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Data Visualization Jobs in Pittsburgh, PA (NOW HIRING)

Sarian, Inc.

Data Analyst

Pittsburgh, PA · On-site

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 ...

GARGI TECHNOLOGIES INC

Data Analyst

Pittsburgh, PA · On-site

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

System One

Research Data Scientist

Pittsburgh, PA · On-site

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 ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

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 ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

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 ...

Epistemix

Data Scientist

Pittsburgh, PA · Remote

Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making * Collaborate with customer and internal teams to ...

Tata Consultancy Service Limited

Analyst

Pittsburgh, PA · On-site

$100K - $110K/yr

Experience with data visualization tools (Power BI, Tableau). * Basic programming knowledge (Python or R). * Strong analytical and problem-solving abilities. * Good communication and presentation ...

Visvero, Inc.

Incorta Developer

Pittsburgh, PA · On-site

Requirements Proficiency in Incorta, including data modeling, schema design, and visualization creation. Experience with ETL development, data integration, and hands-on SQL query writing and ...

Visvero

Incorta Developer

Pittsburgh, PA · On-site

Proficiency in Incorta, including data modeling, schema design, and visualization creation. * Experience with ETL development, data integration, and hands-on SQL query writing and optimization skills.

PPG Industries, Inc.

Data Scientist

Pittsburgh, PA · On-site

... and data visualization methods to drive product and service development that lie at the intersection of both digital and physical sciences. You will make recommendations on the data and provide ...

Pwc

Data Strategy-Manager

Pittsburgh, PA

$99K - $232K/yr

... data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel Requirements Up to 80% Job Posting End Date The salary range for ...

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All JobsData Visualization JobsData Visualization Jobs in Pittsburgh, PA

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 Jul 28, 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.

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.
More about Data Visualization jobs
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 job categories do people searching Data Visualization jobs in Pittsburgh, PA look for? The top searched job categories for Data Visualization jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Data Visualization jobs? Cities near Pittsburgh, PA with the most Data Visualization job openings:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $106,256 per year, or $51.1 per hour.

Data Analyst

Sarian, Inc.

Pittsburgh, PA • On-site

Full-time

Posted 13 days ago

Job description

Role: Data Analyst
Location: Pittsburgh, PA
Onsite position
Fulltime Position
*****NO C2C****
JD
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Statistical Analysis: Proficiency in statistical methods and techniques.
  • SQL: Knowledge of Structured Query Language for database management.
  • 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, transformation, and quality assurance.
  • Data Modeling: Ability to design and implement data models.
  • Communication and Presentation: Strong communication and presentation skills to effectively convey findings to stakeholders.
  • Critical Thinking: Ability to analyze data, identify trends, and draw conclusions.
  • Attention to Detail: Accuracy and precision in data analysis and reporting.
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Data Collection and Preparation: Gathering data from various sources, cleaning and preparing it for analysis, and ensuring data quality.
  • Statistical Analysis: Performing statistical analyses to identify trends, patterns, and anomalies in the data.
  • Exploratory Data Analysis (EDA): Engaging in exploratory data analysis to gain a deeper understanding of the data and identify potential areas for further investigation.
  • Data Visualization: Creating clear and concise visualizations (charts, graphs, dashboards) to communicate data insights effectively.
  • Reporting and Presentation: Preparing reports and presentations to communicate findings to stakeholders, influencing decision-making.
  • Data Governance and Quality: Ensuring data quality, process documentation, and defining Key Performance Indicators (KPIs).
  • Database Management: Managing databases, troubleshooting data-related issues, and optimizing database performance.
  • Data Modeling: Building data models to represent and analyze data effectively.
  • Data Mining: Mining data from various sources and transforming it into usable formats.

Manikanth
Sarian Solutions, Inc.
Ph: 732-790-2266 X 105
manikanth.d@sariansolutions.com | https://www.sarianinc.com/

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