Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Senior Analyst - CN

Aarkiinc · Beijing, China

Who are we?

Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.

Role Overview

This role operates with a high degree of independence and end-to-end ownership across all campaign functions, using strong analytical thinking to translate trends into clear insights and actions. The person in this position proactively drives performance improvements by initiating optimizations and developing testing strategies that enhance both campaign results and client outcomes, while communicating consistently with structure and clarity. They maintain a disciplined daily monitoring cadence- reviewing campaign health, identifying anomalies early, and escalating concerns promptly. The role also requires reliability during on-call rotations, responding to alerts quickly and taking immediate investigative action. Throughout, they keep managers and Customer Success proactively informed on account performance, test progress, emerging issues, and risks before being prompted.

Key Responsibilities

  • Own campaign execution end to end for assigned accounts, including setup, QA, launch, optimization, and ongoing pacing management, with full accountability for outcomes.

  • Serve as a core executor of campaign setup, optimization, and pacing; proactively monitor daily campaign health (pacing, fraud rates, KPI shifts, creative performance, delivery health) and flag anomalies early.

  • Proactively identify, investigate, and resolve performance issues without being prompted, bringing context, root-cause hypotheses, and recommended solutions.

  • Execute advanced optimizations and testing strategies (with support from leads/managers as needed), interpret results, and translate learnings into next actions that improve performance and client outcomes.

  • Identify risks early and communicate to managers and Customer Success with clear, structured updates on performance, test status, issues, and pacing changes-- before being asked.

  • Respond quickly to system alerts, pacing issues, and Customer Success inquiries within defined SLAs; participate reliably in on-call rotations and maintain thorough logs of issues, actions, and handoffs.

  • Document all tests and experiments (setup, methodology, results) in organized, reusable formats; contribute to internal playbooks, test summaries, and tooling feedback to scale team effectiveness.

  • Collaborate directly with Customer Success and Product partners on account needs as required to unblock execution and improve outcomes.

  • Mentor and support junior and peer analysts informally by reviewing work, troubleshooting issues, sharing best practices, and providing coverage when needed.

Required Skills / Experience

  • At least 3 years of hands-on analytics experience (required)

  • Graduate of Mathematics, Statistics, Engineering, Computer Science, or any other analytical field.

  • Comfortable in a fast-paced startup environment.

  • Foundational knowledge and experience using SQL, Python, R, and related data query tools.

  • High attention to detail and pride in execution quality

  • Able to use English as a working language