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Data Visualization Jobs in Wayne, NJ (NOW HIRING)

Data Analyst

New York, NY ยท On-site +1

Key Responsibilities: - Collect and organize large sets of data from various sources - Analyze data using statistical methods and data visualization techniques - Identify patterns and trends in data ...

Present findings and recommendations to stakeholders using data visualization techniques and clear narrative. * Stay updated with industry trends and best practices in data analytics to continually ...

Data Scientist

New York, NY ยท On-site +1

  • Medical

  • Dental

  • Vision

  • PTO

Data Visualization: Create clear and compelling visualizations to communicate findings to stakeholders. * Data Strategy: Contribute to the development of data collection strategies to optimize ...

Company Description As a Data Scientist you will be collaborating across the organization, focusing ... Development and implementation of analytics reporting and visualization dashboards. Development and ...

Senior Associate, Data Operations

New York, NY ยท Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Role Summary & Impact We are looking for a Business Intelligence and Data Visualization Senior Associate who will build develop and maintain the reporting infrastructure, the business intelligence ...

Senior Associate, Data Operations

New York, NY ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Role Summary & Impact We are looking for a Business Intelligence and Data Visualization Senior Associate who will build develop and maintain the reporting infrastructure, the business intelligence ...

Conduct variance analysis, trend analysis, forecasting support, and data visualization activities * Ensure data accuracy, integrity, and consistency across reporting platforms and datasets

Data Analyst

New York, NY ยท On-site

$100K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

This is an ideal opportunity for a data-driven professional with strong SQL, Power BI, and data visualization skills who thrives in a fast-paced logistics / global trade environment. Why Laufer Group ...

Data Scientist II

Manhattan, NY ยท On-site

$75K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The position will entail collecting and cleaning data, manipulating data, creating and tailoring visualization of interrelated datasets, and presenting research findings. Funding: This position is ...

Own and evolve marketing dashboards with KPIs, data visualization with strong story telling, etc. to influence marketing and product decisions for Senior Leadership * Ensure high data quality and ...

Data Analyst

Manhattan, NY ยท On-site

$100K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

This is an ideal opportunity for a data-driven professional with strong SQL, Power BI, and data visualization skills who thrives in a fast-paced logistics / global trade environment. Why Laufer Group ...

Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience understanding and solving real business problems * Have experience with ...

Creative Product Technologist, Data & AI

New York, NY ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, prototype, and ship fan-facing and internal tools, including data-visualization, data-capture, measurement, dashboard, and web-app products. * Translate digital account team briefs, client ...

Showing results 21-40

Data Visualization information

See Wayne, NJ salary details

$53.3K

$108K

$159.3K

How much do data visualization jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data visualization in Wayne, NJ is $107,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $121,300.00 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 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.

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 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 job categories do people searching Data Visualization jobs in Wayne, NJ look for?

The top searched job categories for Data Visualization jobs in Wayne, NJ are:

What cities near Wayne, NJ are hiring for Data Visualization jobs?

Cities near Wayne, NJ with the most Data Visualization job openings:

Infographic showing various Data Visualization job openings in Wayne, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $107,974 per year, or $51.9 per hour.

Data Scientist (biosensor) in NYC, NY 100% ONSITE

Talent Movers

New York, NY โ€ข On-site

Contractor

Re-posted 20 days ago


Job description

We are Hiring for Data Scientist (biosensor) in NYC, NY 100% Onsite
Title : Data Scientist
Location: Onsite in NYC, NY
Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The Data Scientist will contribute to biosensor data analysis and help to guide future biosensing R&D.
Job Responsibilities:
Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets.
Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, and make valuable discoveries leading to prototype biosensor development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the biosensor data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Leverage data visualization to help the team make decisions about future R&D directions to go.
Skills:
Experience with hardware sensors, and data analysis pertaining to real-world data.
Experience with signal processing pertaining to time domain signals and/or medical imaging systems
Experience presenting findings from statistical and machine learning methods to diverse audiences
Experience working with large datasets.
3+ years of experience performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL.
Proficiency in data structures and algorithms.
Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret.
Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, ggplot2.
Education/Experience:
Master of Science or PhD degree in computer science, statistics, neuroscience, biomedical engineering, or other relevant field.