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Official pay data from the U.S. Bureau of Labor Statistics
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A sample report for a made-up job posting.
Senior Data Analyst at a Series B fintech · $118,000 · hybrid
You meet 5 of the 6 hard requirements and the pay is at market. The posting hints at long hours ("fast-paced, wear many hats"), which clashes with your work-life balance priority, so ask about hours early.
Market range: $63,000 – $194,000 (median $112,000)
This posting: 55th percentile (at market)
Source: Bureau of Labor Statistics wage data (figures illustrative)
• "Wear many hats" and "fast-paced" with no hours listed
• On-call rotation mentioned but not explained
• Your fraud-dashboard project: they list fraud analytics as a must-have
• Your SQL and Python certifications, by name
Screenshot it or paste it. LinkedIn, Indeed, anywhere.
Pay vs. market, red flags and must-haves in seconds.
Add your resume once. Every job gets APPLY, STRETCH or SKIP.
Is the pay fair? Checked against government wage data for that job and city.
Do you meet the must-haves? Missing degrees, licenses or years, flagged.
Does it fit your life? Hours, remote, growth and stability, the way you rank them.
You can. Here's what you'd be doing by hand.
| ScreenJob | ChatGPT | |
|---|---|---|
| Pay checked against official data for that job and city | ✅ | ❌ Guesses |
| Same red-flag checklist and A–F grade every time | ✅ | ❌ Depends on your prompt |
| Nothing to type: just a screenshot | ✅ | ❌ Write a prompt each time |
| Resume saved, one tap per job | ✅ | ❌ Paste it every time |
| Every job ranked on one board | ✅ | ❌ |
| Free to start | ✅ | ✅ |
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