2

Entry Level Data Visualization Engineer Jobs in Pittsburgh, PA

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 ...

Understanding of data visualization, data cleaning, and reporting. * Strong analytical and problem ... Engineering, or a related field. Preferred Qualifications * 2+ years of experience as a Data ...

As an Incorta Developer, you will be responsible for designing, developing, and managing Incorta ... Requirements Proficiency in Incorta, including data modeling, schema design, and visualization ...

As an Incorta Developer, you will be responsible for designing, developing, and managing Incorta ... Proficiency in Incorta, including data modeling, schema design, and visualization creation.

Data Science Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Industrial Engineering related assignments, Data organization, manipulation, visualization and analysis, Documentation design, creation, and organization, & Identification and development of process ...

next page

Showing results 1-20

Entry Level Data Visualization Engineer information

See Pittsburgh, PA salary details

$43.2K

$125.9K

$172.3K

How much do entry level data visualization engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for entry level data visualization engineer in Pittsburgh, PA is $125,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $133,500.00 per year, depending on experience, location, and employer.
What are popular job titles related to Entry Level Data Visualization Engineer jobs in Pittsburgh, PA? For Entry Level Data Visualization Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Visualization Engineer jobs in Pittsburgh, PA look for? The top searched job categories for Entry Level Data Visualization Engineer jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Entry Level Data Visualization Engineer jobs? Cities near Pittsburgh, PA with the most Entry Level Data Visualization Engineer job openings:
Infographic showing various Entry Level Data Visualization Engineer job openings in Pittsburgh, PA as of June 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,931 per year, or $60.5 per hour.

Data Analyst

Sarian, Inc.

Pittsburgh, PA • On-site

Full-time

Re-posted 26 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/