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7 Data Analyst Intern - Business Analytics Resume Templates with Example

By Ria · Last Updated On October 24, 2026
Resume example — page 1

This guide shows you how to build a Data Analyst Intern - Business Analytics resume that is clear, focused, and easy to review. Learn how to organize relevant evidence so your analytical work and results are easy to find.

Strong resumes connect business questions to analytical work. Use clear sections and concise bullets to show data requirements, data preparation, statistical modeling, visualizations, and the decisions your analysis supported.

The same resume example is presented in 7 layouts so you can compare the PNG previews and choose a format that fits your information. The guide also explains how to review the example and open it in the editor to customize it.

What Makes a Great Data Analyst Intern - Business Analytics Resume in 2026

A strong resume uses clear sections, focused skills, and concise bullets that show the work behind each result. Put the most relevant education, projects, and experience where reviewers can find them quickly.

Use accurate terms such as SQL, Python, Excel, Tableau, data validation, and statistical modeling when they match your background. Support them with specific evidence, such as analyzing 18,000 records or automating repeatable data checks.

Note: Resume examples are for educational purposes only. Use only information that accurately reflects your experience and qualifications. References to real organizations do not imply affiliation or endorsement.

#1 Simple One Column Format Resume Example

The Simple One Column Format keeps resume content in one vertical path, giving reviewers a direct way to follow each section.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • A single reading path helps reviewers follow experience, education, and skills in sequence.
  • Consistent vertical movement makes project details easier to scan from top to bottom.
  • One content column gives section headings and achievement bullets a shared reading order.

Best For

  • Straightforward section order
  • Detailed project histories
  • Resumes with several content areas
  • Top-to-bottom recruiter review
  • Simple document reading

Resume Keywords

  • University
  • data analysis
  • defining data requirements
  • Data collection
  • Processed public commodity-price and shipping datasets in Excel and SQL
  • Data cleaning
  • statistical modeling
  • Data visualization
  • documenting assumptions and model limits so project reviewers could assess patterns and trends relevant to replenishment decisions
  • Built Tableau dashboards that translated model results into clear answers to business questions
  • Contribute findings to data science
  • Contribute findings to data science and Big Data Mining projects
  • Process improvement
  • Analysis automation
  • independently completing scoped analyses
See all keywords
 

#2 Simple Two Column Format Resume Example

The Simple Two Column Format places resume content in two columns, giving reviewers a compact way to scan distinct sections.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Two columns let reviewers scan separate resume areas without losing the overall section structure.
  • The paired reading areas can keep supporting details close to the main career information.
  • A compact arrangement helps reviewers compare skills, education, and experience at a glance.

Best For

  • Compact resume organization
  • Several resume sections
  • Side-by-side content review
  • Quick section comparisons
  • Readers who prefer two columns

#3 Plain One Column with Shaded Labels Resume Example

Plain One Column with Shaded Labels uses a single vertical content path, helping reviewers move through resume sections in order.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • The one-column reading order supports a clear review of experience, education, and credentials.
  • A continuous vertical layout keeps achievement details connected to their resume sections.
  • Reviewers can move through skills and project evidence without switching between columns.

Best For

  • Single-path resume reading
  • Section-by-section review
  • Project evidence and credentials
  • Linear career histories
  • Readers who prefer one column
 

#4 One Column Format with Photo Right Resume Example

One Column Format with Photo Right pairs a single vertical resume layout with a photo on the right, for readers who want both features.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • The single-column body gives experience and education one clear reading sequence.
  • A vertical section order helps reviewers connect project evidence with its related details.
  • The photo sits beside, rather than within, the resume's content flow.

Best For

  • One-column resume organization
  • A resume with a portrait
  • Sequential section review
  • Project details in one reading path
  • Readers who want a photo beside content
 

#5 Clean Two Column Sidebar Format Resume Example

Clean Two Column Sidebar Format separates resume content across two columns, giving reviewers distinct areas to scan.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Two columns give resume sections separate visual areas while keeping the document easy to scan.
  • The divided layout helps reviewers move between experience and supporting qualifications.
  • Distinct content areas can make skills and education easier to locate during review.

Best For

  • Separate resume content areas
  • Fast section navigation
  • Experience with supporting details
  • Skills and education review
  • Readers comfortable with two columns
 
 

#6 Two Column Format Resume Example

Two Column Format organizes resume content in two columns, supporting a quick scan across its different sections.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • The two-column reading structure helps reviewers move across resume sections efficiently.
  • Separate content areas support quick checks of experience, skills, and education.
  • The arrangement lets project achievements sit within a broader view of the resume.

Best For

  • Two-column resume organization
  • Quick review across sections
  • Multiple project entries
  • Skills alongside experience
  • Readers seeking compact navigation
 

#7 Photo Header Two Column Format Resume Example

Photo Header Two Column Format combines a photo header with two-column resume content, pairing a portrait with a divided body layout.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • The two-column body gives reviewers separate areas for navigating resume content.
  • A portrait in the header keeps the photo visually apart from experience and skills.
  • The divided reading layout helps reviewers locate education and project details.

Best For

  • Two-column resume content
  • A portrait in the header
  • Separated photo and resume details
  • Quick navigation across sections
  • Readers who prefer a visual header
 
 
 

Why Build Your Data Analyst Intern - Business Analytics Resume with ResumeInMinutes

ResumeInMinutes can help you organize your experience, projects, education, skills, and certifications into a resume that is easy to scan and customize.

  • Clear resume section structure
  • ATS-aware formatting
  • Relevant keyword guidance
  • Project and skills organization
  • PNG resume previews
  • Editor links to view or customize examples

Use the example to check how project details, tools, education, and measurable results can work together. Keep each claim accurate and make the evidence easy to verify.

 

See Also

 

Frequently Asked Questions

Are these Data Analyst Intern - Business Analytics resume templates ATS-friendly?

The examples use readable headings and organized sections to support quick review. Use relevant terms such as data analysis, SQL, Python, statistical modeling, and data visualization where they accurately describe your experience.

Does this page show one resume or several?

It presents one resume example in different layouts. Compare the PNG previews, then open an example in the editor to view or customize it.

What should a Data Analyst Intern - Business Analytics resume include?

Include a focused summary, education, relevant projects or experience, skills, tools, and certifications. Use concise bullets to explain the data, methods, and results behind your work.

Which resume style works well for this role?

Choose a simple layout with clear headings and a logical section order. A straightforward design makes analytical skills and project evidence easier to scan.

How can I show analytical ability without extensive work history?

Use relevant coursework, research, and project work. Describe your data sources, preparation steps, methods, findings, and any measurable result, while being clear about the scope of each project.

Should I include a photo on my resume?

Include a photo only when it is customary or expected in your location or field. For U.S. applications, a resume without a photo is generally the safer choice.

ATS Score 91%

How we calculate this score

  • Keywords: 60% of the total. AI extracts keywords from your job description. If you do not provide one, a standard job description for the title matching your resume is used. This is not a match to a specific vacancy.
  • Text-based resume: 20%. The text resume assessed here receives 100 for this part.
  • Resume quality: 20%. We start at 100 and subtract points for issues found by our resume checks, down to a minimum of zero.
  • Keyword coverage = round(100 × confirmed matches ÷ total keywords). Exact matches and supported equivalents verified by AI receive full credit; unsupported keywords receive none. Live text checks use the saved equivalents and do not request a new AI review. Without keywords, no overall ATS score is available.
  • Final score = 60% of keyword coverage + 20% of the text score + 20% of the quality score, rounded to a whole number. Without keywords, no overall ATS score is available.

What this score means

Our scores are estimates, not employer ratings. They may contain errors and do not guarantee accurate parsing, a ranking, an interview, or a job. Check your document against the employer’s requirements. You are responsible for relying on this score.

Terms and Conditions

Score weights: Keywords 60% · Text based resume 20% · Resume quality 20%

Keyword coverage: 23 of 27 (85%) · Resume quality: 100%

Resume quality 100% · Weight 20% · Issues (0)

Details
  • ✓Name present: Cora Ball
  • ✓Email format: cora.ball@example.com
  • ✓Phone format: (775) 555-XXXX
  • ✓Experience 1: Job title: Business Analytics Capstone Project
  • ✓Experience 1: Company name: University Project
  • ✓Experience 1: Work location: Reno, NV
  • ✓Experience 1: Employment dates: Sep 2025 - May 2026
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Marketing and Financial Services Analytics Practicum
  • ✓Experience 2: Company name: University Research Lab
  • ✓Experience 2: Work location: Reno, NV
  • ✓Experience 2: Employment dates: Jan 2025 - Aug 2025
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Market Economics and Supply Chain Course Project
  • ✓Experience 3: Company name: University Project
  • ✓Experience 3: Work location: Reno, NV
  • ✓Experience 3: Employment dates: Sep 2024 - May 2025
  • ✓Experience 3: Description or achievements: Present
  • ✓No placeholder fields
  • ✓No repeated achievement bullets
  • ✓No empty bullets

No issues found by the current checks.

Text Based Resume 100% · Weight 20%

Parsed text
Cora Ball
(775) 555-XXXX
cora.ball@example.com
coraball
Reno, NV 89501
SUMMARY
Business analytics graduate with two years of applied academic project practice in data analysis, statistical modeling, and decision support. Define data requirements, prepare and analyze datasets, and use visualizations to explain patterns relevant to supply chain, marketing, financial services, market economics, and scientific research. Contribute findings to data science and Big Data Mining projects, automate recurring preparation, and share documented analytical practices with peers. Hold a bachelor's degree in business analytics and have coordinated student project reviews.
EDUCATION
Bachelor of Science in Business Analytics
2026
University of Nevada, Reno
Reno, NV
TECHNICAL SKILLS
Programming Languages: Python, SQL, R
Data Analysis Libraries: pandas, NumPy, SciPy
Visualization Libraries: Matplotlib, Seaborn, Plotly
Business Intelligence: Tableau, Microsoft Power BI, Looker Studio
Spreadsheets: Microsoft Excel, Google Sheets, LibreOffice Calc
Relational Databases: PostgreSQL, MySQL, SQLite
Notebook Platforms: Jupyter Notebook, Google Colab, RStudio
Statistical Software: statsmodels, scikit-learn, SAS
File Formats: CSV, JSON, Microsoft Excel XLSX
Version Control: Git, GitHub, GitLab
SKILLS
Data analysis
Data requirements
Data collection
Data cleaning
Statistical modeling
Data visualization
Trend analysis
Decision support
Data Science support
Big Data Mining
Process improvement
Analysis automation
Research documentation
Data validation
Knowledge sharing
EXPERIENCE
Business Analytics Capstone Project
Sep 2025 - May 2026
University Project
Reno, NV
Combined 18,000 public supply chain records after defining data requirements, collecting source files, and using SQL and Python to clean and validate the data for a forecasting and inventory analysis.
Compared regression and clustering models against holdout data, documenting assumptions and model limits so project reviewers could assess patterns and trends relevant to replenishment decisions.
Built Tableau dashboards that translated model results into clear answers to business questions, then presented findings and recommended follow-up analyses to a faculty review panel.
Automated repeatable data-quality checks in Python, reducing manual preparation steps and creating a documented workflow for future student teams.
Marketing and Financial Services Analytics Practicum
Jan 2025 - Aug 2025
University Research Lab
Reno, NV
Gathered and standardized public advertising and financial-services datasets for separate research questions, recording data definitions and collection steps to support reproducibility.
Analyzed campaign response patterns and financial-market indicators with Excel, SQL, and Python, using statistical summaries and visualizations to explain findings without overstating associations.
Shared cleaned datasets, analytical notes, and preliminary findings with a faculty-led data science group as input to a broader Big Data Mining research project.
Followed established research and data-handling standards, independently completing scoped analyses and presenting limitations and next-step options at project reviews.
Market Economics and Supply Chain Course Project
Sep 2024 - May 2025
University Project
Reno, NV
Processed public commodity-price and shipping datasets in Excel and SQL to examine how market economics and supply chain conditions related to observed price changes.
Created charts and a concise analysis brief that highlighted data patterns, explained collection and cleaning decisions, and connected results to practical planning questions.
Worked within course guidelines to check calculations, document methods, and share reusable data-preparation practices with classmates.
LEADERSHIP, AWARDS & RECOGNITION
Peer Project Coordinator, Student Analytics Association, 2025-2026: Set weekly objectives and review checkpoints for a three-person student project group, shared reproducible analysis practices, and helped junior members prepare research presentations.
Peer Mentor, University of Nevada, Reno, 2024-2025: Led study sessions on data cleaning and introductory statistical analysis for undergraduate classmates.
Dean's List, University of Nevada, Reno, 2024 and 2025.
Undergraduate Research Poster Recognition, College Research Showcase, 2025.
CERTIFICATIONS
Google Data Analytics Professional Certificate
2025
Microsoft Office Specialist: Excel Associate
2024
PROFESSIONAL AFFILIATIONS
Student member of the American Statistical Association, engaging with statistical analysis resources and professional development opportunities.
Student member of INFORMS, participating in its organized community for analytics and operations research.

Matched keywords (23)

  • UniversityOriginal keyword in JD: University OR professional degree
  • data analysis
  • defining data requirementsOriginal keyword in JD: Data requirements definition
  • Data collection
  • Processed public commodity-price and shipping datasets in Excel and SQLOriginal keyword in JD: Data processing
  • Data cleaning
  • statistical modeling
  • Data visualization
  • documenting assumptions and model limits so project reviewers could assess patterns and trends relevant to replenishment decisionsOriginal keyword in JD: Pattern and trend analysis
  • Built Tableau dashboards that translated model results into clear answers to business questionsOriginal keyword in JD: Business decision support
  • Contribute findings to data scienceOriginal keyword in JD: Data Science project contributions
  • Contribute findings to data science and Big Data Mining projectsOriginal keyword in JD: Big Data Mining project contributions
  • Process improvement
  • Analysis automation
  • independently completing scoped analysesOriginal keyword in JD: Independent analytical execution
  • Followed established research and data-handling standardsOriginal keyword in JD: Analytical standards
  • presented findings and recommended follow-up analyses to a faculty review panelOriginal keyword in JD: Communication of findings
  • Knowledge sharing
  • Built Tableau dashboards that translated model results into clear answers to business questionsOriginal keyword in JD: Analytical solution development
  • Processed public commodity-price and shipping datasets in Excel and SQL to examine how market economics and supply chain conditions related to observed price changesOriginal keyword in JD: Supply chain analytics
  • Financial Services Analytics
  • market economics
  • scientific research

Missing keywords (4)

  • 1-2 years of practical professional experience in a relevant area
  • Continuous improvement
  • Junior coworker guidance
  • Marketing and advertising analytics
Disclaimer: All names, images, contact information, employment histories, achievements, security clearances, military credentials, and other qualifications shown in this content are fictional and used for illustrative purposes only. Any resemblance to actual persons, living or deceased, is purely coincidental.

Resume and cover-letter examples and recommendations in this article reflect general best practices and professional experience and are provided for guidance only. Results may vary based on role, industry, region, and hiring organization.

Content Accuracy and Verification: To the fullest extent permitted by applicable law, we do not represent or warrant that resume or cover-letter guidance, examples, recommendations, or related information are accurate, complete, current, error-free, or suitable for any particular purpose. You are responsible for independently reviewing and verifying the information before relying on it.

ATS and Cover-Letter Scores: ATS scores are estimates calculated using our own formula, informed by publicly available guidance on resume formatting and keyword matching. They are not scores issued or endorsed by an ATS provider or employer. Cover-letter scores are also our own assessments. Parsing, weighting, screening criteria, and results vary between systems, employers, job descriptions, and document formats. No score guarantees successful parsing, a particular ranking, an interview, or employment. Use scores as general guidance and independently check your documents against the employer’s requirements. To the fullest extent permitted by applicable law, we accept no liability for errors in scores or parsing, or losses arising from reliance on these assessments. Nothing in this notice excludes liability or limits consumer rights that cannot lawfully be excluded or limited.

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