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Data Visualization Jobs in Pittsburgh, PA (NOW HIRING)

Experience with data visualization tools such as Tableau, PowerBI, or related Python packages * Ability to integrate code with REST APIs and external data sources; comfortable working with API ...

Experience with data visualization tools such as Tableau, PowerBI, or related Python packages * Ability to integrate code with REST APIs and external data sources; comfortable working with API ...

New

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

Utilize data extraction, data analytics and data visualization tools to bring insight to clients Qualifications: * Minimum of 2 years of public accounting or equivalent experience * Must meet CPA ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Business System Analyst

Pittsburgh, PA · On-site

$85K - $100K/yr

Experience with ETL tools (Alteryx) or data visualization tools (Tableau) * Basic Python knowledge * Familiarity with data source mapping or system integration documentation Benefits We Offer:

Data Engineer, Senior

Pittsburgh, PA · On-site

$102K - $139K/yr

Reporting and data visualization skills * Excellent attention to detail * Proficiency in healthcare IT data or systems is required * Experience with modern, scalable big-data architecture is ...

Showing results 21-40

Data Visualization information

See Pittsburgh, PA salary details

$52.4K

$106.3K

$156.8K

How much do data visualization jobs pay per year?

As of Aug 15, 2026, the average yearly pay for 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 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 Pittsburgh, PA?

The most popular types of Data Visualization jobs in Pittsburgh, PA are:

What are popular job titles related to Data Visualization jobs in Pittsburgh, PA?

For Data Visualization jobs in Pittsburgh, PA, the most frequently searched job titles are:

What cities near Pittsburgh, PA are hiring for Data Visualization jobs?

Cities near Pittsburgh, PA with the most Data Visualization job openings:

Infographic showing various Data Visualization job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $106,256 per year, or $51.1 per hour.

Sr. Data Scientist

Brunner

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Senior Data Scientists at Brunner lead advanced analytics projects across multiple Brunner clients. They are also instrumental in contributing to the agency's R&D initiatives, where we apply cutting-edge approaches to maintain our best-in-class marketing services.
As a Senior Data Scientist, you work directly with internal teams and external clients to help those clients grow their businesses through optimized marketing. You accomplish this with your expertise in applied statistical techniques, high-quality production deployment, and effective communication. Your projects address a variety of marketing problems such as identifying best markets or customers, estimating, optimizing, and forecasting marketing campaign performance, processing unstructured data, and predicting behavior. Data management tasks include data acquisition from a variety of sources, ingestion, transformation, loading, and quality control.
You are adept across the full analytics project lifecycle, from requirements and scoping, through data acquisition and management, EDA, model fitting and selection, insight generation, communication to stakeholders, and deployment. You support the improvement of that project lifecycle by helping to create or develop proprietary software tools. Senior Data Scientists are trusted confidants of clients, internal leaders, and are responsible for project success.
Responsibilities
  • Selecting features, building, and optimizing models using machine learning and AI
  • Data mining
  • Expanding and improving our data resources
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Developing clear and meaningful presentations with effective, audience-relevant visualizations
  • Creating automated systems and tracking their performance
  • Making critical contributions to the development of new, innovative tools and services
  • Building client rapport and identifying new opportunities for engagements

Requirements
Skills and Qualifications
  • In-depth, hands-on experience with commonly used modeling procedures including regression, classification, forecasting, and optimization
  • Understanding of how to apply supervised and unsupervised machine learning algorithms, and regular self-improvement to update your knowledge
  • Proficiency with Python, SQL, relational databases, and an IDE such as VS Code or PyCharm
  • Proficiency in the application of AI tools (LLM prompts, agents, and coding extensions) to improve the efficiency and quality of your workflow
  • Experience with data visualization tools such as Tableau, PowerBI, or related Python packages
  • Ability to integrate code with REST APIs and external data sources; comfortable working with API documentation
  • Preferred candidates will also have experience with:
    • Building and deploying data pipelines and ETL workflows
    • Processing unstructured data such as text or images
    • Cloud environments such as AWS, Azure, or Google Cloud
    • Version control systems such as GitHub

Education and Training
  • 3 - 5 years of experience in a data science role
  • Bachelor's or Master's degree in program with heavy emphasis on quantitative analysis or programming, such as analytics or data science, economics, physics, mathematics or statistics, computer science, engineering, or quant emphasis in social science (psychology, sociology, policy, etc.)

Who We Are
Brunner is an integrated marketing communications agency with a fast-paced, creative environment. We value Perseverance, Integrity, Tenacity, Curiosity, and Heart in every aspect of our business, especially our team members. We are good people creating good work. Brunner's commitment is to its people - fostering growth within (robust training, low attrition, and commitment to diversity), becoming an extension of their client's teams and maintaining long-term relationships, and creating great marketing programs that achieve business impact for their clients.
Perks
We offer your full traditional benefits including health, dental, vision, a 401k plan, and life insurance. We also offer commuter and transit benefits, as well as an employee wellness benefit for you to enjoy your life outside of work. Add to that unlimited PTO, half day summer Fridays and all the holiday time off you would expect.
Flexible Work Policy
It's simple - work where it's most convenient for you! We recognize that we're a mixed group of people with different priorities in our lives, so we empower our employees to create their ideal working scenario...in-office, at home, or a hybrid of both. Keep in mind you might need to pop into the office for a client meeting here and there, or even an agency-wide meeting.
Environmental Demands
Normal office environment. Ability to sit for extended periods of time including extensive use of PC equipment.
We like everyone, so we are an equal opportunity employer. We do not consider your race, religion, ethnicity, national origin, age, sex, disability, marital status, sexual orientation, or veteran status when deciding to hire you. We just want you to be you.