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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 ...

To ensure insights are accurate and statistically sound. • Data Visualization & Storytelling: To create clear, insightful reports - prior experience in Looker is good to have. Qualifications

Data Visualization Tools: Experience with tools like Tableau, Power BI. * Programming Languages: Familiarity with languages like Python or R. * Data Cleaning and Preparation: Skills in data cleaning ...

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 ...

Data visualization using Tableau/PowerBI etc. * Prior experience creating compelling presentations and data storytelling * Prior experience managing senior stakeholders * Prior experience working ...

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 ...

This role focuses on developing data analysis pipelines, statistical models, and machine learning approaches to support the integration, interpretation, and visualization of diverse datasets. The ...

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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 Jul 13, 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.

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 are the most commonly searched types of Data Visualization jobs in Pennsylvania? The most popular types of Data Visualization jobs in Pennsylvania are:
What job categories do people searching Data Visualization jobs in Pennsylvania look for? The top searched job categories for 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, 76% Full Time, 17% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $109,713 per year, or $52.7 per hour.
Data Visualization Lead

Data Visualization Lead

R2 Technologies Corporation

Philadelphia, PA • On-site

Full-time

Re-posted 25 days ago


Job description

Overview:
We're Hiring: Data Visualization Lead
Location: Philadelphia, PA or Remote (US)
Join an innovative team building cutting-edge, interactive data visualizations with large geospatial datasets. You'll lead a small team and work closely with engineers and data scientists to bring complex data to life.
Must-Have Skills:
React, Deck.gl, JavaScript, HTML/CSS, SQL
Strong UI/UX + data storytelling mindset
Leadership in frontend or data viz projects
Nice-to-Have: Carto, JSON, API, CI/CD, Java, GIS
Skills:
React,JavaScript,data storytelling