Avoid Costly Resume Mistakes as an Operations Analyst
Learn the exact fixes that get your resume past ATS and into hiring managers' hands.
Common Mistakes That Kill Your Chances
Each mistake includes why it hurts, how to fix it, and before/after examples
- Provides no value to recruiter
- Consumes prime resume space
- Often filtered out by ATS keywords
- Replace with a concise professional summary
- Highlight 3‑4 quantifiable achievements
- Incorporate key operations analytics terms
Objective: Seeking a challenging role where I can utilize my skills.
Operations Analyst with 3+ years improving supply chain efficiency by 15% through data‑driven process redesign.
- Hiring managers can’t gauge your contribution
- ATS looks for numbers to rank relevance
- Makes you blend with generic candidates
- Add specific percentages, dollar amounts, or time savings
- Use the STAR format to frame achievements
- Quantify every major responsibility
Managed inventory levels and reduced waste.
Managed inventory levels, reducing waste by 22% and saving $120K annually.
- Recruiters scan top sections first
- ATS algorithms prioritize summary and experience
- Important skills may be missed
- Place Professional Summary, Core Competencies, Experience, Education, Certifications in that order
- Keep skills section after summary
- Use clear headings
Education, Experience, Skills, Summary
Summary, Core Competencies, Professional Experience, Education, Certifications
- ATS cannot read fancy fonts or embedded images
- Hiring managers may need to print
- File size may exceed limits
- Stick to Arial, Calibri, or Times New Roman 10‑12 pt
- Avoid tables, text boxes, and graphics
- Save as .docx or PDF (ATS‑friendly)
Resume uses a decorative script font and includes a workflow diagram.
Resume uses Calibri 11 pt, plain text, no graphics.
- ATS filters out resumes lacking job‑specific terms
- You appear less qualified
- Reduced chance of interview
- Extract keywords from job postings
- Incorporate terms like 'process mapping', 'lean methodology', 'SQL', 'data visualization'
- Distribute keywords naturally across sections
Performed data analysis for operations.
Performed data analysis using SQL and Tableau to identify process bottlenecks, supporting lean methodology initiatives.
- Use a concise professional summary
- Quantify every achievement
- Include at least 8 relevant keywords
- Use standard headings and order
- Save as PDF with proper naming
- Proofread for spelling and grammar
- Avoid tables and graphics
- Limit resume to 1‑2 pages
- Convert generic bullets to metric‑driven statements
- Reorder sections to optimal flow
- Replace non‑standard fonts with Calibri
- Insert top industry keywords
- Generate ATS‑friendly file name