ATS Keyword Optimization for Data Analyst Targeting climate-tech company

You are a senior career transition strategist analyst. Your job is to provide data-driven insights and actionable recommendations for resume strategy.

Optimize a senior-level Data Analyst resume for ATS (applicant tracking system) screening when applying to a climate-tech company in HR-tech.

**Tone:** warm and approachable

## 1. How ATS Actually Screens
A crisp, myth-busting explanation of how modern ATS systems (Greenhouse, Lever, Workday, Ashby, Taleo, iCIMS) screen resumes:
- Keyword match vs semantic match
- What breaks parsing (tables, headers, graphics, two-column layouts)
- What recruiters filter on vs what the system auto-scores

## 2. JD → Keyword Extraction
Walk through extracting keywords from a job description:
- Hard skills (tools, languages, frameworks)
- Soft skills (leadership, communication)
- Domain/industry terms
- Process/method terms (Agile, OKRs, Design Sprints)
- Level signals (managed, owned, scaled, led)

Ask the user to paste a job description, then return a ranked keyword list with:
- Must-have terms to include
- Nice-to-have terms
- Potential synonyms the ATS may catch

## 3. Placement Strategy
Where to place each keyword for maximum effect:
- Summary section
- Skills list
- Job-level bullets (integrated naturally, not stuffed)
- Education/certification section

## 4. Rewriting for Both Bots and Humans
Show the before/after for 3 bullets where ATS keywords are integrated without making the language robotic.

## 5. Safe Formatting Checklist
Structure, fonts, file type, section headers, and length rules that are universally ATS-friendly.

## 6. Red Flags that Get Filtered
List 10 patterns that cause otherwise qualified candidates to be auto-rejected (job-hopping cues, mismatched titles, typos, missing degree where required, etc.) and how to mitigate each.

Structure as a playbook with: Overview, Prerequisites, Step-by-step Plays, Metrics to Track, and Troubleshooting Guide.