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Data Visualization Jobs in Pennsylvania (NOW HIRING)

Job Summary - Data Visualization Lead - Design and develop advanced, interactive data visualizations using React, Deck.gl, and related technologies. - Lead and mentor a small team of visualization ...

The role requires strong analytical skills, proficiency in SQL and data visualization tools, and the ability to communicate findings to both technical and non-technical stakeholders. Key ...

Posted today

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 ...

Understanding of data visualization, data cleaning, and reporting. * Strong analytical and problem-solving skills. * Good communication and teamwork abilities. Education * Bachelor''s degree in ...

You will utilize skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems, optimizing their operations, and achieving strategic ...

DATA ENGINEER

Conshohocken, PA · On-site

$112K - $135K/yr

Our client is currently seeking a DATA ENGINEER Permanent Fulltime Opportunity, W2 Only ... Visualization and Guidance oProvide guidance on visualization tools, focusing on Power BI ...

Design, develop, and enhance reporting solutions using business intelligence and data visualization tools. * Conduct exploratory and descriptive analysis to identify trends, patterns, and ...

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Data Visualization information

See Pennsylvania salary details

$54.1K

$109.7K

$161.9K

How much do data visualization jobs pay per year?

As of Aug 5, 2026, the average yearly pay for data visualization in Pennsylvania is $109,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $123,300.00 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 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 increasing demand across 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.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with experience and proficiency in tools like Tableau, Power BI, or D3.js. Salaries vary by industry, location, and skill level but generally align with other data analysis roles, with higher pay for those who combine visualization skills with data analysis or programming expertise.

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 explaining insights to non-technical stakeholders.
What are the most commonly searched types of Data Visualization jobs in Pennsylvania? The most popular types of Data Visualization jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Data Visualization jobs? Cities in Pennsylvania with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Pennsylvania as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $109,713 per year, or $52.7 per hour.

Data Visualization Lead

Winaxis

Philadelphia, PA • On-site

Contractor

Re-posted 18 days ago


Job description

Job Summary – Data Visualization Lead
- Design and develop advanced, interactive data visualizations using React, Deck.gl, and related technologies.
- Lead and mentor a small team of visualization engineers, providing technical guidance and conducting code reviews.
- Collaborate with cross-functional teams (data scientists, engineers, product managers) to gather requirements and create effective visual storytelling solutions.
- Optimize rendering performance for large, complex geospatial and temporal datasets.
- Ensure accessibility and responsiveness of visualizations across various devices and platforms.
- Maintain a scalable and maintainable codebase using best practices in testing, performance, and code structure.
- Stay updated on emerging trends and technologies in data visualization to drive team innovation.
- Utilize strong UI/UX skills to deliver compelling and intuitive user experiences.
- Required Skills: Proficiency in React.js, Deck.gl, JavaScript, HTML/CSS, SQL; experience leading engineering projects/teams; experience with large datasets and APIs; familiarity with geospatial data formats.
- Preferred Skills: Experience with Carto, JSON, API integration, CI/CD, Java, GIS/urban data, state management, design systems (Figma/Storybook), and agile environments.