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 Energy Analyst - Australia

Powerline · Melbourne

Join Powerline and help revolutionize the future of the electricity grid!

We are a disruptive, VC-backed climate tech company based in Silicon Valley with offices in Australia and Europe. Our cutting-edge technology leverages machine learning and artificial intelligence to optimize renewable energy and battery storage projects on the electricity grid. Our products help renewable project owners achieve strong economics and operational excellence, paving the way for a decarbonized and profitable future grid. We work on exciting projects with leaders in the world’s most lucrative and complex electricity markets.

About the role: We're searching for critical thinkers who are passionate about using data to solve both business and technical challenges. You should have strong expertise in the Australian electricity market, along with a proven background in data analysis using Python and similar tools. This is a key role at Powerline, where your insights will directly shape the company’s strategy.

As an Energy Analyst, you’ll work closely with the founders and a talented team of engineers to explore and answer some of the most pressing questions in the energy sector. Join us as an early, foundational team member at a rapidly growing climate-tech company. This is your chance to make a real impact on critical issues in the world’s most important and fast-evolving markets.

This position is based in Australia, with a preference for candidates who can work from our Melbourne office two to three days per week.

Requirements:

  • Experience in analyzing, trading, and/or supporting trading decisions in the wholesale energy markets such as AEMO, UK, and the US, or relevant experience.

  • Experience in combing through large energy databases, performing high-quality analyses, and extracting data-driven insights for operational, commercial, and/or technical decisions.

  • Ability to support the commercial team by identifying areas of high commercial value for analysis.

  • Ability to design questions and conduct experiments to help business development and business strategy decisions.

  • Ability to support algorithm engineers for new forecasting and optimization products.

  • Familiarity with Python and its useful libraries (such as pandas) for time series data analysis and visualization.

  • Strong critical thinking, independence, and curiosity.

  • Excellent communication skills. You'll need to clearly and consistently convey complex findings to the team.

  • Meticulous attention to detail. Your work’s accuracy is crucial, as both the role’s and the company’s success depend on it. We need to fully trust the results, so the stakes are high.

  • Ability to thrive in fast-paced environments.

  • Familiarity with database query languages, such as MySQL, PostgreSQL, cQL, etc.

Strong Plus:

  • Ability to develop automated reports, analysis, and dashboards to continually monitor and track energy market trends.

  • Familiarity with Git, Jira / Confluence, Docker.

  • Master’s or PhD in relevant fields, with a strong math and statistics foundation.