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Data Visualization Jobs in Pennsylvania (NOW HIRING)

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 ...

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 ...

Experience working with data visualization tools such as Tableau, Power BI, or Looker. * Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform)

Senior Data Analyst

Philadelphia, PA

$86K - $109K/yr

Design and build new automated data connections and reports in various data visualization tools (e ... g., QlikView and Qlik Sense, Power BI, Excel) using input from business leaders, while adapting to ...

Recommends data visualization techniques and identifies and integrates new information sources. Applies methodologies to large data sets and finds opportunities for product and process optimization ...

Recommends data visualization techniques and identifies and integrates new information sources. Applies methodologies to large data sets and finds opportunities for product and process optimization ...

Data Analyst, Senior Specialist

Malvern, PA · On-site

$84K - $106K/yr

Demonstrates expertise in data visualization and mentors analysts on data visualization best practices. * Develops the analytics community at Vanguard by mentoring, coaching and connecting others ...

Data visualization * Knowledge of additional analytical and data visualization software such as ArcGIS and Tableau General: * Program evaluation and outcomes measurement * Strong research, analysis ...

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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 14, 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.
Research Data Scientist

Research Data Scientist

System One

Pittsburgh, PA • On-site

Full-time

Posted 11 days ago


Job description

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel therapeutics that is seeking a highly motivated Data Scientist to provide advanced analytical and computational support for complex research and data-driven initiatives. 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 position will contribute to building scalable, reproducible data frameworks that enable insights, predictive modeling, and informed decision-making. Responsibilities:

  • Design and implement scalable data analysis pipelines for structured and unstructured datasets
  • Develop and apply statistical models to analyze trends, patterns, and key outcomes
  • Build and deploy machine learning models for predictive analytics and pattern recognition
  • Perform integrative analysis across multiple data sources and modalities
  • Collaborate with stakeholders to support study design, data strategy, and analytical approaches
  • Establish and maintain reproducible workflows, including data preprocessing, quality control, and version control
  • Develop data organization standards and reporting frameworks
  • Generate clear data visualizations, dashboards, and analytical summaries
  • Contribute to technical documentation, reports, and presentations
  • Support data infrastructure development for efficient storage, access, and processing
  • Partner with cross-functional teams to align data solutions with project goals

Requirements:

  • Master’s degree (Ph.D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field
  • 3+ years of experience in data analysis, statistical modeling, or computational work
  • Strong expertise in statistical analysis and data interpretation
  • Proficiency in programming languages such as Python or R
  • Experience working with large, complex datasets
  • Experience building reproducible data workflows and pipelines
  • Strong analytical, problem-solving, and communication skills
  • Ability to work both independently and collaboratively

Preferred Qualifications

  • Ph.D. in a quantitative or computational discipline
  • Experience with machine learning or advanced modeling techniques
  • Experience integrating data from multiple sources or systems
  • Familiarity with data visualization tools and techniques
  • Experience with data infrastructure, cloud platforms, or big data tools
  • Exposure to analytical work in research or technical environments
  • Experience contributing to technical reports, publications, or presentations

#M3 #LI-KM2 Ref: #558-Scientific