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 .

Energy Analyst/Senior Energy Analyst (PowerSIMM)

Ascendanalytics · Boulder, CO

Energy Analyst, Boulder, CO  

Preference is given for candidates who can work in the Boulder office, but remote work is possible for a highly experienced candidate.  

Please note: Ascend Analytics is not able to offer visa sponsorships at this time.

 

Your Impact at Ascend Analytics  

Ascend Analytics is seeking talented individuals passionate about the energy sector to join our analyst team. You will apply and build skills like quantitative modeling, decision analysis, market intelligence and forecasting, and strategic planning for energy analytics. Join our team of individuals committed to understanding the energy transition, shaping a cleaner and more cost-effective energy supply, and making an impact.  

Ascend Analytics is an innovative “climate tech” software and consulting company focused on energy analytics that are transforming the electric grid. Ascend's solutions provide the analytics to support critical power supply decisions from operating strategies for short and long-term investment and resource planning decisions. For more information, visit www.ascendanalytics.com 

 

Job Responsibilities  

  • Provide modeling and analysis for Ascend’s clients including utilities, developers, IPPs, large energy consumers, and government agencies.  
  • Troubleshoot and validate model outputs 
  • Perform quantitative analysis combining technical considerations, economic factors, market rules, and regulatory/policy developments 
  • Provide expertise to clients in analytic modeling in areas like risk management, asset valuation, and resource planning by communicating results and modeling approaches effectively 
  • Synthesize complex information into understandable reports, visualizations, and presentations 
  • Take ownership of projects, ensuring timely completion 
  • Leverage analytical tools using Excel, Python, or R for analysis  
  • Work independently and collaboratively as needed to achieve objectives.  

 

Required Qualifications  

  • Bachelor’s degree in a quantitative field, such as economics or engineering with evidence of strong academic performance, master’s or other advanced degree in a highly quantitative field is preferred  
  • 2+ years of prior work experience (5+ years of prior work experience for a Senior Analyst) in energy with a utility, consulting firm, government, or non-profit with a focus on energy.  
  • Wholesale energy market experience (ideally with a utility, energy project developer, or IPP) is highly preferred. 
  • Strong quantitative analytical skills, including the use of Excel and existing knowledge or the ability to learn the basics of coding in software packages such as SAS, Python or R.