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 .

Data Quality Professional

Harborglobal · Remote, United States

Harbor is looking for detail-oriented and committed Data Quality Professionals (DQPs) to join our growing Managed Services team. As a DQP, you’ll play a key role in helping our clients maintain accurate, high-quality data that supports their business development and relationship management efforts. 

This is a remote position ideal for individuals who thrive in a structured, flexible work environment with a strong emphasis on quality, accuracy, and independence. Our team is distributed across multiple states, working from home offices with the support of experienced Quality Specialists and Client Managers.  Join our team as a Data Quality Professional and make a real impact by delivering accurate, high-quality data that helps our clients succeed. 

Hourly Pay Rate: $15.00 per hour

Responsibilities: 

  • Log in and complete assigned work each week according to deadlines 
  • Review and update client data accurately based on provided Style Guides 
  • Research and validate information using internal and external data sources 
  • Resolve data discrepancies and merge duplicate records 
  • Follow standardized procedures for general data clean-up projects 
  • Exercise sound judgment in determining accurate data 
  • Review audit feedback weekly, correcting any errors and implementing coaching guidance 
  • Communicate issues or blockers proactively with your team 
  • Attend and contribute to team meetings 

 Qualifications: 

  • You bring 3+ years of professional work experience or similar, ideally in a detail-driven role 
  • You follow directions carefully and execute tasks with high accuracy 
  • You have strong communication and collaboration skills, especially in virtual settings 
  • You are technically proficient and comfortable using software tools and systems 
  • You are self-motivated, organized, and able to manage your time independently 
  • You take pride in your work and are committed to delivering a high standard of quality 
  • You maintain confidentiality and demonstrate discretion when handling sensitive information 

Preferred Qualifications: 

  • Some college coursework or higher education experience 
  • Experience with CRM systems (training provided if not) 
  • Prior work experience in a law firm or familiarity with legal industry data 

Technical Requirements: 

  • Reliable, high-speed internet connection 
  • A quiet, dedicated workspace free from distractions during work hours 

Core Competencies:

  • Demonstration of Firm Values: Models professionalism, respect, and integrity in day-to-day performance and communication.
  • Collaboration & Teamwork / Developing Self and Others: Builds strong relationships with teammates and managers; acts as a reliable and supportive resource.
  • Commitment to Client Service: Responds effectively to client needs under the guidance of the Client Manager and team leads.
  • Execution of Work / Operational Competence: Exhibits proficiency in executing data-related tasks with a strong understanding of internal processes and tools.
  • Effective Communication: Demonstrates clear, professional communication and effectively summarizes data findings and task status. 

Key Skills: 

  • Patience, focus, and a proactive mindset 
  • Exceptional attention to detail and quality
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