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Data Visualization Jobs in Peoria, IL (NOW HIRING)

PROLIM Global Corporation

Data Engineer

Peoria, IL · On-site

$112K - $135K/yr

We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong expertise in Python, SQL, Spark ...

Bespoke Labs

Data Engineer

Peoria, IL · On-site

$112K - $134K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

MAUI JIM, Inc.

Senior Analytics Developer

Peoria, IL · On-site

$90K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Translate business analytical needs into data modeling requirements to enable effective data structures for reporting and analytics. * Manage and optimize processes for visualization design, design ...

Maui Jim

Senior Analytics Developer

Peoria, IL · Hybrid

$90K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Translate business analytical needs into data modeling requirements to enable effective data structures for reporting and analytics. * Manage and optimize processes for visualization design, design ...

Caterpillar

Senior Digital Product Owner

Peoria, IL · On-site

$112K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Technology, Digital and Data Your Work Shapes the World at Caterpillar Inc. When you join ... and visualization or related occupation. Additionally, the applicant must have employment ...

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Showing results 21-40

All JobsData Visualization JobsData Visualization Jobs in Peoria, IL

Data Visualization information

See Peoria, IL salary details

$53K

$107.4K

$158.5K

How much do data visualization jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data visualization in Peoria, IL is $107,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,300.00 and $120,700.00 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.

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.

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 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 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.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with skills in tools like Tableau, Power BI, or D3.js. Salaries vary based on experience, location, and industry, but the role is generally well-compensated compared to other entry-level tech positions.

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 jobs use data visualization?

Data visualization is used in a variety of roles such as data analyst, business intelligence analyst, data scientist, and dashboard developer. These jobs require skills in tools like Tableau, Power BI, or Excel to interpret and communicate data insights effectively.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in presenting insights effectively to stakeholders.
More about Data Visualization jobs

What job categories do people searching Data Visualization jobs in Peoria, IL look for?

The top searched job categories for Data Visualization jobs in Peoria, IL are:

What cities near Peoria, IL are hiring for Data Visualization jobs?

Cities near Peoria, IL with the most Data Visualization job openings:

Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Peoria, IL as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $107,391 per year, or $51.6 per hour.

Data Scientist II - Data Algorithms & Optimization

Jobtailor

Peoria, IL • On-site

$110 - $160/hr

Other

Posted 14 days ago

Job description

Responsibilities
  • Design, develop, and maintain advanced analytical models, including machine learning and statistical approaches, to support digital products and enterprise initiatives.
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement.
  • Partner with cross‑functional teams to define analytical requirements and translate business questions into data science solutions.
  • Support data quality initiatives by validating data sources, identifying gaps, and recommending improvements.
  • Communicate insights and model results clearly to technical and non‑technical stakeholders.
  • Contribute to continuous improvement of analytics tools, methodologies, and best practices within Cat Digital.
Requirements
  • Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree.
  • Extensive hands‑on experience: applying Python programming to solve business challenges.
  • Advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.
  • Practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
  • Working with generative AI, with an understanding of strengths, limitations, and responsible use considerations.
  • Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.
  • In‑depth technical and problem‑solving skills and evidence of continuous learning in the analytics field.
  • Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.).
  • Advanced experience with version control / repositories such as GitHub.
  • Experience operating in an Agile environment.
  • Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
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