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 .

Product Analytics Lead

Matillion · Manchester

Ready to shape the future of data?

Matillion is the intelligent data integration platform.

We're changing how the world works with data – and we need driven, curious people who think big and move fast. 

We built the Data Productivity Cloud to supercharge data productivity, and now we’re shaping the future of data engineering with Maia – our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed.

Join #TeamGreen, where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves.

We are now looking for a Product Analytics Lead to help us drive the future of AI SaaS. 
 
About the role
This is a high-impact, hands-on role where you will be the analytical cornerstone of our SaaS products, Data Productivity Cloud and Maia. We are looking for a Player-Coach; a seasoned expert who can deliver sophisticated analysis while mentoring a small, dedicated team. Your work will directly measure, understand, and optimise usage, adoption, and the business impact across our entire product suite.
 
If you're a Product Analytics expert with a passion for Product-Led Growth and a talent for transforming complex data into executive-ready insights, then this is the role for you.
We are now looking for a Product Analytics Lead to help us drive the future of AI SaaS. 
 
About the role
This is a high-impact, hands-on role where you will be the analytical cornerstone of our SaaS products, Data Productivity Cloud and Maia. We are looking for a Player-Coach; a seasoned expert who can deliver sophisticated analysis while mentoring a small, dedicated team. Your work will directly measure, understand, and optimise usage, adoption, and the business impact across our entire product suite.
 
If you're a Product Analytics expert with a passion for Product-Led Growth and a talent for transforming complex data into executive-ready insights, then this is the role for you.
Ready to put your analytical prowess to work for a company at the forefront of AI and SaaS? Apply now!
 
At Matillion, we are committed to providing competitive salaries in line with market standards. Our estimated compensation range for this position is £102,000- £153,000, but the final salary will be based on your relevant skills, experience and qualifications demonstrated in the hiring process.

At Matillion, we’re here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren’t for the faint-hearted, and we don’t shy away from them. But we don’t do it alone. No egos, no politics - just great people working together, guided by our six core values;

- Confidence without arrogance
- Working with integrity
- Customer obsessed
- Innovate and demand quality
- Bias for action
- We care

We operate a flexible working culture that promotes work-life balance, with benefits including:

- Company Equity
- 30 days holiday + bank holidays
- 5 days paid volunteering leave
- Health insurance
- Life Insurance
- Pension
- Access to mental health support

More about Matillion
Thousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world. 

We are keen to hear from prospective Matillioners, so even if you don't feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you're interested in Matillion but don't see a suitable role, please email [email protected].

Find out more about life on #TeamGreen here

Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law. 

What you'll be doing

  • You will drive quantifiable business impact by measuring, understanding, and optimising the usage and adoption of our SaaS products, Data Productivity Cloud and Maia.
  • You will be the primary analytical expert, applying deep statistical analysis, experimentation, and advanced techniques to large product telemetry datasets.
  • You will drive Product-Led Growth success by translating data insights into actions that directly influence key product metrics and adoption motions.
  • You will be the data storyteller, creating executive-ready insights through high-quality visualisations, presentations, and compelling narratives.
  • You will act as a Player-Coach, maintaining a primary hands-on contribution while mentoring and guiding a small team of junior analysts/data engineers.
  • What we are looking for

  • Significant experience in Product Analytics or Data Science with a proven track record of driving quantifiable business impact.
  • Deep expertise in statistical analysis, experimentation, and advanced analytics techniques.
  • The ability to analyse massive datasets from product telemetry (event streams, logs) and testing.
  • Excellent communication and executive presentation skills, mastering data visualisation and storytelling.
  • An expert with strong product instincts, able to take a loose analytical brief and execute autonomously (Nice to have: Experience with Python, Snowflake, or ThoughtSpot).