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 .

Business Insights Lead

Vizai · US Remote

About Viz.ai

Viz.ai is the leader in AI-powered care coordination and clinical workflow solutions, deployed in nearly 2,000 hospitals across the U.S and trusted by most of the top life sciences companies. Its platform uses artificial intelligence to detect diseases earlier, synchronize care teams, and ensure patients get to the right treatment faster. Viz.ai was the first company awarded CMS reimbursement for AI and ranked the #1 Healthcare AI Platform by hospitals and health systems in the Black Book Research survey, setting the standard for innovation in healthcare. For more information visit Viz.ai.

About the Role:

We are seeking a Business Insights Lead with a passion for turning complex healthcare data into meaningful, actionable insights. In this role, you will own the analysis, reporting, and interpretation of data that drives client success, demonstrates product value, and informs operational and strategic decisions across Viz.ai Life Science’s business.

You will collaborate closely with cross-functional teams—including Life Science’s Account Management, Product, Clinical, Strategy & Operations—to develop high-impact analytics, dashboards, and narratives that illuminate how Viz.ai solutions deliver value in real-world settings.

This is a highly visible, analytical, and storytelling-focused role—ideal for someone who thrives at the intersection of data, business, and healthcare innovation.

Key Responsibilities:

  • Lead the end-to-end analytics lifecycle, from data requirement definition and to insight delivery.
  • Develop dashboards and reports to monitor KPIs, operational performance, and clinical or client outcomes using Viz.ai’s proprietary multimodal data.
  • Analyze large, complex datasets to identify trends, opportunities, and performance drivers that inform business and client strategies.
  • Create client-ready analyses and visualizations that communicate technical findings in a clear, actionable, and engaging manner.
  • Partner with business, clinical and product stakeholders to define data requirements, validate data accuracy, and ensure consistent data governance.
  • Conduct impact and value analyses that demonstrate the impact of Viz.ai solutions
  • Support strategic initiatives by providing data-driven perspectives and recommendations.
  • Design and deliver insightful presentations and narratives (PowerPoint, dashboards, visual reports) that translate analytics into decision-making tools for internal and external audiences.
  • Continuously improve analytical processes, identify inefficiencies, and recommend data-backed solutions to optimize performance.

Required Qualifications:

  • Bachelor’s degree in Data Analytics, Statistics, Economics, Computer Science, Public Health, or a related field.
  • 2–5 years of experience as a Data Analyst, Business Analyst, or in a related analytical role.
  • Strong proficiency in data analysis tools and data visualization tools such as Tableau, Power BI, or Looker.
  • Demonstrated ability to translate complex data into actionable insights for technical and non-technical stakeholders.
  • Excellent communication, top-down data storytelling, and problem-solving skills.
  • Experience working with healthcare datasets (e.g., claims, EHR/EMR, clinical or operational data).

Preferred Qualifications:

  • Understanding of healthcare operations, clinical workflows, and the life sciences ecosystem.
  • Experience supporting life sciences organizations through data analytics or performance measurement.
  • Familiarity with data governance, data quality assurance, and best practices in healthcare data management.
  • AI Native: You treat AI as a core part of your workflow, using tools like ChatGPT to enhance productivity and output.

What Success Looks Like:

  • You are the go-to expert for data insights that drive client satisfaction and internal decision-making.
  • Your analyses and visualizations help demonstrate Viz.ai’s value to clients and leadership.
  • You proactively identify trends and opportunities that lead to measurable business impact.

Viz offers competitive benefits, including medical, dental, vision, 401k, generous vacation, and other great benefits to full-time employees.  

Viz.ai is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Base salary range: 

  • Tier 1 (Greater SF/Silicon Valley Bay area): $127,000 - $150,000
  • Tier 2 (Greater NYC/NJ/CT Metro/Seattle/East Bay, CA): $121,700- $143,000
  • Others: $105,000 - $136,400

Total compensation includes base salary + bonus + options

 

#LI: GH1

#LI: remote