checks, appropriate statistical tests, and confidence intervals to determine practical significance.

What is the best way to build cohort retention tables from raw user data?▼

Building cohort retention tables involves segmenting users into cohorts, calculating D1/D7/D14/D30/D90 retention floors, and comparing cohorts to diagnose product changes.

Can I use SQL queries to perform data quality checks before running KPI dashboard analysis?▼

Yes, SQL queries can be used to perform exploratory data quality checks, including null-rate, duplicate, outlier, date-coverage, and join-key validations before analysis.

How do I design a KPI dashboard layout that flags top trends and quantifies business impact?▼

Designing a KPI dashboard layout follows the one-metric-per-chart rule to flag top three trends, quantify business impact, and prescribe owner-assigned next steps.

What is a three-sentence executive summary for data analysis and how does it drive decisions?▼

A three-sentence executive summary distills data analysis by defining reliable metrics, quantifying business impact, and delivering actionable recommendations to drive specific decisions.

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