Live workshop · Small group · Online

The New Analyst Stack

Analysts who stay relevant in the AI era aren't the ones prompting harder. They're the ones who've stopped doing the manual work between request and insight — and built a system to do it for them, freeing up time for the thinking that actually moves decisions.

This workshop is how you make that shift.

What you'll build

01 Build an AI orchestration layer that automates the steps between receiving a request and delivering insight — no more manual handoffs
02 Build a knowledge wiki that acts as your AI's brain — so it knows your data, your metrics, and your context without you explaining it every time
03 Build a multi-agent analytics system where specialized agents handle different parts of your workflow autonomously
04 Implement it practically using VSCode and GitHub Copilot — no heavy engineering required

This is for you if

You work with data regularly and know your way around SQL and basic Python. You already use AI tools like ChatGPT or Copilot, but you're still the one manually connecting every step. You want to build a system around your tools — not just use them one prompt at a time.

Workshop details

Format

Live, online · No recordings

Duration

8 hours · 3 sessions

Group

6–8 people · English

Walk away with a working agentic analytics workflow — built by you, ready to use.

Your instructor

Trang N.T

Data analyst · Retail & e-commerce · IKEA

View LinkedIn profile →

Trang has 6+ years of experience in data and product analytics across retail and e-commerce, currently at IKEA. She has built and run agentic analytics workflows in a real production environment — adopted across multiple teams and presented at a global data and analytics all-hands. This workshop is grounded in that hands-on experience, not just theory.

Prompt engineering GitHub Copilot Agent orchestration Agentic systems Analytics workflows SQL Python

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