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Data Visualization Jobs in Chicago, IL (NOW HIRING)

Use SQL to query databases and retrieve data; apply Excel and visualization tools to explore and communicate findings. * Validate analytical work for accuracy and completeness; document methodologies ...

Data Visualization & Dissemination; Analytics Engineering & Architecture; Business Intelligence and Strategy (BI Engineer, BI Developer, BI Analyst, Data Strategist). * Subject matter expertise and ...

Data Visualization & Dissemination; Analytics Engineering & Architecture; Business Intelligence and Strategy (BI Engineer, BI Developer, BI Analyst, Data Strategist). * Subject matter expertise and ...

Data Visualization & Dissemination; Analytics Engineering & Architecture; Business Intelligence and Strategy (BI Engineer, BI Developer, BI Analyst, Data Strategist). * Subject matter expertise and ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

... Data visualization • Understanding of the healthcare industry • Azure, Google, AWS or other cloud-platform experience • SDLC Tools & Processes: JIRA, Docker, Git-flow, Puppet, or similar ...

Experience with Data Visualization tools such as PowerBI, Tableau or Qlikview * Experience with SQL (Microsoft, Oracle, PL-SQL, MySQL etc.), including the creation of complex views, stored procedures ...

Proficiency with data visualization tools (Tableau or Power BI) and complex financial modeling in Excel Preferred Qualifications * MBA or Master's degree in Data Science, Financial Engineering, or ...

Experience with Data Visualization tools such as PowerBI, Tableau or Qlikview * Experience with SQL (Microsoft, Oracle, PL-SQL, MySQL etc.), including the creation of complex views, stored procedures ...

Experience with Data Visualization tools such as PowerBI, Tableau or Qlikview * Experience with SQL (Microsoft, Oracle, PL-SQL, MySQL etc.), including the creation of complex views, stored procedures ...

Experience with Data Visualization tools such as PowerBI, Tableau or Qlikview * Experience with SQL (Microsoft, Oracle, PL-SQL, MySQL etc.), including the creation of complex views, stored procedures ...

Data Visualization * Reporting * Dashboard Development * Data Cleaning * Problem Solving Preferred Skills * Python * R Programming * Power Query * ETL * MySQL * PostgreSQL * Microsoft SQL Server

Showing results 21-40

Data Visualization information

See Chicago, IL salary details

$55.7K

$112.8K

$166.5K

How much do data visualization jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data visualization in Chicago, IL is $112,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $126,800.00 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.

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.

What are the most commonly searched types of Data Visualization jobs in Chicago, IL?

The most popular types of Data Visualization jobs in Chicago, IL are:

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

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

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

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

Infographic showing various Data Visualization job openings in Chicago, IL as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $112,839 per year, or $54.2 per hour.

Data Analyst

Hoffman Estates, IL • On-site

PartsSource
Software Development • 201 - 500 employees

Full-time

Medical, Retirement

Posted 16 days ago


PartsSource rating

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

PartsSource is the leading technology and software platform for managing mission-critical healthcare equipment. Trusted by over 5,000 US hospitals and 15,000 clinical sites, PartsSource empowers providers and service organizations to maximize clinical availability for patient care and automates the procurement of parts, services and training through a unique digital experience.
PartsSource team members are deeply committed to our mission of Ensuring Healthcare is Always On®, which is foundational to our success and growth. Our vibrant culture is built upon aligned values, shared ownership, mutual respect, and a passion for collaborating to solve complex customer problems.
About the Job Opportunity
The Data Analyst supports PartsSource's growth and operational excellence by transforming raw data into actionable insights. Working with business stakeholders across sales, operations, product, and finance, you will conduct detailed analyses on customer behavior, operational metrics, and business opportunities-identifying patterns, trends, and optimization opportunities. This role combines technical data skills with business acumen to answer complex questions, support strategic decisions, and uncover new value creation opportunities. You'll develop repeatable analytical processes, document findings clearly for diverse audiences, and stay curious about how emerging tools-including AI-can enhance analytical quality and efficiency.
What You'll Do
Data Preparation & Analysis
  • Extract, clean, and organize data from multiple sources to prepare datasets for analysis.
  • Conduct detailed quantitative analyses to identify patterns, trends, and insights that address specific business questions.
  • Use SQL to query databases and retrieve data; apply Excel and visualization tools to explore and communicate findings.
  • Validate analytical work for accuracy and completeness; document methodologies and assumptions clearly.

Reporting & Communication
  • Develop clear, compelling reports and dashboards that translate complex findings into actionable recommendations for business stakeholders.
  • Prepare written summaries of analytical findings with clear explanations of methodology, assumptions, and business implications.
  • Present analyses and recommendations to cross-functional teams and leadership, tailoring communication to audience and context.
  • Collaborate with stakeholders to understand analytical needs and define scope for data projects.

Process Improvement & Tool Development
  • Identify opportunities to streamline analytical workflows and reduce manual work through better processes or automation.
  • Create and document repeatable analysis templates, queries, and workflows that enable consistent output and knowledge sharing across the team.
  • Stay current with emerging analytical tools and methodologies, including practical applications of AI; experiment with new approaches to enhance efficiency and insight quality.
  • Support team members in understanding analytical methodologies and best practices.

Cross-Functional Partnership
  • Work with sales, operations, product, and finance teams to understand their analytical needs and deliver insights that support business decisions.
  • Translate between technical analytical concepts and business language to ensure clarity and alignment.
  • Contribute ideas for how data and analytics can create competitive advantage across PartsSource's business.

What You'll Bring
Your Background
  • Bachelor's degree in data science, mathematics, economics, business, engineering, or a related quantitative field.
  • 2-4 years of experience in data analysis, business analysis, financial analysis, or similar analytical roles.
  • Proficiency with SQL for data extraction and query writing; demonstrated ability to work with relational databases.
  • Strong Excel skills including pivot tables, VLOOKUP/INDEX-MATCH, data visualization, and analysis.
  • Ability to translate business questions into analytical approaches; comfort working with ambiguity and defining scope.
  • Strong attention to detail, organizational skills, and ability to manage multiple analytical projects with competing priorities.
  • Excellent written and verbal communication skills; ability to explain analytical findings clearly to non-technical audiences.
  • Intellectual curiosity about data, analytics, and emerging tools; self-starter who learns new methodologies independently.

Preferred
  • Experience with Python or R for data manipulation and statistical analysis.
  • Familiarity with data visualization tools (Tableau, Power BI) or BI platforms.
  • Experience in SaaS, healthcare, or subscription/managed service business models.
  • Hands-on experience with AI tools (Claude, ChatGPT, etc.) and understanding of how they can enhance analytical work.
  • Experience developing dashboards or creating repeatable analytical processes.

Who We Want to Meet
Act Like an Owner
You take responsibility for the accuracy and quality of your analyses. You validate your work, document your methodologies clearly, and follow through on analytical commitments. Accountability & Execution, Results Driven
When data doesn't tell a clear story or you uncover an unexpected pattern, you dig deeper rather than accepting surface-level interpretations. Accountability & Execution, Curiosity & Problem Solving
Serve with Purpose
You understand that your analysis supports business decisions that impact PartsSource's customers and strategy. You bring analytical rigor and integrity to every project. Clear & Critical Thinking, Active Listening
You communicate analytical findings clearly to non-technical audiences, translating complexity into actionable insights that resonate with business stakeholders. Relationship Management, Communication
Adapt to Thrive
You learn new tools, methodologies, and analytical approaches independently and apply feedback constructively to improve your work. Learning Agility, Resilience
You're curious about how emerging tools like AI can enhance your analytical processes, and you actively experiment with new approaches to improve efficiency and insight quality. Learning Agility, Innovation
Collaborate to Win
You work effectively with cross-functional teams, asking clarifying questions to understand business needs and tailoring your analysis and communication to different audiences. Team Orientation, Alignment & Cohesion
You document your work and share knowledge with teammates, creating repeatable processes that amplify the team's impact. Collaboration, Continuous Improvement
Challenge the Status Quo
You notice when analytical processes are inefficient and bring ideas for how to streamline workflows, reduce manual work, or improve consistency across analyses. Curiosity & Problem Solving, Continuous Improvement
You ask why certain questions matter to the business and propose new analytical approaches that create value. Initiative, Critical Thinking
Benefits & Perks
  • Competitive compensation package with salary, incentives, company ownership/equity, and comprehensive benefits (401k match, health, college debt reduction, and more!)
  • Career and professional development through training, coaching and new experiences.
  • Hybrid culture with new & beautiful workspaces that balance flexibility, collaboration, and productivity.
  • Inclusive and diverse community of passionate professionals learning and growing together.

Interested?
We'd love to hear from you! Submit your resume and an optional cover letter explaining why you'd be a great fit.
About PartsSource
Since 2001, PartsSource has evolved into the leading technology and software platform for managing mission-critical equipment, serving over half of the U.S. hospital infrastructure. Our digital systems modernize and automate the procurement of parts, services, technical support, and training for HTM professionals to efficiently and effectively maintain their mission-critical equipment. PartsSource employs over 700 employees nationwide that committed to supporting healthcare providers and ensuring healthcare always on.
In 2021, Bain Capital invested in the business, further accelerating our growth and positive impact within the healthcare industry.
Read more about us here:
• PartsSource Named to Newsweek's List of the Top 200 America's Most Loved Workplaces for 2024
• PartsSource® Named Among the Top 50 Healthcare Technology Companies of 2025
• PartsSource® Named Among the Top 25 Healthcare Software Companies of 2025
• PartsSource President and CEO Philip Settimi Named to Top 50 Healthcare Technology CEO List 2025
• WSJ: Bain Capital Private Equity Scoops Up PartsSource
EEO
PartsSource, Inc., and its affiliates and subsidiaries, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Legal authorization to work in the U.S. is required.

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