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 .

BI Engineer

Syrve · Yerevan, Erevan, Armenia

Syrve is an international technology company providing an all‑in‑one cloud platform for restaurant and hospitality management. Our solutions support operations, analytics, finance, and customer experience for thousands of businesses worldwide. We combine modern technologies with industry expertise to help partners optimize processes, improve decision‑making, and accelerate growth.

About the role

As a BI Engineer at Syrve, you will play a key role in developing end‑to‑end analytical solutions that empower data‑driven decision‑making across the company. This role combines BI development, data modeling, ETL engineering, and stakeholder collaboration to deliver reliable insights and high‑quality data products.

Requirements

  • 3+ years of experience as a BI Engineer, Data Engineer, or similar role.

  • Strong practical experience with Power BI: advanced DAX, data modeling, and Power BI Service administration.

  • Confident work with Excel OLAP cubes, including writing formulas and building queries to semantic Power BI models (standard Excel tables alone are not sufficient).

  • Strong knowledge of Python for writing complex ETL scripts, working with external APIs, and parsing data (not just maintaining existing DAGs).

  • Understanding the architecture of analytical DWHs, including denormalization principles and differences from classical relational databases.

  • Confident SQL skills (PostgreSQL, MariaDB) and ability to read T‑SQL.

  • Readiness to work with legacy: proven ability to analyze someone else’s code, unstructured data, and historical databases with limited documentation.

  • Understanding of SaaS business metrics, subscription models, and CRM structures (revenue, cohorts, churn logic).

  • Basic understanding of Power Automate flows and willingness to learn quickly.

  • Proficiency in Russian and English.

Responsibilities:

  • ~40% of the time

    • Development and maintenance of dashboards in Power BI and performing deep analytics in Excel (OLAP cubes).

    • Writing advanced DAX measures.

  • ~35% of the time

    • Enhancing the analytical data warehouse (DWH).

    • Designing data models for BI needs, creating new business entities not present in source systems, and performing gradual refactoring of legacy structures.

  • ~25% of the time

    • Developing complex ETL processes in Python (API integrations, parsing, custom scripts).

    • Maintaining pipelines in Apache Airflow.

  • Additional responsibilities

    • Analyzing, reverse‑engineering, and optimizing existing data structures.

    • Writing complex SQL queries (PostgreSQL, MariaDB) and analyzing T‑SQL to understand the structure of MS SQL–based systems.

    • Configuring and supporting automations in Power Automate (e.g., auto‑refreshing Excel reports, Outlook email flows).

    • Ensuring data consistency, identifying metric discrepancies across CRM databases, and resolving anomalies.

    • Collaborating with stakeholders to translate business requirements into technical BI solutions.

Nice to Have

  • Experience implementing data governance practices and access control models.

  • Understanding metrics relevant to hospitality or POS systems.

We offer:

  • Working in an international company. 

  • Registration under the Labor Code of Armenia from the first day. 

  • Ability to work both remotely and in the office if desired. 

  • Flexible start of the working day until 11:00 GMT+3. 

  • Gym access package. 

  • Free English Courses with colleagues. 

  • Health insurance.