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7 Data Analyst Intern - Human Services Analytics Resume Templates with Example

By Ria · Last Updated On October 22, 2026
Resume example — page 1

This guide shows you how to build a Data Analyst Intern - Human Services Analytics resume that is clear, focused, and easy to review. You will learn how to organize relevant evidence and choose a format that supports quick scanning.

For this role, connect your data work to human services programs. Show how you clean and validate information, review behavioral health, child welfare, or child support measures, and explain findings to nontechnical readers.

The guide presents one Data Analyst Intern - Human Services Analytics resume example in 7 layouts. Compare the PNG image previews, then open an example in the editor to review its section order and presentation.

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

A strong resume makes relevant analysis easy to find. Clear sections and concise bullets help readers see the data work, reporting, and human services focus that match this role.

Use accurate terms such as SQL queries and joins, Excel pivot tables, Power BI dashboards, data validation, KPI reporting, and trend review. Support them with specific project evidence, clear findings, and measurable results when available.

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

Simple One Column Format keeps the resume body in one vertical reading path, a practical choice when reviewers should follow education, projects, and experience in sequence.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Education and certifications remain easy to locate as distinct resume sections.
  • Project bullets can show methods, checks, and findings without a parallel text column.
  • Leadership and awards add supporting evidence without interrupting experience detail.

Best For

  • Sequential review of academic work
  • Detailed project descriptions
  • One continuous reading path
  • Several distinct resume sections
  • Supporting awards and leadership

Resume Keywords

  • Health Informatics
  • 3.72 GPA
  • Data analysis
  • Statistics
  • Research methods
  • Microsoft Word, Microsoft Excel, Microsoft PowerPoint
  • Excel pivot tables
  • VLOOKUP, XLOOKUP
  • formula-based data cleaning
  • SQL SELECT queries, filters, aggregations, and joins
  • SQL SELECT queries, filters, aggregations
  • Power BI
  • rows, columns, keys, and tables
  • document how records flowed between systems
  • Built a Power BI dashboard
See all keywords
 

#2 Simple Two Column Format Resume Example

Simple Two Column Format divides the resume body into two columns, a practical choice for readers who want several resume sections visible together.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Separate content areas let reviewers compare experience with education and credentials.
  • Academic project bullets can show methods and findings within their own section.
  • Skills and reporting strengths remain visible as a distinct category.

Best For

  • Side-by-side section review
  • Academic project experience
  • Skills alongside work history
  • Several supporting credentials
  • Quick access to core sections

#3 Plain One Column with Shaded Labels Resume Example

Plain One Column with Shaded Labels keeps resume sections in one vertical body, a useful choice for readers who prefer a direct top-to-bottom review.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Academic project bullets keep their full sequence within one content area.
  • Skills, certifications, and education remain part of one document body.
  • Recognition entries can be reviewed alongside academic experience.

Best For

  • Top-to-bottom resume review
  • Full project bullet detail
  • Academic experience and coursework
  • Skills with related credentials
  • Recognition alongside experience
 

#4 One Column Format with Photo Right Resume Example

One Column Format with Photo Right pairs a photo with a one-column resume body, suiting readers who prefer a portrait alongside a direct reading path.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Project entries can retain their full descriptions in a single body column.
  • Education details follow the same vertical sequence as experience.
  • Skills and certifications remain available as text sections for reference.

Best For

  • Photo-inclusive resume presentation
  • Single-column reading preference
  • Full academic project details
  • Experience with education sections
  • Text-based skills and credentials
 

#5 Clean Two Column Sidebar Format Resume Example

Clean Two Column Sidebar Format uses a two-column resume body, a practical option when readers want related sections visible together.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Two content areas help distinguish project experience from supporting qualifications.
  • Detailed experience bullets remain separate from concise education information.
  • Readers can move between academic history and skills without losing section context.

Best For

  • Related sections viewed together
  • Detailed experience with concise credentials
  • Academic history and skills
  • Resume content in distinct groups
  • Fast movement between sections
 
 

#6 Two Column Format Resume Example

Two Column Format places resume content in two parallel areas, useful when readers need to compare experience and supporting sections in one view.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Project details and other resume sections appear as distinct content groups.
  • Education and credentials stay distinct from longer academic experience entries.
  • Skills information can be found without reading every project bullet.

Best For

  • Comparing experience with supporting sections
  • Longer academic project entries
  • Education beside other qualifications
  • Quick reference to skills
  • Multiple kinds of resume evidence
 

#7 Photo Header Two Column Format Resume Example

Photo Header Two Column Format combines a photo with a two-column resume body, suiting readers who prefer portrait presentation and divided content areas.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Two body columns let reviewers move between experience and supporting sections.
  • Academic project details stay grouped as experience rather than mixed with skills.
  • Education and recognition retain their own sections within the two-column structure.

Best For

  • Photo-inclusive two-column resumes
  • Experience with supporting sections
  • Academic projects and skills
  • Education with recognition entries
  • Parallel review of resume sections
 
 
 

Why Build Your Data Analyst Intern - Human Services Analytics Resume with ResumeInMinutes

ResumeInMinutes helps you organize coursework, project work, tools, and relevant experience into a resume that is clear to scan and simple to customize.

  • Professional resume layouts
  • Clear section structure
  • Relevant keyword guidance
  • Skills and project organization
  • PNG image previews
  • Resume customization in the editor

Keep the focus on analysis for human services programs. Present your data checks, dashboard work, and plain-language reporting with enough detail for readers to understand your contribution.

 

See Also

 

Frequently Asked Questions

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

Use clear section headings and straightforward formatting so resume systems can read your information. Include relevant terms such as SQL, Excel, Power BI, data validation, KPI reporting, and human services when your experience supports them.

What do the resume previews show?

The PNG previews show how the same resume example looks in different layouts. Open an example in the editor to review its format and customize the content.

What should a Data Analyst Intern - Human Services Analytics resume include?

Include a focused summary, education, relevant project or research experience, technical skills, and certifications. Use concise bullets to describe data cleaning, validation, SQL queries, dashboards, and reporting for nontechnical audiences.

Which resume style works well for this role?

A simple, clearly organized layout helps readers find your skills and project evidence. Choose a format with readable headings and a logical section order, and check that the text remains easy to scan.

Can academic projects support a resume for this role?

Yes. Describe the dataset, methods, tools, and findings from relevant coursework or research. Be clear about your contribution, note data limits, and avoid presenting early observations as confirmed results.

Should I include a photo on my resume?

Include a photo only if it is customary or expected in your country, region, or industry. For U.S. applications, a resume without a photo is generally the safer choice.

ATS Score 94%

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: 35 of 39 (90%) · Resume quality: 100%

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

Details
  • ✓Name present: Reyna Melendez
  • ✓Email format: reyna.melendez@example.com
  • ✓Phone format: (517) 555-XXXX
  • ✓Experience 1: Job title: Health and Human Services Data Analyst, Academic Project
  • ✓Experience 1: Company name: University Project
  • ✓Experience 1: Work location: Lansing, MI
  • ✓Experience 1: Employment dates: Jan 2026 - Oct 2026
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Health Informatics Research Assistant, Faculty-Supervised Project
  • ✓Experience 2: Company name: Academic Research
  • ✓Experience 2: Work location: East Lansing, MI
  • ✓Experience 2: Employment dates: Sep 2025 - May 2026
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Data Analysis Student Project
  • ✓Experience 3: Company name: Course Project
  • ✓Experience 3: Work location: Lansing, MI
  • ✓Experience 3: Employment dates: Jan 2025 - 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
Reyna Melendez
(517) 555-XXXX
reyna.melendez@example.com
reynamelendez
Lansing, MI 48912
SUMMARY
Health Informatics junior with a 3.72 GPA and academic experience analyzing health and human services data. Use SQL and Excel to clean, validate, and summarize program datasets, then present findings through Power BI dashboards and clear charts. Research has examined behavioral health access and family support indicators, including child welfare and child support measures, with careful review of trends, outliers, and data quality. Prepare plain language reports and presentations for nontechnical audiences, and collaborate with faculty and student teams on research and community outreach.
EDUCATION
Bachelor of Science
2026
Great Lakes State University
GPA: 3.72
Lansing, MI
TECHNICAL SKILLS
Microsoft Office: Microsoft Word, Microsoft Excel, Microsoft PowerPoint
Data Visualization: Power BI, Tableau, Microsoft Excel Charts
Query Languages: SQL, T-SQL, PostgreSQL SQL
Relational Databases: Microsoft SQL Server, PostgreSQL, MySQL
Spreadsheet Functions: VLOOKUP, XLOOKUP, PivotTables
Data Formats: CSV, XLSX, JSON
Data Modeling Tools: Microsoft Visio, Lucidchart, draw.io
Web Browsers: Google Chrome, Microsoft Edge, Mozilla Firefox
Operating Systems: Windows 10, Windows 11, macOS
Presentation Tools: Microsoft PowerPoint, Google Slides, Microsoft Word
Statistical Software: R, RStudio, IBM SPSS Statistics
SKILLS
Data analysis
Statistics
Research methods
SQL querying
Relational joins
Excel pivot tables
VLOOKUP/XLOOKUP
Formula-based cleaning
Power BI dashboards
Data validation
KPI reporting
Program reporting
Trend and outlier review
Community outreach
Public speaking
EXPERIENCE
Health and Human Services Data Analyst, Academic Project
Jan 2026 - Oct 2026
University Project
Lansing, MI
Built a Power BI dashboard from de-identified, multi-table health and human services program data, using SQL SELECT queries, filters, aggregations, and joins to compare behavioral health access and child welfare service measures.
Used Excel pivot tables, VLOOKUP/XLOOKUP, and formula-based data cleaning to reconcile reporting fields, validate totals, and flag outliers and data-quality issues before presenting results.
Mapped rows, columns, keys, and tables across source files to document how records flowed between systems, giving classmates and faculty a traceable view of data limitations.
Presented charts, KPI summaries, and plain-language findings to a nontechnical audience at a university health and human services research event; documented follow-up questions and data caveats.
Health Informatics Research Assistant, Faculty-Supervised Project
Sep 2025 - May 2026
Academic Research
East Lansing, MI
Researched social services and family support activities, reviewing public reports on behavioral health, child support, and family-serving programs to inform a faculty-guided program reporting brief.
Cleaned and validated a complex public dataset, checked key fields and missing values, and recorded trends and unusual observations for faculty review rather than treating them as confirmed findings.
Prepared professional communications, research notes, and PowerPoint slides that translated analytic results into clear summaries for readers without technical backgrounds.
Organized multiple research tasks against course deadlines and presented methods and limitations during a student seminar, strengthening public speaking and time-management skills.
Researched data analytics and general business functions through public agency reports, organizing findings in a documented comparison brief for faculty review.
Data Analysis Student Project
Jan 2025 - May 2025
Course Project
Lansing, MI
Analyzed a public health dataset for a statistics and research methods course, applying descriptive analysis and data-cleaning checks to produce accurate tables and charts.
Used Excel and SQL practice queries to sort, filter, aggregate, and compare relational data, then explained the role of rows, columns, keys, and tables in a written project report.
Coordinated a small student team’s community outreach presentation, balancing parallel assignments and turning findings into an accessible handout and short oral briefing.
LEADERSHIP, AWARDS & RECOGNITION
Student coordinator, Health and Human Services Community Outreach Project, 2026; organized research tasks and co-presented practical family-support resources.
Peer study group facilitator, Health Informatics program, 2025-2026; helped classmates review statistics and research methods coursework.
Dean’s List, Great Lakes State University, 2025 and 2026.
Undergraduate Research Poster Recognition, Health and Human Services Student Forum, 2026.
CERTIFICATIONS
Microsoft Excel: Data Analysis and Visualization, Microsoft Learn
2025
Power BI Data Visualization Foundations, Coursera
2026
PROFESSIONAL AFFILIATIONS
Student member, American Health Information Management Association, 2026.
Student member, American Public Health Association, 2026.
LANGUAGES
English (Native)
Spanish (Intermediate)

Matched keywords (35)

  • Health InformaticsOriginal keyword in JD: Current junior pursuing a degree in Data Analytics OR Statistics OR Health Informatics OR Economics OR a related field
  • 3.72 GPAOriginal keyword in JD: GPA of 3.5 or higher
  • Data analysis
  • Statistics
  • Research methods
  • Microsoft Word, Microsoft Excel, Microsoft PowerPointOriginal keyword in JD: Microsoft Word, Excel, and PowerPoint
  • Excel pivot tables
  • VLOOKUP, XLOOKUPOriginal keyword in JD: Excel VLOOKUP/XLOOKUP
  • formula-based data cleaning
  • SQL SELECT queries, filters, aggregations, and joinsOriginal keyword in JD: SQL querying and relational joins
  • SQL SELECT queries, filters, aggregationsOriginal keyword in JD: SQL SELECT statements, filtering, and aggregation
  • Power BIOriginal keyword in JD: Power BI OR Tableau dashboards and visualizations
  • rows, columns, keys, and tablesOriginal keyword in JD: Relational data structures: rows, columns, keys, and tables
  • document how records flowed between systemsOriginal keyword in JD: Data flows between systems
  • Built a Power BI dashboardOriginal keyword in JD: Dashboard and chart development
  • charts, KPI summariesOriginal keyword in JD: KPI and performance metrics reporting
  • Program reporting
  • validate totals, and flag outliers and data-quality issuesOriginal keyword in JD: Data quality review
  • flag outliersOriginal keyword in JD: Trend and outlier identification
  • behavioral health
  • child welfare
  • child support
  • social services and family support
  • Presented charts, KPI summaries, and plain-language findingsOriginal keyword in JD: Clear communication of accurate findings
  • plain-language findings to a nontechnical audienceOriginal keyword in JD: Summarizing findings for nontechnical audiences
  • Prepared professional communications, research notes, and PowerPoint slidesOriginal keyword in JD: Professional communication and documentation
  • Researched data analytics and general business functionsOriginal keyword in JD: Research on data analytics and business functions
  • careful review of trends, outliers, and data qualityOriginal keyword in JD: Attention to detail
  • organizing findings in a documented comparison briefOriginal keyword in JD: Organization
  • balancing parallel assignmentsOriginal keyword in JD: Multitasking
  • time-management
  • collaborate with faculty and student teamsOriginal keyword in JD: Team collaboration
  • community outreach
  • Public speaking
  • health and human services

Missing keywords (4)

  • Data cleaning and validation
  • Large and complex datasets
  • Problem-solving
  • Independent work
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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