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Data Visualization Jobs in New York (NOW HIRING)

The AES Group

Data Visualization Engineer

Morristown, NJ · On-site

$117K - $141K/yr

Data Visualization Engineer Location: Morristown, NJ (Hybrid -- 3 days/week onsite) Let's create our future together at The AES Group! About The AES Group The AES Group is a premier technology ...

EMARKETER

Data Visualization Editor

New York, NY · Hybrid

$70K - $86K/yr

We're hiring a Data Visualization Editor to join our Content team at EMARKETER. The Role & Team: As Data Visualization Editor, you will be responsible for ensuring our charts and graphics are ...

EMARKETER

Data Visualization Editor

New York, NY · On-site

$70K - $86K/yr

We're hiring a Data Visualization Editor to join our Content team at EMARKETER. The Role & Team: As Data Visualization Editor, you will be responsible for ensuring our charts and graphics are ...

EMARKETER

Data Visualization Editor

New York, NY · Hybrid

$70K - $86K/yr

We're hiring a Data Visualization Editor to join our Content team at EMARKETER. The Role & Team: As Data Visualization Editor, you will be responsible for ensuring our charts and graphics are ...

Ariston Tek Inc

Data Visualization Architect

New York, NY · On-site

$69.75 - $89.75/hr

... advanced visualization,usability, cloud, mobile etc. * Publish to and optimize Bl server ... Possess excellent communication skills, able to visualizeand report data findingscreatively in a ...

Ariston Tek Inc

Data Visualization Architect

New York, NY · On-site

$69.75 - $89.75/hr

... advanced visualization,usability, cloud, mobile etc. * Publish to and optimize Bl server ... Possess excellent communication skills, able to visualizeand report data findingscreatively in a ...

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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 Visualization Engineer

ChaTeck Incorporated

Morristown, NJ

Other

Posted 19 days ago

Job description

Role Overview

Seeking a highly skilled Data Visualization Engineer with strong technical depth and design intuition. This role focuses on building interactive dashboards, insightdriven visual narratives, and highperformance BI solutions that make complex data clear, actionable, and trusted across the organization.

Core Responsibilities

  • Build interactive dashboards, reports, and visualizations that clearly communicate metrics, trends, and insights
  • Translate business questions and KPIs into effective visual stories
  • Select appropriate visualization types, tools, and design patterns
  • Connect BI tools to enterprise data sources (cloud warehouses, relational DBs, APIs, files)
  • Develop and optimize data models, semantic layers, and calculated metrics
  • Apply best practices in layout, color, typography, accessibility (WCAG), and UX
  • Maintain visualization standards, templates, and style guides
  • Improve dashboard performance through query tuning, caching, and efficient modeling
  • Collaborate with data engineers to ensure data quality and reliability
  • Support selfservice analytics with documentation, training, and reusable templates
  • Conduct peer reviews and provide technical guidance within the BI environment

Required Qualifications

  • 6+ years in data visualization, BI engineering, or related field
  • Expert in Power BI, Tableau, Looker, or Qlik Sense
  • Strong SQL for querying and optimizing large datasets
  • Solid understanding of star/snowflake schemas, relationships, aggregations, and semantic modeling
  • Experience connecting BI tools to Snowflake, Databricks, BigQuery, Azure Synapse, or Redshift
  • Strong grasp of data visualization principles, UX, and accessibility standards
  • Proven ability to turn business requirements into polished, productionready dashboards
  • Ability to work independently and manage multiple deliverables (consulting/contractor mindset)

Preferred Qualifications

    • Proficiency in multiple visualization platforms
    • Familiarity with Python or R for data prep or analytics integration
    • Knowledge of data governance, cataloging, and metadata management
    • Experience in COE or enterprise BI governance environments
    • Familiarity with Git and CI/CD for BI development
    • Background in regulated industries (finance, healthcare, retail, government)
  • Relevant BI or cloud certifications

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