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Director Data Visualization Jobs in Pittsburgh, PA

Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab ... and visualization of diverse datasets. The position will contribute to building scalable ...

Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab ... and visualization of diverse datasets. The position will contribute to building scalable ...

Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab ... and visualization of diverse datasets. The position will contribute to building scalable ...

Reporting & Visualization: * Design, build, and maintain impactful, user-friendly dashboards (e.g ... Building out measurement capabilities and custom insights for direct merchant campaigns * Reporting ...

Candidates should be comfortable working in a fast-paced, flexible environment and be self-directed ... Familiarity with data visualization approaches (D3.js, Plotly, Recharts, or Foundry-native Workshop ...

Candidates should be comfortable working in a fast-paced, flexible environment and be self-directed ... Familiarity with data visualization approaches (D3.js, Plotly, Recharts, or Foundry-native Workshop ...

Data Engineer - Clearance Required

Pittsburgh, PA · On-site

$111K - $133K/yr

Candidates should be comfortable working in a fast-paced, flexible environment and be self-directed ... Familiarity with data visualization approaches (D3.js, Plotly, Recharts, or Foundry-native Workshop ...

Data Engineer - Clearance Required

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Candidates should be comfortable working in a fast-paced, flexible environment and be self-directed ... Familiarity with data visualization approaches (D3.js, Plotly, Recharts, or Foundry-native Workshop ...

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Director Data Visualization information

See Pittsburgh, PA salary details

$52.4K

$106.3K

$156.8K

How much do director data visualization jobs pay per year?

As of Aug 11, 2026, the average yearly pay for director data visualization in Pittsburgh, PA is $106,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $119,400.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Visualization vs Data Analyst?

AspectDirector Data VisualizationData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; extensive experience in data visualization toolsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeadership role overseeing visualization teams, strategic planning, and project managementAnalyzing data sets, creating reports, and supporting decision-making processes
Employer & Industry UsageUsed in tech, finance, marketing, and large organizations for strategic insightsCommon across various industries for data interpretation and reporting

The main difference is that a Director Data Visualization leads visualization teams and sets strategic goals, while a Data Analyst focuses on analyzing data and creating visual reports. The director role involves higher-level management and planning, whereas the analyst role is more hands-on with data processing and reporting tasks.

What are the most commonly searched types of Data Visualization jobs in Pittsburgh, PA? The most popular types of Data Visualization jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Director Data Visualization jobs? Cities near Pittsburgh, PA with the most Director Data Visualization job openings:

Research Data Scientist

System One

Pittsburgh, PA • On-site

Full-time

Re-posted 9 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