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 Data Analyst, Data Analytics

Current81 · New York, NY

Senior Data Analyst

Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes.

ABOUT THE ROLE

We are seeking a strong Senior Data Analyst with preferably prior industry experience in FinTech and the B2C/DTC domain. You will play a crucial role in leveraging data to drive strategic decisions, optimize business performance, optimize our customer interactions, and ensure a frictionless user experience. You will leverage advanced analytics to identify trends, measure performance, and provide strategic insights that support data-driven decision-making across the organization.

RESPONSIBILITIES

  • Analyze large datasets to identify trends, insights, and opportunities that drive business growth.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs) across various business functions.
  • Partner with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions.
  • Utilize predictive analytics and machine learning models to optimize business processes and customer engagement strategies.
  • Conduct A/B testing and customer segmentation analysis to enhance decision-making and personalization strategies.
  • Provide actionable insights to leadership on business performance, customer behavior, and operational trends.
  • Ensure data integrity, accuracy, and governance across multiple data sources and platforms.
  • Mentor junior analysts and contribute to a data-driven culture within the company.

ABOUT YOU

  • 5+ years of experience in data analytics, preferably in fintech, banking, or a technology-driven industry.
  • Strong proficiency in SQL, Python, or R for data analysis and manipulation.
  • Experience with data visualization tools such as Tableau, Looker, or Power BI.
  • Expertise in business intelligence, forecasting, and performance analytics.
  • Familiarity with machine learning techniques and predictive analytics is a plus.
  • Strong understanding of A/B testing, customer segmentation, and retention strategies.
  • Excellent problem-solving skills and the ability to translate complex data into actionable insights.
  • Strong communication skills to effectively collaborate with technical and non-technical stakeholders.

Additional Skills and Qualifications

  • Experience with Looker or other business intelligence tools is preferred.
  • Exposure to dimensional modeling concepts to power meaningful analytics.
  • Ability to visualize data effectively and communicate insights clearly and concisely.
  • Experience modeling data using dbt.
  • Familiarity with machine learning techniques and predictive analytics is a plus.
  • Experience working with Fintech, banks or a B2C company.

This role has a base salary range of $150,000 - $200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.

BENEFITS

  • Competitive salary
  • Meaningful equity in the form of stock options
  • 401(k) plan
  • Discretionary performance bonus program
  • Biannual performance reviews
  • Medical, Dental and Vision premiums covered at 100% for you and your dependents
  • Flexible time off and paid holidays
  • Generous parental leave policy
  • Commuter benefits
  • Fitness benefits
  • Healthcare and Dependent care FSA benefit
  • Employee Assistance Programs focused on mental health
  • Healthcare advocacy program for all employees
  • Access to mental health apps
  • Team building activities
  • Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches