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Data Visualization Jobs in New York (NOW HIRING)

Technology Talent Network LLC

Be Seen First

Senior Data Analyst

New York, NY · On-site

$65K - $85K/yr

* Analyze data to draw business-relevant conclusions and in data visualization techniques and tools * Develop and construct visualizations to enhance delivery of information to customers. * Identify ...

Technology Talent Network LLC

Be Seen First

Senior Data Analyst

New York, NY · On-site

$65K - $85K/yr

* Analyze data to draw business-relevant conclusions and in data visualization techniques and tools * Develop and construct visualizations to enhance delivery of information to customers. * Identify ...

Strategic Employment

Data Analyst

Brooklyn, NY · Hybrid

$100K - $120K/yr

Experience with SQL, data visualization tools, and warehousing tools are a must. Term: Full Time/Permanent Hire Location: Brooklyn, NY (hybrid) Compensation: $100k-$120k Desired Qualifications: * 4+ ...

Rendr

Compliance Data Architect

New York, NY

$120K - $150K/yr

This role requires expertise in transforming raw data into actionable insights through analysis, intuitive visualization, and effective communication. Primary Responsibilities: * Lead the development ...

Seven Seven Software

Data Analyst

Newark, NJ · On-site

Experience developing SQL * Experience with business intelligence and data visualization tools (Cognos, Tableau, PowerBI ) * Knowledge of Agile process methodologies * Knowledge of big data ...

Prophecy Technologies

Data Analyst

Jersey City, NJ · On-site

Data visualization tools like Tableau or Power BI * Programming languages like Python or R Required Qualifications: * 8+ years of experience in data analysis and visualization * Strong understanding ...

tignovate

Data Analyst

Manhattan, NY

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 ...

WFN Team Indus US Test Client 2

Data Analyst

Manhattan, NY · On-site

$1K - $2K/yr

Proven experience in data analysis and data visualization tools such as Power BI and Tableau. * Strong proficiency in R and SAS programming languages. Preferred Qualifications: * Experience in the ...

Hang

Data Scientist

New York, NY · On-site +1

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

VAST Data

Sr. Data Analyst (Sales)

Manhattan, NY · On-site +1

$94K - $119K/yr

Data Visualization: Develop and maintain automated Tableau dashboards that provide real-time visibility into the health of Sales * Data Management: Ensure the accuracy of data through regular audits ...

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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 Analyst

WFN Team Indus US Test Client 2

Manhattan, NY • On-site

Full-time

Posted 14 days ago

Job description

About the Role:

As a Data Analyst at our Agriculture company, your main objective will be to analyze and interpret complex data sets to provide valuable insights and recommendations. You will be responsible for collecting, cleaning, and organizing large volumes of data from various sources. By utilizing your expertise in data cleaning, pivot tables, R programming language, SAS, and data visualization tools such as Power BI and Tableau, you will create visually appealing and informative reports and dashboards. Your analysis will play a crucial role in identifying trends, patterns, and opportunities for improvement in our agricultural operations.

Minimum Qualifications:

  • Bachelor's degree in a relevant field such as Data Science, Statistics, or Mathematics.
  • Proven experience in data analysis and visualization.
  • Proficiency in data cleaning techniques and working with pivot tables.
  • Strong programming skills in R and familiarity with SAS.
  • Excellent problem-solving and critical thinking abilities.

Preferred Qualifications:

  • Master's degree in Data Science or a related field.
  • Experience in the agriculture industry or a similar field.
  • Knowledge of data extraction techniques and tools.
  • Familiarity with machine learning algorithms and predictive modeling.
  • Certifications in data analysis or related areas.

Responsibilities:

  • Collect, clean, and organize large volumes of data from multiple sources.
  • Analyze and interpret complex data sets to identify trends, patterns, and insights.
  • Create visually appealing and informative reports and dashboards using data visualization tools such as Power BI and Tableau.
  • Collaborate with cross-functional teams to understand business requirements and provide data-driven recommendations.
  • Stay up-to-date with the latest industry trends and advancements in data analysis techniques.

Skills:

In this role, your expertise in data cleaning, pivot tables, R programming language, SAS, and data visualization tools such as Power BI and Tableau will be essential. You will use data cleaning techniques to ensure the accuracy and integrity of the collected data. Pivot tables will help you summarize and analyze large datasets efficiently. R programming language and SAS will be used for statistical analysis and modeling. Data visualization tools like Power BI and Tableau will enable you to create visually appealing reports and dashboards to communicate insights effectively. Your skills will be crucial in providing data-driven recommendations and identifying opportunities for improvement in our agricultural operations.