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Data Visualization Jobs in New Jersey (NOW HIRING)

Jobtailor

Staff Data Scientist

Hoboken, NJ · On-site

$125 - $150/hr

Proficiency in data visualization tools such as Matplotlib, Plotly, or Tableau * Experience with data strategy, data quality standards, governance, and scalable data storage solutions * Ability to ...

AA2IT

Sr. Data Scientist

Rahway, NJ · On-site

... data visualization tools (Shiny, Streamlit, Dash, Spotfire, PowerBI, or Tableau) • Excellent verbal and written communications skills • Works independently and be able to collaborate as a team ...

Cynet Systems

Senior Data Scientist

Raritan, NJ · On-site

$50 - $55/hr

Data Visualization. Qualification And Education: * 10+ years of experience. Benefits Our Benefits Include: * Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account ...

CYNET SYSTEMS

Senior Data Scientist

Raritan, NJ · On-site

$50 - $55/hr

Data Visualization. Qualification And Education: * 10+ years of experience. Benefits: Our Benefits Include: * Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account ...

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Data Visualization information

See New Jersey salary details

$54.8K

$111.1K

$164K

How much do data visualization jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data visualization in New Jersey is $111,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $124,900.00 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 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.

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 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 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.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with skills in tools like Tableau, Power BI, or D3.js. Salaries vary based on experience, location, and industry, but the role is generally well-compensated compared to other entry-level tech positions.

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 jobs use data visualization?

Data visualization is used in a variety of roles such as data analyst, business intelligence analyst, data scientist, and dashboard developer. These jobs require skills in tools like Tableau, Power BI, or Excel to interpret and communicate data insights effectively.

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 presenting insights effectively to stakeholders.
More about Data Visualization jobs

What are the most commonly searched types of Data Visualization jobs in New Jersey?

The most popular types of Data Visualization jobs in New Jersey are:

What are popular job titles related to Data Visualization jobs in New Jersey?

For Data Visualization jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Visualization jobs in New Jersey look for?

The top searched job categories for Data Visualization jobs in New Jersey are:

What cities in New Jersey are hiring for Data Visualization jobs?

Cities in New Jersey with the most Data Visualization job openings:

Data Visualization jobs near you
Infographic showing various Data Visualization job openings in New Jersey as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $111,118 per year, or $53.4 per hour.

BI Data Visualization - Qlikview

Somerville, NJ • On-site

Syntricate Technologies
IT Services • 51 - 200 employees
Learn more about Syntricate Technologiesexternal

Full-time

Re-posted 8 days ago

Key responsibilities

  • Design complex application architectures and governance processes for Qlikview-based BI solutions.

  • Develop reusable data layers and scripts to support data extraction, transformation, and loading from multiple sources.

  • Use APIs to automate report creation and enhance data visualization functionalities.

Job description

Job Summary:
Syntricate Technologies is seeking a BI Data Visualization professional specializing in Qlikview. The role involves designing complex application architectures, developing reusable data layers, and automating report creation using various APIs.
Responsibilities:
• Excellent analytical and communication skills.
• Good Documentation skills.
• Good Team player
• Competencies: Digital : Microsoft Azure, Digital : BI Data Visualization - Qlikview, Digital : Python, Digital : Qlik Sense
• Essential Skills: Experience on Various Application installation methods, applying patches and administrative knowledge.
• Designing complex application architectures, designing governance and self-service processes.
• Designing reusable data layers.
• Knowledge on different licensing information, Capacity planning and Sizing
• Experience on other major database (e.g. SQL Server, Oracle) Experience on Azure & AWS Products.
• Use of best practice on Extract/Transform/Loading of data in multiple tools like Tableau, Power BI, Qlik from multiple data sources SQL expertise on one or more platforms.
• Use of complex Data functions and developing most optimal scripts for a given solution
• Well versed with advanced functions like SET analysis, ApplyMaps, What-If and complex functions.
• Detailed understanding of NPrinting , different API's , mashups and extensions (create extensions)In depth knowledge of Data Bricks, Angular JS , HTML , CSS
• Ability to use various API's to automate report creation.
Qualifications:
Required:
• Excellent analytical and communication skills.
• Good Documentation skills.
• Good Team player
• Competencies: Digital : Microsoft Azure, Digital : BI Data Visualization - Qlikview, Digital : Python, Digital : Qlik Sense
• Experience (Years): 6-8
• Essential Skills: Experience on Various Application installation methods, applying patches and administrative knowledge.
• Designing complex application architectures, designing governance and self-service processes.
• Designing reusable data layers.
• Knowledge on different licensing information, Capacity planning and Sizing
• Experience on other major database (e.g. SQL Server, Oracle) Experience on Azure & AWS Products.
• Use of best practice on Extract/Transform/Loading of data in multiple tools like Tableau, Power BI, Qlik from multiple data sources SQL expertise on one or more platforms.
• Use of complex Data functions and developing most optimal scripts for a given solution
• Well versed with advanced functions like SET analysis, ApplyMaps, What-If and complex functions.
• Detailed understanding of NPrinting , different API's , mashups and extensions (create extensions) In depth knowledge of Data Bricks, Angular JS , HTML , CSS
• Ability to use various API's to automate report creation.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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