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Data Visualization Jobs in New York (NOW HIRING)

Bridge Tech

Data Scientist Opportunity - NY

New York, NY · On-site

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 ...

PSEG

Data Scientist

Newark, NJ · Hybrid

The ideal candidate will have a strong background in data analysis, AI/ML development, data visualization, data modeling, and data engineering, with hands-on experience in AWS cloud services, Python ...

PSEG

Data Scientist

Newark, NJ · Hybrid

The ideal candidate will have a strong background in data analysis, AI/ML development, data visualization, data modeling, and data engineering, with hands-on experience in AWS cloud services, Python ...

Laufer Group International

Data Analyst

Manhattan, NY · On-site

$100K - $135K/yr

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 ...

Laufer Group International

Data Analyst

Manhattan, NY · On-site

$100K - $135K/yr

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 ...

De Circle

Data Scientist - DyDx

New York, NY · On-site +1

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 ...

SEI

Data and Analytics Consultant

New York, NY · On-site

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 ...

SQLI

Developpeur Data Tableau (F/H)

Manhattan, NY

En tant que membre cle de notre equipe, vous participerez a l'evolution de notre plateforme de donnees, en collaboration avec des data analysts, des data scientists et des chefs de projet. Missions

TALENDICA

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Strong data modelling concepts and schema design on relational data store and on cloud data store Familiarity with data visualization tools such as Tableau and PowerBI is a plus. Collaborating with ...

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All JobsData Visualization JobsData Visualization Jobs in New York

Data Visualization information

See New York salary details

$59.1K

$119.7K

$176.7K

How much do data visualization jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data visualization in New York is $119,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $134,600.00 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.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as data manipulation, visualization, and tools like Excel, SQL, and Tableau. However, mastering the role typically requires ongoing learning and practical experience, especially for complex analysis tasks and industry-specific knowledge.

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 AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization tools are better positioned to adapt to these technological changes.

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, understanding of data, and the ability to communicate insights effectively, often with a background in statistics or computer science. The field offers growth opportunities as organizations increasingly rely on visual data to inform decisions.

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 roles 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 New York? The most popular types of Data Visualization jobs in New York are:
What are popular job titles related to Data Visualization jobs in New York? For Data Visualization jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in New York look for? The top searched job categories for Data Visualization jobs in New York are:
What cities in New York are hiring for Data Visualization jobs? Cities in New York with the most Data Visualization job openings:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in New York as of June 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, 11% Hybrid, and 23% Remote job distribution, with an average salary of $119,743 per year, or $57.6 per hour.

Data Scientist Opportunity - NY

Bridge Tech

New York, NY • On-site

Full-time

Posted 21 days ago

Job description

Company Description
Job Description
As a Data Scientist you will be collaborating across the organization, focusing on the data collection from land-based, web-based, social media, and mobile platforms, as well as the CRM practice.
Working on a wide variety of initiatives, you will analyze massive amounts of data captured daily, and will build reporting solutions and develop visualizations to enable decision-making.
The Data Scientist will be responsible for a wide variety of technology-driven, data-centric practices, including:
Implementation and maintenance of analytics algorithms in a production setting.
Development and implementation of analytics reporting and visualization dashboards.
Development and support of database applications.
Qualifications
Requirements:
Distinguished academic record, Bachelor's degree,
Strong mathematical background. Knowledge of statistics.
2-5 years of actual Data Scientist experience.
SQL experience: should have exposure to one of MySQL, Oracle, Hive, Shark, Presto.
Programming: well versed in one of the following programming languages: Python, R, Ruby, Java, C++.
Data Visualization on the web. Frontend, Visualization, JavaScript, D3, Dygraphs, Google Charts.
Also Helpful (NOT Required):
Experience with NoSQL (such as MongoDB, Hadoop)
Additional Information
All your information will be kept confidential according to EEO guidelines.

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