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 .

Analytics Engineer II

Tala · India - Remote

About Tala

At Tala, we’re applying advanced technology and human creativity to solve what legacy institutions can’t or won't. We are a global financial infrastructure company on a mission to unleash the economic power of the global majority, recognizing that today’s financial infrastructure doesn’t work for most of the world’s population.

We’re the first and only platform to combine the intelligence of a credit bureau, the payments execution of a fintech, and the relationship expertise of a bank into one vertically integrated solution. Our platform is powered by an expansive moat of proprietary data and AI/ML decisioning technology, enabling us to deliver instant, reliable liquidity personalized to every customer's needs. Through our flagship credit app, we’ve disbursed over $7 billion in credit to more than 12 million customers across Latin America, Southeast Asia, and East Africa. These customers have leveraged Tala products to start and expand small businesses, manage day-to-day needs, and pursue their financial goals.

Our pioneering work and proven impact have earned us consistent recognition, including being named to:

CNBC’s Disruptor 50 for five years.
CNBC’s World's Top Fintech Companies for two consecutive years.
Forbes’ Fintech 50 list for nine consecutive years.

Visionary investors, persuaded by the economic power of the global majority, have committed half a billion dollars in equity and debt to Tala's success.

Given the global nature of our team, we operate on a remote-first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you!

As an Analytics Engineer II, you will build and maintain the presentation layer to provide aggregated, clean, and trustworthy data to the rest of the company. You will collaborate with other teams to seek ways to improve our data infrastructure. You will leverage AI to automate workflows and reduce delivery times for building and maintaining DBT models, tests, and the ingestion of new data sources. You will provide self-service and training to the rest of the company to enable data analysts to explore insights using our data infrastructure. This will bring data accessibility to a new level.

As an Analytics Engineer II, you will build and maintain the presentation layer to provide aggregated, clean, and trustworthy data to the rest of the company. You will collaborate with other teams to seek ways to improve our data infrastructure. You will leverage AI to automate workflows and reduce delivery times for building and maintaining DBT models, tests, and the ingestion of new data sources. You will provide self-service and training to the rest of the company to enable data analysts to explore insights using our data infrastructure. This will bring data accessibility to a new level.

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

What You'll Do

  • Build and maintain the presentation layer to provide aggregated, clean, and trustworthy data to the rest of the company.

  • Constantly seeking ways to improve our data infrastructure.

  • Provide self-service and training to the rest of the company and bring data accessibility to a new level.

  • Utilize AI tools to automate the development of DBT models and tests, significantly reducing delivery times for the ingestion of new data sources.

  • What You'll Need

  • 3+ years working as an Analytics Engineer 

  • Excellent in SQL, ETL, Snowflake, and at least one language (ex. Python, Java) 

  • Experienced with DBT or similar tools, assisted with an LLM.

  • Experienced in cleaning, aggregating, and validating data sets for analytical consumption

  • Self-starter who is capable of independently researching and designing solutions to a wide range of challenges of a rapidly-scaling business 

  • Able to look beyond the immediate deliverable, find the underlying problem, and solve it

  • Passionate about constant learning and bringing best practices back to the team

  • Comfortable in a fast-paced environment, understanding that week-to-week priorities may shift as new business challenges emerge