ATS Resume Analysis Report 1. ATS Score Estimated ATS Compatibility Score: 68 / 100 Reason: Resume includes core technical skills like SQL, Python, Tableau, and data visualization. However, the job description specifically requires Power BI, statistical analysis, and business intelligence tools, which are missing. Experience bullets are generic and not achievement-focused, which reduces ranking in many modern ATS + AI screening systems. 2. Keyword Match Analysis Job Description Keyword Present in Resume Notes SQL ✅ Yes Listed in skills Python ✅ Yes Listed in skills Power BI ❌ No Important missing BI tool Data Visualization ✅ Yes Present Dashboards ✅ Yes Mentioned Business Intelligence ❌ No Should be added Data Analysis ✅ Yes Present Trend Analysis ❌ No Not mentioned Statistical Analysis ❌ No Missing Business Insights ❌ No Not mentioned Reporting ✅ Yes Present Keyword Match Estimate: ~60–65% 3. Missing Keywords Important keywords that could reduce ATS ranking: Power BI Business Intelligence (BI) Statistical Analysis Trend Analysis Data Cleaning Data Modeling ETL Data-driven decision making KPI tracking Advanced Excel Stakeholder communication Adding these improves keyword density and semantic matching. 4. Improved Resume Bullet Points Original • Created reports for business teams Improved • Developed automated SQL and Excel reports that supported business decision-making for sales and operations teams Original • Analyzed sales data Improved • Analyzed large sales datasets using SQL and Python to identify customer trends and revenue growth opportunities Original • Built dashboards in Tableau Improved • Designed interactive Tableau dashboards to track KPIs, sales performance, and operational metrics Additional Strong Bullet (Recommended) • Performed data cleaning, transformation, and visualization to improve reporting accuracy and insight generation 5. ATS Optimization Suggestions 1. Add Missing Skills Update skills section: Skills SQL Python Excel (Advanced) Tableau Power BI Data Visualization Statistical Analysis Business Intelligence (BI) Data Cleaning & Data Modeling 2. Improve Professional Summary Original Data analyst with 3 years of experience analyzing business data and creating dashboards. Optimized Data Analyst with 3+ years of experience in SQL, Python, and business intelligence tools analyzing large datasets, building dashboards, and delivering data-driven insights for business decision making. 3. Add Metrics ATS and recruiters prefer quantifiable impact. Examples: Improved reporting efficiency by 30% Analyzed 1M+ records Reduced manual reporting time by 40% 4. Use ATS-Friendly Formatting Avoid: Tables Columns Graphics Icons Use: Standard headings Bullet points Plain text formatting 5. Add a Tools Section Example: Tools & Technologies SQL | Python | Tableau | Power BI | Excel | Data Visualization | BI Tools 6. Optimized Resume Section (Professional Experience) Data Analyst — ABC Corp 2021–2024 Analyzed large business datasets using SQL and Python to identify sales trends and operational insights Developed interactive Tableau dashboards to visualize KPIs, sales performance, and customer behavior Created automated reports in SQL and Excel, reducing manual reporting effort by 30% Collaborated with business stakeholders to translate data insights into actionable recommendations Performed data cleaning, transformation, and statistical analysis to improve reporting accuracy Supported business intelligence initiatives by delivering data-driven insights for strategic decisions Final Recruiter Verdict Strengths ✔ Relevant tools (SQL, Python, Tableau) ✔ Clear experience as Data Analyst ✔ Appropriate education Weaknesses ✖ Missing Power BI & statistical analysis keywords ✖ Bullet points lack quantifiable achievements ✖ Skills section slightly limited ✅ With the recommended improvements, this resume could reach: ATS Score: 85–90 / 100