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Data Visualization Jobs in Ohio (NOW HIRING)

They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping ...

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 ...

Experience with data visualization tools (e.g., Tableau, Power BI). * Strong SQL skills and familiarity with database management. * Ability to lead and manage tasks and activities effectively.

Data visualization experience and associated tools/libraries (e.g. pyplot, seaborn) * Experience using Git for version control and issue tracking * Experience with artifact repositories (e.g.

Strong Excel and data visualization skills. * Ability to obtain DHS Public Trust suitability. Preferred Qualifications * Healthcare analytics experience. * Federal reporting experience. * Knowledge ...

Power BI, dashboards, analytics, and data visualization * Advanced Excel and reporting * Data governance, quality, controls, and validation * Large-scale data management * Stakeholder management and ...

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Knowledge of data visualization tools (Power BI, Tableau). * Experience in US healthcare domain (preferred for Elevance-type engagements). Founded in 2010 and headquartered in the Washington, DC ...

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Experience using SharePoint, Tableau, Redmine, and systems or databases to manipulate and build data visualization * Active TS/SCI clearance; willingness to take a polygraph exam * Bachelor's degree ...

Showing results 41-60

Data Visualization information

See Ohio salary details

$51.3K

$104.1K

$153.5K

How much do data visualization jobs pay per year?

As of Aug 19, 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 August 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $104,054 per year, or $50 per hour.

Contractor

Re-posted 26 days ago


Job description

Apply Job no: 5608 Category: Administrative A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform business decision-making. They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns.

Job duties include collecting and cleaning data from various sources, performing data analysis using statistical methods and software, creating reports and presentations to communicate findings, and developing data-driven solutions to business problems. Skills and Qualifications Strong analytical and problem-solving skills Proficiency in data analysis tools such as Python, R, SQL, and Excel Knowledge of statistical methods and data modeling Expertise in data cleaning and preprocessing techniques Data visualization proficiency using tools like Tableau or Power BI Strong problem-solving skills for data-related challenges Excellent communication skills to convey complex data insights to non-technical stakeholders Optional skills that may be helpful for a Data Analyst include programming skills in languages such as Python or R, knowledge of machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific industries. A Data Analyst should have the ability to work independently and as part of a team, exhibit attention to detail, and possess a strong curiosity and passion for data analysis.

They play a critical role in uncovering insights that drive effective decision-making and business success. Job Description: A Database Administrator (DBA) is responsible for the installation, configuration, maintenance, and security of database systems. They ensure databases are available, reliable, and performant.

DBAs also work to protect databases from unauthorized access and data breaches. Skills Needed: - Strong understanding of database concepts and technologies, such as relational databases, SQL, and database management systems - Experience with database administration tools and utilities - Ability to work with large datasets and complex queries - Excellent problem-solving and troubleshooting skills - Ability to work independently and as part of a team - Optional skills: Programming skills (Python, R), knowledge of cloud computing platforms, domain knowledge in relevant industries P&G's freelancer opportunities are for project-based or other short-term engagements that require specialized skills. Successful candidates for freelancer opportunities will not be considered employees of The Procter & Gamble Company or any of its subsidiaries nor will candidates be eligible for employment benefits.

Candidates looking for regular full-time employment opportunities should begin their search here: pgcareers.com. Published on 24 Jun 2026, 12:39 AM.