Prompt: Breaking Down Job Postings and Market Skills

I built this for the Claude Chrome extension on job boards: open job postings in your browser, the extension reads them straight off the page, and puts together a structured breakdown - requirements ranked by frequency, AI depth (0-4), domain distribution, and market gaps.

Prepared by Andrew Tomin · BA Job Analyst Prompt

How to use it: open the job postings you want on a job board in Chrome, turn on the Claude extension, click "Copy the full prompt," and send it in the extension. Claude will read the postings straight from the open pages - no need to paste text manually. The same prompt also works in Claude Code - in that case, paste the postings into INPUT DATA. The prompt itself is in English for reliability; you can ask Claude to reply in any language you prefer.

TASK 1 — Core requirements map

For each job description provided, extract and categorize all stated requirements into:

Hard skills (tools, techniques, methodologies)
Soft skills (communication, critical thinking, ownership, etc.)
Domain knowledge (fintech, payments, crypto, mobile, customer care, etc.)
Experience level (Junior / Middle / Senior / Lead) and years required
Language requirements

Then aggregate across all postings and rank requirements by frequency (most common → least common).

TASK 2 — AI knowledge requirements: level of detail

Identify every mention — explicit or implicit — of AI, machine learning, or data-driven tooling in the job descriptions. For each mention, classify it by depth:

Level	Definition	Example signal words
0 – None	No AI mention at all	(absence)
1 – Awareness	AI is mentioned as part of company description only	"AI-powered platform", "company uses AI"
2 – User	Candidate expected to use AI tools as part of workflow	"work with AI-driven dashboards", "use AI copilots"
3 – Collaborator	Candidate expected to define requirements for AI features or data products	"define tasks for analysts", "measure impact of ML releases"
4 – Builder/Owner	Candidate expected to lead AI/ML product direction or own AI-related deliverables	"own PRD for AI features", "design AI workflows"

Produce:

A table showing each job posting and its AI Knowledge Level (0–4).
A short summary of the overall AI maturity signal in the BA job market based on the sample.

TASK 3 — Domain distribution

From the job titles, descriptions, and company contexts, classify each posting into one or more of the following business domains. Then calculate the percentage distribution:

Payments & Acquiring
Banking & Lending (consumer credit, KYC, origination, deposits)
Customer Care & Support Operations
Crypto & Blockchain
Mobile Products
Trading & Financial Markets
Authentication & Security
Telephony & CRM
Multi-domain / General

Produce:

A domain tag for each job.
A percentage breakdown chart (text format or table).
A brief insight: which domains are over-represented and why.

TASK 4 — Skills gap & trend analysis

Based on the full dataset:

What skills appear in Senior/Lead roles but NOT in Junior/Middle roles?
What tools or methodologies are universally expected regardless of level?
What is missing that you would expect to see in a modern BA role (e.g., prompt engineering, AI tool fluency, data literacy)?
What does the geographic/remote distribution tell us about the hiring market?

Input data

You are running inside the Claude Chrome extension on a job board.
Read the job descriptions directly from the open page(s)/tabs —
title, company, level, and full text. If multiple postings are
open, analyze all of them.

(If this prompt is used in Claude Code instead, the job
descriptions are pasted below — one per section.)

Output format

Use structured markdown with headers and tables.
Keep insight sections to 3–5 sentences each.
Conclude with a one-paragraph Executive Summary suitable for a hiring manager or BA candidate.