Data & Analytics

Entry LevelData Analyst Resume Example

Use this free entry leveldata analyst resume sample as your starting point, then tailor it for your experience level and target job.

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Data Analyst Resume Template (entry level)

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Professional Summary

Motivated recent graduate with a B.S. in Economics and hands-on internship experience in data analysis. Proficient in SQL and Excel for data cleaning and visualization. Eager to support business decision-making through accurate reporting.

Professional Experience

Data Analyst InternJun 2025 - Aug 2025
Summit Logistics, Austin, TX
  • Assisted in cleaning a dataset of 50,000+ shipping records using Excel and Python.
  • Created a weekly dashboard in Tableau to track delivery times, identifying a 5% delay trend in the southern region.
  • Wrote basic SQL queries to extract customer contact lists for marketing email campaigns.
Research AssistantSep 2024 - May 2025
University of Texas, Austin, TX
  • Collected and organized survey data from 500+ participants for an economic study.
  • Used SPSS to perform statistical analysis and presented findings to faculty members.

Skills

SQL (Basic), Microsoft Excel (Pivot Tables, VLOOKUP), Tableau Public, Python (Pandas), Data Cleaning, Presentation Skills

Education

B.S. Economics, Minor in Data ScienceMay 2025
University of Texas at Austin
  • Capstone Project: Analyzed local housing market trends using Python; predicted price fluctuations with 85% accuracy.

Certifications

  • Google Data Analytics Professional Certificate

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Key Skills for Data Analyst

SQL (Basic)Microsoft Excel (Pivot Tables, VLOOKUP)Tableau PublicPython (Pandas)Data CleaningPresentation Skills

ATS Keywords for Data Analyst

Use these naturally in your summary, skills, and experience when they reflect your background.

Data AnalystSQLMicrosoft ExcelTableau PublicPythonData CleaningPresentation Skillsdata analysisreportingstatistical analysisdata visualizationdashboard reporting

How to Write an Entry Level Data Analyst Resume

An entry-level Data Analyst resume should prove you can turn messy numbers into a clear answer, not just that you took a statistics class. Lead with SQL and Excel fundamentals, a Tableau Public dashboard you built, and one project where you cleaned real data and presented a finding someone acted on.

Resume Writing Tips

Anchor SQL Claims in a Real Query

Describe a specific query you wrote — a join across tables, a GROUP BY for a summary report — and what question it answered, since naming SQL without an example is the most common thin spot on entry-level resumes.

Link to a Public Dashboard

Include a Tableau Public link or screenshot of a dashboard you built from a real or open dataset, describing the insight it surfaced, so hiring managers can see finished work instead of taking your skills on faith.

Show the Full Cleaning-to-Presentation Pipeline

Walk through one project end-to-end — messy source data, the cleaning steps in Excel or Pandas, and the recommendation you presented — proving you carry an analysis from raw numbers to a decision, not just run isolated queries.

Skills to Highlight

SQL (Basic)

Cite a specific query type you're comfortable with — joins, aggregations, filtering — and the dataset or class project it came from, to prove functional rather than theoretical knowledge.

Microsoft Excel (Pivot Tables, VLOOKUP)

Describe a report you built using pivot tables or VLOOKUP to summarize a real dataset, naming the business question it answered, since Excel fluency is still the first filter many recruiters apply.

Tableau Public

Reference a specific dashboard you published, including the chart types and the insight a viewer would take away, to show design judgment alongside tool knowledge.

Python (Pandas)

Mention a specific data-cleaning or transformation task you did in Pandas, such as handling missing values or merging datasets, to prove applied coding rather than a syllabus mention.

Common Questions

Do I need a portfolio to get an entry-level data analyst interview?

Effectively yes — a Tableau Public dashboard or a GitHub repo with a Python or SQL project gives recruiters something concrete to evaluate, since entry-level candidates rarely have job-derived metrics to lean on instead.

Is an Economics or unrelated degree a problem?

No — pair your degree with specific technical proof: SQL queries you've written, a cleaned dataset, or a dashboard you built, since employers care more about demonstrated analytical ability than the major on your diploma.

Should I mention presentation skills if I've only presented to classmates?

Yes — describe the specific finding you presented and how you tailored it for a non-technical audience, since translating data into a clear takeaway is exactly the skill entry-level analysts are hired to develop further.

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