Data Analytics Expert Pro

Analyze historical data with SQL and Python to identify trends and root causes.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/euwebertdefreitas/Parametrus-AI-Skills --skill data-analytics-expert-pro
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Data Analytics Expert Pro
Source: https://github.com/euwebertdefreitas/Parametrus-AI-Skills/tree/main/.agent/skills/data_analytics_expert_pro
Command: npx skills add https://github.com/euwebertdefreitas/Parametrus-AI-Skills --skill data-analytics-expert-pro

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill tackles the challenge of transforming raw data into actionable business intelligence, enabling users to understand past performance and identify future opportunities.

Core Features & Use Cases

  • Advanced SQL Querying: Write complex SQL queries for data manipulation and analysis.
  • Dashboard Creation: Design and build interactive dashboards using popular BI tools.
  • Business Strategy & Metrics: Define Key Performance Indicators (KPIs), analyze funnels, and calculate retention metrics.
  • Data Storytelling: Translate data findings into clear, concise insights and recommendations.
  • Use Case: Analyze sales data to identify top-performing regions and recommend strategies for underperforming ones.

Quick Start

Use the Data Analytics Expert Pro skill to write a SQL query that calculates the monthly active users for the last quarter.

Frequently Asked Questions about Data Analytics Expert Pro

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

FAQPage Schema
How do I write a SQL query to calculate monthly active users for the last quarter?

To calculate monthly active users with SQL, you write a query grouping user activity logs by month and counting distinct users within the last quarter. This Skill provides advanced SQL querying expertise to manipulate data and generate these descriptive analytics metrics efficiently.

What is data storytelling and how does it apply to business intelligence?

Data storytelling in business intelligence translates raw data findings into clear, concise insights and recommendations. It bridges descriptive analytics and business strategy by explaining historical performance trends and root causes to stakeholders.

Can I use Python Pandas and DAX to define KPIs for a PowerBI dashboard?

Yes, you can use Python Pandas and DAX alongside Power Query to define KPIs for a PowerBI dashboard. This Skill supports designing interactive dashboards and calculating key business metrics using these specific tools.

How do I identify root causes of performance changes in my sales data?

To identify root causes of performance changes in sales data, you perform diagnostic analytics on historical trends to isolate variables impacting performance. This Skill helps analyze regional sales data to pinpoint top-performing areas and recommend strategies for underperforming ones.

Does Tableau work with this approach for calculating retention metrics and funnels?

Tableau works with this approach as a BI tool to visualize retention metrics and funnels. This Skill enables dashboard creation in Tableau to analyze historical data, understand trends, and define key business metrics visually.