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Data visualization analyst resume examples & writing guide for 2026

Three data visualization analyst resumes following one analyst from city dashboards to leading a public health agency's public data, rendered in a real template and annotated line by line. Each counts what a viz lead checks: views and users, load times, accessibility and design standards.

By the Resumi editorial teamUpdated 8 min read

Showing the mid-level example

Data visualization analyst resume example, mid level, rendered in The Jake's template
Strength: Excellent

Written by the Resumi editorial team for a fictional candidate. Role facts come from O*NET and the U.S. Bureau of Labor Statistics.

Strength band is Resumi’s optimization score, not a ranking any employer sees.

What makes this resume work

Each marker on the page has a note here. Press a marker to jump to its note.

  1. 1

    Audience and tools in one line

    Data visualization analyst, public health dashboards, Tableau and ArcGIS. The headline names the audience and both tools, since public health roles often need maps as well as dashboards.

  2. 2

    A public dashboard with its views

    The respiratory illness dashboard, updated every weekday and viewed 380,000 times in 2025. Public dashboards are judged by reach and freshness, and this line gives a number for both.

  3. 3

    Accessibility brought to standard

    Twenty-six public dashboards given alt text, data tables and patterns so all pass Section 508 review. Federal guidance says charts must not rely on color alone, and this shows the fix applied.

  4. 4

    Maps that moved resources

    County overdose maps that 12 partners used to place 30,000 naloxone kits. The best evidence a visualization worked is a decision someone made with it, and this one counted the kits.

  5. 5

    Style guide that shortened review

    A visualization style guide adopted by 40 analysts, cutting review from three weeks to one. Keeping a library of templates and reusable assets is a listed task, and adoption shows it stuck.

  6. 6

    Earlier dashboards tied to reviews

    Thirty city dashboards used in 120 monthly KPI reviews. The consultancy role keeps a single line, and it names the meetings the dashboards served rather than just the count built.

01The example, in full

The resume shown above, as text you can search and copy.

Thaddeus Brightwell

Data visualization analyst, public health dashboards, Tableau and ArcGIS

Denver, COthaddeus.brightwell@example.com(555) 296-4518

Summary

Data visualization analyst with six years building dashboards for public audiences, the last four at a regional public health agency. Designed its respiratory illness dashboard, viewed 380,000 times in 2025, brought 26 public dashboards to Section 508 standard, and cut the dashboard catalog from 140 workbooks to 45.

Experience

Data visualization analyst

Mar 2022 – Present

Front Range Public Health Agency · Denver, CO

  • Designed the agency's public respiratory illness dashboard in Tableau, updated every weekday and viewed 380,000 times in 2025.
  • Led an accessibility overhaul of 26 public dashboards, adding alt text, data tables and patterns so 100% pass Section 508 review.
  • Cut the dashboard catalog from 140 workbooks to 45 by merging duplicates, with an owner assigned to each one.
  • Built county overdose maps in Tableau and ArcGIS that 12 county partners used to place 30,000 naloxone kits.
  • Created a visualization style guide adopted by 40 analysts, cutting dashboard review time from 3 weeks to 1 week.
  • Automated refreshes in Python and SQL for 18 dashboards, saving 40 hours of manual updates a month.

Data visualization analyst

Jun 2020 – Feb 2022

Clear Creek Analytics Group · Denver, CO

  • Built 30 Tableau dashboards for city performance programs, used in 120 monthly KPI reviews.

Education

Bachelor of Science in Statistics and Data Science

Aug 2016 – May 2020

Mile High State University · Denver, CO

Skills

Design
Data Visualization, Dashboard development, Web accessibility, Visualization style guides, KPI reporting
Data
Data governance, Data quality, SQL, Python
Tools
Tableau, ArcGIS, Excel

Certifications

Salesforce Certified Tableau Data Analyst

May 2024

Salesforce

02Market snapshot

Median pay
$120,230 median annual pay for data scientists, the occupation BLS counts business intelligence analysts under
Typical education
Bachelor's degree, the typical entry education for data scientists
Job outlook
+35% for data scientists, 2025–35, about 95,400 more jobs
Common credentials
90 certifications listed, including Microsoft's Power BI Data Analyst Associate, with no Tableau certification among them

Sources: BLS OES (May 2025) · BLS OOH (2025) · CareerOneStop (2026)

03The same resume at three levels

The tinted row is the level shown above.

  • Entry-level

    0–2 years

    The degree leads, then two years of client dashboards in four counted bullets: dashboards usability tested and used by city staff, a slow dashboard made fast, accessible chart templates, and refreshes automated. The internship keeps one line on a public story with its view count.

    Typical titles: Data visualization analyst I, Dashboard analyst, Reporting and visualization analyst

  • Mid-level

    3–6 years

    The default view. Six years in the units a visualization lead weighs: a public dashboard with its views, accessibility brought to standard, a catalog cut to what is owned, maps that drove field decisions, a style guide that shortened review, and refreshes automated. The consultancy role keeps one line.

    Typical titles: Data visualization analyst, Data visualization specialist, Dashboard developer

  • Senior

    7+ years

    Leading the practice replaces building every view: three analysts on 45 dashboards, a public standard adopted across programs, server governance with load times, staff trained to publish within the style guide, and an open data portal launched. The two earlier roles keep one line each.

    Typical titles: Senior data visualization analyst, Data visualization lead, Visualization manager

04Summary

Weak

Creative data visualization professional skilled in Tableau and Power BI who loves turning complex data into beautiful, easy-to-understand dashboards.

Strong

Data visualization analyst with six years building dashboards for public audiences, the last four at a regional public health agency. Designed its respiratory illness dashboard, viewed 380,000 times in 2025.

A visualization lead reads for the audience you design for, the tools and evidence that people used the work. The strong version names a public audience, a specific dashboard and its views. The weak version names two tools and an adjective, which every applicant can claim.

05Bullets

Weak

  • Created visually appealing dashboards and reports for various departments to help them understand their data better.

Strong

  • Led an accessibility overhaul of 26 public dashboards, adding alt text, data tables and patterns so 100% pass Section 508 review.

Federal accessibility guidance says charts must not rely on color alone and must use patterns, labels or other indicators. The strong bullet names the dashboards, what changed and the review they now pass. The weak bullet says the dashboards looked good, which tells a hiring lead nothing about who could actually use them.

06Skills and keywords

Design and communication

  • Data Visualization (in the example)
  • Dashboard development (in the example)
  • Data storytelling
  • Visualization style guides (in the example)
  • Web accessibility (in the example)
  • Usability testing

Data

  • SQL (in the example)
  • Python (in the example)
  • Data governance (in the example)
  • Data quality (in the example)
  • KPI reporting (in the example)
  • Open data publishing

Tools and credentials

  • Tableau (in the example)
  • Power BI
  • ArcGIS (in the example)
  • Tableau Server
  • D3.js
  • Figma
  • Salesforce Certified Tableau Data Analyst (in the example)
  • Microsoft Certified: Power BI Data Analyst Associate (PL-300)

Filled chips appear in the example above.

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07Mistakes to avoid

  1. Percentages nobody could measure

    Fix: Competitor samples claim dashboards increased data accessibility by a percentage. Count what you can check instead: views, monthly users, load times, review rounds or the decisions a dashboard fed, such as kits placed or programs adopting a standard.

  2. Color doing all the work

    Fix: Federal accessibility guidance says charts must not rely on color alone and must add patterns, labels or other indicators. If you design for public or government audiences, say which standard your dashboards pass and what you changed to get there.

  3. Dashboards counted, not used

    Fix: A list of dashboards built says nothing about whether anyone opened them. Give views, regular users or the meetings that run on each one, and retire or merge what nobody uses. Fewer owned dashboards often reads stronger than a long list.

  4. Tools with no design decisions

    Fix: Practitioners describe the job as data, design and tools together. A skills line of Tableau and Power BI shows only the third. Name a design choice in a bullet, such as a palette, a layout standard or a style guide, and what it changed.

  5. No public work to look at

    Fix: Visualization analysts often get hired on work a reviewer can open. Link a portfolio such as Tableau Public in the header, and in each bullet say what the piece shows. A practitioner at a large fund says his own portfolio projects brought his employer to him.

08Format and template

One column and one page, in the order summary, experience, education, skills, certifications. Put your audience and main tools in the headline, give views, users, load times and review time as text, and name the accessibility standard your work meets. Link a public portfolio in the header, and keep charts out of the resume file itself, since screening software reads only the text.

Shown above: The Jake's

  • Standard template
    StandardFree
  • Executive Classic template
    Executive Classic
  • Warm Classic template
    Warm Classic

09Questions data visualization analysts ask

Is a data visualization analyst the same as a business intelligence analyst?

O*NET has no separate visualization occupation, so the closest is business intelligence analysts, whose top tasks are generating reports for executives and maintaining dashboards and tools. BLS counts them among data scientists, who use data visualization software to present findings. In practice, visualization roles lean toward design, accessibility and public audiences, while BI roles lean toward data models and governed reporting.

How much do data visualization analysts make?

BLS has no separate figure, and O*NET's wage panel for business intelligence analysts shows data scientists' pay: a median of $120,230 in May 2025, with the lowest tenth under $67,240 and the highest tenth over $199,130. By industry, publishing and broadcasting paid $142,240 and computer systems design $132,380. Public sector visualization roles read for this page posted lower ranges.

Should I learn Tableau or Power BI?

Both appear often. In O*NET's count of 2025 postings for business intelligence analysts, Power BI shows up in 20 percent, Tableau in 19 and SQL in 35. CareerOneStop lists Microsoft's Power BI Data Analyst Associate but no Tableau certification for the code, and practitioners in the Data Visualization Society name Tableau as their favorite tool. Learn the one your target employers use, and SQL either way.

Do I need a portfolio for data visualization jobs?

It helps a great deal. A public portfolio lets a reviewer open your work instead of imagining it, and practitioners describe portfolio projects as what drew their employers. Link it in the header, keep each piece short and labeled, and repeat the result in your resume text, such as views or users, because screening software reads the words, not the charts.

What accessibility rules apply to dashboards?

For government and many public audiences, Section 508. Federal guidance says charts must not use color as the only way to convey information and should add patterns, labels or other indicators, and text must meet contrast minimums. Accessibility for people with disabilities is also an emerging concern in the Data Visualization Society's survey. Name the standard you design to in your bullets.

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