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Data Visualization Jobs in Ohio (NOW HIRING)

SierTeK proudly serves our clients by providing expertise in the Program Management, Information Technology, and Administrative Support domains. Founded in 2007 as a minority and service-disabled ...

COTA's Lead Data Visualization Designer serves as the organization's technical expert for Power BI, responsible for enforcing enterprise standards, managing the analytics portfolio, and ensuring data ...

Other DATA VISUALIZATION SPECIALIST Wright Patterson AFB, OH About Us Laredo Technical Services, Inc. provides staffing services to federal Government agencies all over the world. LTSI connects the ...

Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience understanding and solving real business problems * Have experience with ...

Serve as a functional and technical data visualization and business intelligence subject matter expert. * Translate business analysis and business needs into prototype concepts for reports and ...

Serve as a functional and technical data visualization and business intelligence subject matter expert. * Translate business analysis and business needs into prototype concepts for reports and ...

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Data Visualization information

See Ohio salary details

$51.3K

$104.1K

$153.5K

How much do data visualization jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data visualization in Ohio is $104,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $116,900.00 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 Ohio?

The most popular types of Data Visualization jobs in Ohio are:

What cities in Ohio are hiring for Data Visualization jobs?

Cities in Ohio with the most Data Visualization job openings:

Infographic showing various Data Visualization job openings in Ohio as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $104,054 per year, or $50 per hour.

Data Visualization Engineer - Advanced Engineering

Heath, OH • On-site

Kaiser Aluminum
Construction • 5 - 10K employees

Full-time

Re-posted 2 days ago


Kaiser Aluminum rating

7.4

Company rating: 7.4 out of 10

Based on 30 frontline employees who took The Breakroom Quiz


Job description

Kaiser Aluminum is known around the world for its superior quality. Our secret is what we put into it-innovative thinking, industry-leading reliability, and a world-class commitment to customer service. In short, the same qualities we look for in our people.We are looking for aManufacturing Data Visualization Engineer to join our Advanced Engineering team inNewark Ohio or Kalamazoo Michigan!

"Engineers and scientists who develop software to solve real world manufacturing problems."

Kaiser Aluminum is seeking a Manufacturing Data Visualization Engineer to improve operational performance by turning manufacturing and production data into clear, practical visualizations for operators, supervisors, and engineers. As a member of the Intelligent Factory Team, this role develops and maintains near real-time dashboards, performance boards, and decision-support tools that support safe, consistent, and data-driven execution across the value stream.

The successful candidate will combine strong software and visualization skills with a practical understanding of industrial operations to deliver user-centered tools that improve situational awareness, adherence to standard work, escalation response, and continuous improvement outcomes.

Visualizations are built reusing Kaiser's Intelligent Factory Solution (IFS) architecture. The software stack includes Microsoft SQL, MongoDB and Inductive Logic Historian for data storage; deviceWISE as the configurable middleware transport layer, Inductive Automation Ignition (Python and Java) as UI along with programmable logic controllers. Candidates will understand and support the architecture, software, and continued product evolution at Kaiser Aluminum's North American facilities.

What you will work on:

  • Design, develop, and maintain standard dashboards that clearly communicate equipment status, process conditions, production progress, quality indicators, and constraints in a near real-time format
  • Translate plant operating needs into intuitive visual elements (e.g., status states, trends, thresholds, alerts, control limits, and "at-a-glance" health indicators)
  • Partners with operations leaders and subject matter experts to define standard visualization patterns (e.g., common layouts, naming, color conventions, alarm prioritization, and KPI definitions) to drive consistent interpretation across manufacturing lines and shifts
  • Implement visual management tools for daily management routines (shift handoff, tier meetings, performance boards, escalation cues, action tracking)
  • Build and support standardized reporting and visualization for KPIs such as OEE components, throughput, downtime categorization, yield/scrap, rework, cycle time, schedule attainment, and other plant-defined metrics
    • Operators (simple, actionable, immediate)
    • Supervisors/engineers (trends, comparisons, Pareto views, drill-down)
  • Collaborate on visualization design such that existing best practices are reused
  • Develop reusable visualization components and templates so new areas/lines can be enabled quickly with minimal custom development
  • Develop and maintain data access utilities and curated interfaces (e.g., standardized queries, semantic layers, pre-defined extracts, governed KPI definitions) that allow users to retrieve the right information without needing deep technical skills
  • Collaborate with data engineering / OT / IT resources to ensure visualization tools are built on trusted, governed data sources while minimizing duplication or manual workarounds
  • Provide documentation, training, and user guidance to support adoption and sustained use of visualization tools
  • Ensure dashboards and visualization tools are reliable, performant, and maintainable (version control, change management, release notes)
  • Maintain alignment with cybersecurity, access control, and data governance requirements
  • Strong working knowledge of data structures and querying (e.g., SQL, time-series concepts), with the ability to work effectively with historians and operational datasets
  • Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases

What you will bring to the position:

  • Bachelor's degree in Software Engineering, Computer Science, Industrial Engineering, or related discipline; or equivalent experience
  • Five years' visualization development experience, preferably in manufacturing or industrial settings
  • Minimum three to five (3-5) years of experience working with process engineers/business analysts to translate functional requirements into technical requirements and making architectural decisions
  • Competent with T-SQL and database theory and structures
  • Demonstrated experience with Python; Java is a plus
  • Basic knowledge in networking and client-server transactions
  • Broad contemporary understanding of information technologies and trends
  • Demonstrated experience with MBSE and documentation, sysML or like
  • Strong communications skills with ability to clearly articulate, collaborate and substantiate recommendations with team and illustrate and propose design concepts prior to software construction
  • Ability to produce high quality, well documented, thoroughly tested, and efficient applications and reports
  • Ability to work incrementally and comfortable with collaboration and peer review
  • Use Software Development Lifecycle (SDLC) to incrementally evolve a system in phases
  • Proven ability to manage concurrent development tasks
  • Excellent problem solving, investigative, experimental, and statistical analysis skills
  • Manufacturing experience is a plus. Exposure to Digital Twins a plus

Work environment in the plant:

  • Approximately 90% of the job function is performed in an office setting requiring normal safety precautions, while 10% of the job function is in the plant, however this may vary by project. There is exposure to operating machinery and a manufacturing environment
  • Travel may be required, on average not exceeding 15% of the time and is project driven

No third-party candidate submissions are being accepted at this time for this opening.

We are an equal opportunity employer. All applicants will be considered based on job-related qualifications and abilities. There shall be no discrimination on the basis of age, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, veteran, or disability status.

About Kaiser Aluminum: Talented people join our team because we are a company passionate about environmental sustainability, employee growth, contributing back to our communities and championing an inclusive culture.


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