Salaries in United States2026 Salary Report

Data Visualization Specialist salary in United States.

Operating as a professional Data Visualization Specialist involves taking ownership of core delivery metrics and executing scalable industry practices. They integrate smoothly into distributed corporate structures, ensuring strategic metrics are met. Continuous scaling opportunities exist for experts ready to adapt to shifting technological demands.

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$93,900Estimated annual average
$5,947Estimated monthly take-home
$29.34–$69.97Hourly equivalent range
22 Jul 2026Last benchmark update
Compensation overview

One role, four useful reference points.

Salary ranges reflect different experience levels. Actual offers can vary with company size, industry, location, contract type, specialized skills, benefits, equity, and negotiation.

High accuracy160 recent reports confirm this estimateUpdated 22 Jul 2026
Average salary
$93,900Annual benchmark
Junior
$58,400–$78,0000-2 years
Mid-level
$76,300–$113,5003-5 years
Senior
$111,800–$176,4006+ years

Earnings breakdown

Monthly take-homeEstimated after an average 24% tax rate
$5,947
Hourly equivalentBased on a standard 40-hour week
$29.34–$69.97
Potential annual bonusIllustrative 10–15% performance range
$9,390–$14,085

Planning reference

Monthly savings target32% illustrative allocation
$2,500
Retirement contribution11% illustrative allocation
$900
Housing budgetIllustrative 20% monthly ceiling
Up to $1,600
Emergency fundThree to six months of gross income
$23,475–$46,950

Healthcare infrastructure

Private-market healthcare estimateIllustrative annual allowance for medical, dental, and vision insurance in a private-tier employment or contractor market
≈ $5,634/year
Salary visualization

See the benchmark from three angles.

Downloadable charts show experience ranges, salary progression, and an illustrative monthly allocation. Select any chart to view it at full size.

Salary ranges by experience for Data Visualization Specialist in United States
Salary rangesEnlarge
Salary progression by experience for Data Visualization Specialist in United States
Experience growthEnlarge
Illustrative monthly salary allocation for Data Visualization Specialist in United States
Monthly allocationEnlarge
12-month trend

How the estimate has moved.

The estimated average changed by 5.7% over the displayed period, moving from $88,800 to $93,900.

PeriodAnnualHourly
Aug 2026$93,900$29–$70
Jul 2026$96,600$30–$72
Jun 2026$97,600$31–$73
May 2026$93,400$29–$70
Apr 2026$94,800$30–$71
Mar 2026$90,100$28–$67
Feb 2026$92,900$29–$69
Jan 2026$94,300$29–$70
Dec 2025$91,500$29–$68
Nov 2025$90,100$28–$67
Oct 2025$95,300$30–$71
Sep 2025$88,800$28–$66
Current opportunities

Move from research to the live market.

These current remote openings provide additional context for titles, employers, and the way this role appears in active hiring.

Career profile

What shapes success in this role.

Education is only one signal. Skills, tools, collaboration habits, work environment, and continued learning often have equal influence on compensation and progression.

Education requirements

Master's degree or Bachelor's in Statistics, Data Science, Mathematics, or Computer Science

Training and development

Industry conference participation support
Regular code reviews and feedback sessions
Structured career development path with clear milestones

Core skills

Problem-solvingAnalytical MindsetTime ManagementQuantitative MethodsRInformation Security AwarenessDocumentation

Trending and emerging skills

Cross-platform SyncMachine Learning PipelinesAutomationSaaS PlatformsFeature Store ImplementationETL ProcessesVirtual CooperationLLM Fine-tuningGraph Data Science Modeling

Work specifics

Remote-first setup with completely autonomous hours
Asynchronous delivery paths coupled with structured platform check-ins
Flexible with baseline core hours aligned to North American time zones (EST/PST)
SQL Studio
Asana
ClickUp
Figma
PowerBI
Databricks
Slack

Common and additional benefits

Remote Work Options
Flexible Hours
Home Office Allowance
High-end Hardware Budget
Learning & Development Stipend
Mental Health Support
Coworking Space Access
Internet Allowance
Market intelligence

Demand beyond the salary range.

Compensation is influenced by hiring pressure, growth, remote availability, industry demand, and the scarcity of relevant skills.

Demand

Very High

Current hiring-demand signal for this role across the tracked market.

Growth

25% annual growth

Estimated direction of role demand and compensation opportunity.

Remote work

Very High

Growing adoption of hybrid work models allowing flexibility between office and remote work, with 2-3 days of remote work becoming standard

Key industries

IoTAutomotive TechFinTechHealthcareTelecommunicationsTechnologyCybersecurityData Analytics
Cross-country pay scale

See how the same role changes by market.

These comparisons apply Jobicy’s country multipliers to the same role model. Differences reflect market context rather than currency conversion alone.

Questions answered

Frequently asked questions.

Quick answers about salary, hourly rates, skills, market outlook, and benefits for this role.

What is the average Data Visualization Specialist salary in United States?

The estimated average annual salary is $93,900. Junior roles are estimated at $58,400–$78,000, while senior roles are estimated at $111,800–$176,400.

What is the hourly rate for this role?

The estimated hourly equivalent is between $29.34 and $69.97 based on a standard full-time schedule. Contract rates may differ.

Which skills are most relevant?

Core skills include Problem-solving, Analytical Mindset, Time Management, Quantitative Methods, R. Trending and emerging requirements include Cross-platform Sync, Machine Learning Pipelines, Automation, SaaS Platforms, Feature Store Implementation.

What is the market outlook?

Jobicy currently classifies demand as Very High, with a growth signal of 25% annual growth. Availability differs by industry, country, and employer.

Are these salary estimates guaranteed?

No. The figures are informational benchmarks based on market evidence and economic adjustments. Actual compensation depends on experience, skills, location, employer, contract type, benefits, and negotiation.

Methodology

How this estimate is prepared.

Jobicy combines multiple sources and exposes the assumptions so salary benchmarks can be used as context rather than mistaken for guaranteed compensation.

01

Market evidence

Public labor statistics, active job listings, compensation databases, labor-market research, and anonymous salary submissions.

02

Country adjustment

Role data is adjusted using currency, purchasing power, estimated tax conditions, and local economic indicators for United States.

03

Range and review

Experience bands and historical trends are calculated, then refreshed as new market evidence becomes available.

Data sources and disclaimer

Sources include BLS, Eurostat, ILOSTAT, OECD, World Bank Open Data, public compensation databases, current job postings, and anonymous Jobicy reports. Salary and financial calculations are informational only and do not constitute financial, legal, or tax advice. Read the full methodology →

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