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 Management Lead

Atmos Energy · Texas - Dallas

THIS JOB DESCRIPTION DOES NOT ATTEMPT TO LIST ALL OF THE DUTIES THAT ARE OR MAY BE PERFORMED IN THIS POSITION Primary Duties 1. Documents end to end data flows and system dependencies across Engineering, GIS, Operations, and Snowflake. 2. Validates and tests data across Asset Management, GIS, Work Management, and Snowflake to confirm alignment and consistency. 3. Analyzes critical datasets to identify completeness gaps, rule violations, and referential integrity issues impacting engineering and operational data. 4. Diagnoses root causes of data issues and drives effective remediation in partnership with business and technical teams. 5. Facilitates cross functional working sessions to clarify requirements, resolve ambiguities, and align data with operational processes and field reality. 6. Creates and maintains data documentation and lineage in Enterprise Governance Platforms, covering data capture through enterprise reporting. 7. Delivers and maintains validated, structured, and curated datasets that support enterprise data strategy and downstream decision making. 8. Develops and maintains data quality dashboards that monitor trends, surface critical exceptions, and support prioritization. MINIMUM REQUIREMENTS Educational/Experience Level: Bachelor's degree data science, mathematics, statistics, computer science, or related discipline and a minimum of 5 years of related experience in data analysis, BI development, data integration validation, or data quality roles. Required Skills/Experience: • Strong SQL proficiency and experience with relational databases and cloud data warehouse platforms (Snowflake preferred). • Experience validating ETL/ELT outputs and documenting transformation logic. • Experience supporting curated datasets for BI and analytics. • Strong data profiling and data quality assessment skills. Preferred Skills/Experience: • Experience with Python or R for analysis and automation. • Experience with enterprise data governance tools (Alation, Collibra, etc.). • Knowledge of data modeling approaches. • Hands-on experience with Tableau or similar BI platforms. • Experience in regulated industries such as utilities, energy, financial services, or healthcare. Communication Skills: Requires the ability to translate complex data concepts into clear business requirements. Must be able to communicate, persuade and/or influence audiences on matters of a technical and/or complex nature. Demonstrated ability to lead projects and mentor team members. Numeric Skills: Requires the ability to apply research methods, algorithms, calculus, and/or advanced statistical and/or accounting methods. Computer Skills: Requires a very high level of computer skills in order to use various programming languages for writing, modifying, and executing programs. Familiar with cloud-based data tools and systems used for managing, securing, and automating data processes. Physical Demands: Requires occasionally performing activities including, but not limited to, bending, stooping, grasping, reaching, twisting, turning and/or lifting. Work Conditions: Primary job responsibilities require work inside an office environment. Atmos Energy Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or veteran status.

Job Family:

Data Analytics
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