skills.rest
delta-and-beta
delta-and-betaCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

analyst-queries

Generate parameterized SQL queries for Braze Snowflake data analysis.

Updated Apr 6, 2026
Search Tags:#sql#variables#ai-assisted#segments#query-builder#analyst#braze
One-click install
npx skills add https://github.com/delta-and-beta/braze-agency --skill analyst-queries
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyst-queries
Source: https://github.com/delta-and-beta/braze-agency/tree/main/skills/analyst-queries
Command: npx skills add https://github.com/delta-and-beta/braze-agency --skill analyst-queries

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill automates the creation of parameterized Braze analytics queries, reducing manual SQL effort and empowering analysts with AI-assisted generation to quickly derive actionable insights from Braze data.

Core Features & Use Cases

  • Parameterize queries with Liquid-style SQL variables to produce reusable reports across campaigns and time ranges
  • Generate AI-assisted SQL queries and segment extensions to accelerate analytic workflows
  • Build and reuse query templates that align with Braze's data structures for analysts and data scientists

Quick Start

Describe your data needs and Braze AI will generate a reusable SQL query against the Braze dataset.

Frequently Asked Questions about analyst-queries

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

FAQPage Schema
How do I generate AI-assisted SQL queries for Braze Snowflake data?▼

To generate AI-assisted SQL queries for Braze Snowflake data, describe your data needs and the tool composes parameterized queries aligned with the Braze data model for segment analysis and campaign performance.

Can I use Liquid-style variables in Braze SQL query templates?▼

Yes, you can use Liquid-style SQL variables to parameterize queries, enabling you to build and reuse query templates across different campaigns and time ranges within your Braze analytics workflow.

What is the best way to explore segment extensions and event data in Braze?▼

The best way to explore Braze segments and events is using a query-builder workflow that validates SQL against the Braze data model, extracting actionable insights through AI-assisted generation.

Do I need to know the Braze data model to create Snowflake analytics queries?▼

You do not need deep knowledge of the Braze data model to create Snowflake analytics queries, as the AI-assisted tool validates and aligns generated SQL with Braze data structures automatically.

How do I build reusable SQL reports for Braze campaign performance?▼

You build reusable SQL reports for Braze campaign performance by applying parameterized query templates with Liquid-style variables, ensuring validation and reuse across varying time ranges and segments.

Related Skills

Explore More Data & Analytics Skills→
delta-and-betadelta-and-beta

architect-data-warehousing

Design Snowflake schemas and ETL pipelines for Braze Secure Data Sharing.

Community
Advanced
theandyalvarez7-rubytheandyalvarez7-ruby

social-media-analyzer

Compute engagement rates, ROI, and benchmark comparisons from social media campaign datasets.

Community
Advanced
delta-and-betadelta-and-beta

analyst-segments

Analyze and define Braze audience segments with filter logic and sizing.

Community
Advanced
Mohamed-ElkahefMohamed-Elkahef

dashboard-creation

Build interactive analytics dashboards with Chart.js for business metrics and KPIs.

Community
Advanced