Entry-Level Data Analyst Resume Example That Passes ATS Screening
This Entry-Level Data Analyst resume example demonstrates the keywords and formatting that pass ATS screening. Key terms to include: data analyst, SQL, Python, Tableau.
Entry-level data analyst positions are among the most competitive for new graduates because they attract candidates from statistics, economics, business, and computer science backgrounds. This example shows how a recent graduate with an analytics internship can structure their resume to pass ATS filters for data analyst roles, emphasizing SQL proficiency, visualization skills, and business impact over academic credentials.
Full Resume Sample
Emily Nakamura
Data Analyst
Professional Summary
Data analyst with internship experience in e-commerce analytics and a strong foundation in SQL, Python, and Tableau. Completed a 6-month analytics internship where I built dashboards tracking $4M in monthly revenue and identified a pricing optimization that increased margins by 3.2%. Looking to apply my analytical skills and business acumen in a data-driven organization.
Experience
Data Analytics Intern
Wayfair · Boston, MA · May 2024 - Nov 2024
- Built 5 Tableau dashboards tracking revenue, conversion rates, and customer acquisition costs across 3 product categories, used daily by a 15-person merchandising team
- Wrote SQL queries analyzing 2M+ rows of transaction data to identify pricing anomalies, leading to a repricing initiative that improved category margins by 3.2%
- Automated a weekly Excel reporting process using Python (pandas), reducing analyst prep time from 4 hours to 20 minutes per report cycle
- Presented findings from A/B test analysis to senior merchandising leadership, influencing a homepage layout change that increased click-through rate by 8%
Research Assistant
Boston University Economics Department · Boston, MA · Sep 2023 - Apr 2024
- Cleaned and analyzed 500K+ rows of census data using R and STATA for a labor economics study on wage disparities
- Created 12 regression models and visualizations for a working paper, 2 of which were included in the published version
- Maintained the research database and documented data transformation processes for reproducibility
Education
B.A. Economics with Data Analytics Minor — Boston University, 2024 (GPA: 3.6/4.0 | Relevant coursework: Econometrics, Statistical Methods, Database Management, Data Visualization)
Skills
Data Analysis: SQL (PostgreSQL, MySQL), Python (pandas, NumPy, matplotlib), R, STATA, Excel (advanced: pivot tables, VLOOKUP, macros)
Visualization & Reporting: Tableau, Google Sheets, Jupyter Notebooks, Excel charts
Tools & Methods: Git, Google Analytics, A/B testing, Regression analysis, ETL processes
Certifications
Google Data Analytics Professional Certificate (2024) · Tableau Desktop Specialist (2024)
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Compare Your Resume →Why This Resume Works
Business impact is front and center, not just technical skills. Emily doesn't just say she 'analyzed data.' She identifies a pricing optimization worth 3.2% in margin improvement and an A/B test that drove 8% CTR increase. Entry-level candidates who connect analysis to business outcomes stand out immediately.
The automation project shows initiative beyond assigned tasks. Automating the weekly Excel report wasn't asked for — it shows Emily saw an inefficiency and fixed it. This is the kind of proactive behavior hiring managers look for, and 'reduced from 4 hours to 20 minutes' is a concrete metric that ATS and humans both respond to.
Research experience fills the second experience slot effectively. For entry-level candidates without two professional analytics roles, academic research is an excellent substitute. Emily's RA experience shows SQL-adjacent data skills (cleaning 500K rows, regression modeling) and the publication mention adds credibility.
Certifications supplement the degree without cluttering the resume. The Google Data Analytics and Tableau certifications signal commitment to the analytics career path and provide additional keyword matches. They are listed concisely — one line each — and complement rather than repeat the skills section.
ATS Keywords for Entry-Level Data Analyst Resumes
ATS systems scanning Entry-Level Data Analyst applications look for these terms. The resume above weaves them in naturally rather than listing them outright.
Section-by-Section Writing Tips
Professional Summary
For entry-level data analysts, name the tool stack (SQL, Python, Tableau) and one or two impact numbers immediately. Avoid 'detail-oriented team player' — every candidate says that. Instead: 'Built dashboards tracking $4M in revenue for a 15-person team.'
Experience Section
Quantify data volume (rows, records, transactions), time savings (hours per week), and business metrics (revenue, margins, conversion). If you only have one internship, add a 'Projects' section with portfolio analysis work.
Skills Section
SQL should be first or near-first in your skills section — it is the most screened keyword for data analyst roles. List specific SQL dialects (PostgreSQL, MySQL) and Python libraries (pandas, NumPy) rather than just the language names.
Education Section
Include the analytics minor or concentration prominently. List relevant coursework that matches data analyst job descriptions. Include GPA if above 3.3.
Common Entry-Level Data Analyst Resume Mistakes
Hiring managers reviewing Entry-Level Data Analyst resumes flag these problems repeatedly. Each one can knock your ATS score or land your application in the rejection pile.
- Saying 'proficient in Excel' without specifying advanced features like pivot tables, VLOOKUP, and macros
- Listing Python without naming the specific data libraries (pandas, NumPy, matplotlib, seaborn)
- Describing analysis work without connecting it to a business outcome or decision
- Omitting the scale of data worked with — '2M+ rows' is far more impressive than just 'analyzed transaction data'
- Not including Tableau or Power BI when these are the most common visualization tools screened by ATS for analyst roles