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Data Visualization Jobs in Urbana, IL (NOW HIRING)

Data Analysis Tutor

Champaign, IL · Remote

$18 - $40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Data Science Tutor

Champaign, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Experience in Scrum and other Agile Software Development methodologies is helpful Knowledge of the C/C++ programming language is helpful but not required Experience in data visualization or data ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Microsoft Excel Tutor

Champaign, IL · Remote

$18 - $40/hr

Deep knowledge of spreadsheet design, formulas and functions including VLOOKUP, INDEX-MATCH, IF, SUMIFS, and array formulas, pivot tables, data visualization with charts, conditional formatting, data ...

Deep knowledge of presentation design, storytelling techniques, slide creation best practices, data visualization, audience engagement strategies, delivery techniques, and virtual presentation tools.

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Data Visualization information

See Urbana, IL salary details

$54.3K

$110.2K

$162.5K

How much do data visualization jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data visualization in Urbana, IL is $110,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $123,800.00 per year, depending on experience, location, and employer.

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a Data Visualization Specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
What are popular job titles related to Data Visualization jobs in Urbana, IL? For Data Visualization jobs in Urbana, IL, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Urbana, IL look for? The top searched job categories for Data Visualization jobs in Urbana, IL are:
What cities near Urbana, IL are hiring for Data Visualization jobs? Cities near Urbana, IL with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Urbana, IL as of July 2026, with employment types broken down into 50% Full Time, 33% Part Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $110,156 per year, or $53 per hour.
Visiting Research Data Scientist - Illinois Fire Service Institute

Visiting Research Data Scientist - Illinois Fire Service Institute

University of Illinois

Urbana, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Duties & Responsibilities
  • Data Management and Integration
    Integrate, manage, and curate complex, multi-source datasets, including survey data, occupational and environmental exposure data, physiological measurements, biomarker and laboratory assay data, and clinical and longitudinal research data.
    Develop and maintain secure, organized, and scalable data infrastructure for longitudinal research studies.
    Design and maintain reproducible data pipelines, workflows, and comprehensive documentation.
    Develop and maintain data dictionaries, codebooks, metadata documentation, and standard operating procedures.
    Perform data cleaning, validation, quality control, and auditing procedures to ensure data integrity and consistency.
    Coordinate data integration across multiple research platforms and collaborating institutions.
    Establish reproducible analytical workflows using version control and best practices in computational research.
  • Statistical & Computational Analysis
    Perform statistical analyses of longitudinal, repeated-measures, and complex observational datasets.
    Apply advanced statistical, multivariate, and machine learning methods, including regression modeling, mixed-effects models, clustering, dimensionality reduction, predictive modeling, and classification algorithms.
    Identify, model, and interpret relationships between occupational or environmental exposures and biological responses.
    Address confounding, bias, and missing data using appropriate analytical approaches, sensitivity analyses, and model diagnostics.
    Develop analytic strategies for biomarker, epidemiologic, and translational research studies.
    Generate high-quality statistical summaries, figures, tables, and visualizations for scientific publications, presentations, and reports.
    Assist investigators with interpretation and communication of analytical findings.
  • Collaboration & Research Support
    Collaborate closely with investigators and multidisciplinary research teams to translate scientific questions into rigorous analytical plans.
    Support preparation of manuscripts, conference abstracts, technical reports, and peer-reviewed publications.
    Contribute to grant proposals through preliminary analyses, data visualization, and methodological input.
    Participate in study meetings and scientific discussions regarding study design, analytical strategies, and interpretation of results.
    Coordinate with laboratory personnel, statisticians, clinicians, and external collaborators regarding data transfer, formatting, and harmonization.
    Ensure compliance with IRB requirements, HIPAA regulations, data-use agreements, institutional data governance policies, and human-subjects research protections.
  • Data Systems & Automation
    Develop automated scripts and computational workflows to improve efficiency, reproducibility, and scalability of data processing and analysis.
    Support maintenance and optimization of REDCap databases and related data management systems.
    Build and maintain dashboards, reporting tools, and data visualization platforms as needed.
    Implement version control and reproducible research practices using platforms such as Git/GitHub.
    Assist in developing infrastructure for secure data storage, sharing, and collaborative analysis.

University of Illinois logo

About University of Illinois

Sourced by ZipRecruiter

The University of Illinois, located in Urbana, Illinois, US, is a prominent entity in the higher education sector. Operating its official functions through its website uillinois.edu, the institution provides a range of educational programs and services. The University was founded in 1867 and has since grown dramatically both in size and reputation. Its core values are embodied in its mission to enhance the lives of its students and citizens in the state, nation, and world through leadership in learning, discovery, engagement, and economic development. The university boasts several notable achievements including producing Nobel laureates and Pulitzer prize winners. It is renowned for its research programs and is known for significant advancements across various fields including engineering, science, and humanities.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Urbana, IL, US

Year founded

1974

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