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Data Visualization Jobs in Peoria, IL (NOW HIRING)

Data Engineer 1

Peoria, IL ยท On-site

$46.42/hr

This role is responsible for transforming complex data into meaningful insights through data modeling, visualization, statistical analysis, and machine learning techniques. The ideal candidate will ...

Senior Data Scientist

Peoria, IL ยท On-site

$112K - $183K/yr

Experience presenting and reporting business insights to management using data visualization technologies. * Optimize model performance and accuracy to improve effectiveness and business value of ...

Data Engineer

Peoria, IL

$112K - $134K/yr

Data Visualization & Business Storytelling: Power BI/Tableau expertise, executive reporting, data-driven recommendations, and stakeholder presentations. * Cloud & Data Platforms: hands-on experience ...

Data Engineer

Peoria, IL ยท On-site

$112K - $134K/yr

Data Visualization & Business Storytelling: Power BI/Tableau expertise, executive reporting, data-driven recommendations, and stakeholder presentations. * Cloud & Data Platforms: hands-on experience ...

Data Engineer

Peoria, IL ยท On-site

$112K - $134K/yr

Data Visualization & Business Storytelling: Power BI/Tableau expertise, executive reporting, data-driven recommendations, and stakeholder presentations. * Cloud & Data Platforms: hands-on experience ...

Define analytical requirements, conduct research, and communicate actionable insights through data visualization and reporting tools. * Research and optimize data models, algorithms, and analytical ...

Provide financial analytics, operational metrics, and business insights through data visualization, product cost analysis, and management reporting. * Ensure compliance with accounting policies, SOX ...

Principal Data Engineer

Peoria, IL ยท On-site

$128K - $208K/yr

Technology, Digital and Data Your Work Shapes the World at Caterpillar Inc. When you join ... Visualization & Apps - Experience in PowerBI, Power Apps, streamlit, or similar tools. Summary Pay ...

Provide financial analytics, operational metrics, and business insights through data visualization, product cost analysis, and management reporting. * Ensure compliance with accounting policies, SOX ...

Power BI Intern

Peoria, IL ยท On-site

$15/hr

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

Systems Analyst

Peoria, IL ยท On-site

$25 - $40/hr

Data visualization: Ability to create clear and effective visual representations of data. * Project management: Experience managing projects and working with cross-functional teams. * Communication:

Familiarity with marketing automation tools, A/B testing platforms, web analytics, and data visualization tools. Creativity: * Ability to think creatively and develop unique strategies to achieve ...

Systems Analyst

Peoria, IL ยท On-site

$25 - $40/hr

Data visualization: Ability to create clear and effective visual representations of data. * Project management: Experience managing projects and working with cross-functional teams. * Communication:

... Data visualization and reporting tools (Power BI or similar) - KPI development and performance tracking (Desired) - Strategic sourcing experience - Contract and supplier management experience - Cost ...

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Data Visualization information

See Peoria, IL salary details

$53K

$107.4K

$158.5K

How much do data visualization jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data visualization in Peoria, IL is $107,397.00, 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.

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 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:
Infographic showing various Data Visualization job openings in Peoria, IL as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $107,397 per year, or $51.6 per hour.
Data Engineer 1

Data Engineer 1

Epitec

Peoria, IL โ€ข On-site

$46.42/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

  • Location: Peoria, Illinois
  • Type: Contract
  • Job #105409

Job Title: Data Engineer 1
Location: Peoria, IL
Job Type: 12 month, On Going Contract, W2
Expected hours per week: 40 hours per week
Schedule: On-site, 8am-5pm, Monday-Friday
Pay Range: $46.42 per hour
Job Description:
Position Summary
  • We are seeking a Data Engineer to support advanced analytics initiatives by leveraging deep knowledge of enterprise datasets to identify, investigate, and resolve data quality issues. This role is responsible for transforming complex data into meaningful insights through data modeling, visualization, statistical analysis, and machine learning techniques. The ideal candidate will partner with business stakeholders to deliver data-driven solutions that improve decision-making and operational performance.

Key Responsibilities
  • Analyze large and complex datasets to identify data quality gaps, inconsistencies, and opportunities for improvement.
  • Design, develop, and maintain scalable data pipelines, data models, and analytics solutions.
  • Apply statistical methods and business analytics techniques to measure performance, identify trends, and support strategic decision-making.
  • Develop dashboards, reports, and visualizations that communicate insights clearly to technical and non-technical audiences.
  • Utilize machine learning algorithms and predictive analytics models to solve business problems and uncover actionable insights.
  • Gather, analyze, and document business and technical requirements to support data and analytics projects.
  • Collaborate with cross-functional teams to define data governance standards and improve overall data integrity.
  • Perform root cause analysis on data-related issues and implement sustainable corrective actions.
  • Support continuous improvement efforts through automation, process optimization, and advanced analytics methodologies.

Required Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field.
  • Experience working with large-scale datasets, data engineering, analytics, or business intelligence solutions.
  • Strong understanding of statistical analysis, business metrics, and data interpretation.
  • Experience developing and implementing machine learning models and analytical solutions.
  • Proficiency in one or more programming languages such as Python, R, SQL, Java, or similar.
  • Demonstrated ability to perform requirements gathering, analysis, and documentation.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication skills with the ability to present technical findings to business stakeholders.

Preferred Qualifications
  • Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
  • Knowledge of cloud-based data technologies and modern data architectures.
  • Experience with data quality management, data governance, and master data practices.
  • Familiarity with predictive analytics, AI, and advanced statistical modeling techniques.

Core Competencies
  • Business Statistics
  • Analytical Thinking
  • Machine Learning
  • Programming Languages
  • Requirements Analysis
  • Data Visualization & Storytelling
  • Data Quality Management
  • Problem Solving & Continuous Improvement

Benefits: 80 hours paid time off, medical insurance contributions, dental vision and our 401k retirement savings plan
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