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Data Visualization Jobs in New York (NOW HIRING)

Data Visualization Architect

New York, NY

$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 ...

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 ...

Compliance Data Scientist

New York, NY · On-site

$110K - $135K/yr

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

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 ...

Data Analyst II

Fort Lee, NJ · On-site

$84K - $156K/yr

... of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced ...

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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 Jul 28, 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.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

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 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 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 positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
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 cities in New York are hiring for Data Visualization jobs? Cities in New York with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $119,743 per year, or $57.6 per hour.

Data Visualization & Reporting Designer

Focal Point Care

Brooklyn, NY • On-site

$50K - $70K/yr

Full-time

Posted 15 days ago


Job description

Description:

Data Visualization & Reporting Designer


Position Summary

The Data Visualization & Reporting Designer is responsible for transforming business data into clear, intuitive, and visually compelling reporting experiences that support operational and strategic decision-making across the organization.

This role focuses on the user experience of reporting. The ideal candidate understands how to organize information, highlight key insights, and create dashboards that tell a story. Rather than building complex data models or backend data structures, this position works closely with business stakeholders and the BI team to design reports that are engaging, actionable, and easy to understand.

The Data Visualization & Reporting Designer reports to the Vice President of Software & Integration.


Key Responsibilities

  • Design, build, and maintain Power BI reports and dashboards
  • Create visually appealing and intuitive reporting experiences that help users quickly understand and act on data
  • Partner with business users to understand reporting needs, business processes, and decision-making requirements
  • Transform business requirements into effective dashboards, scorecards, KPI displays, and analytical reports
  • Design report layouts, navigation, drill-through experiences, filters, and interactive features that enhance usability
  • Apply data visualization best practices to improve clarity, readability, and user adoption
  • Focus on storytelling through data by presenting information in a way that highlights trends, opportunities, and risks
  • Ensure consistency in design standards, report organization, and user experience across reporting solutions
  • Utilize existing datasets, semantic models, and measures provided by the BI Development and Data Engineering teams
  • Test and validate reports to ensure accuracy, usability, and performance
  • Continuously improve existing reports based on user feedback and evolving business needs
  • Collaborate effectively with stakeholders across departments and business units
  • Other duties as assigned
Requirements:

Qualifications


  • Experience designing and developing dashboards and reports in Power BI
  • Strong understanding of data visualization principles, dashboard design, and user experience
  • Demonstrated ability to turn complex information into simple, intuitive reporting experiences
  • Experience gathering requirements and working directly with business stakeholders
  • Strong eye for layout, presentation, organization, and visual communication
  • Familiarity with KPI dashboards, operational reporting, and business performance metrics
  • Portfolio or examples of dashboard, reporting, or visualization work strongly preferred
  • Experience with Microsoft Fabric is a plus
  • Strong analytical, organizational, and problem-solving skills
  • Excellent written and verbal communication skills
  • Self-motivated with the ability to work independently and manage multiple priorities
  • Ability to collaborate effectively across technical and non-technical teams
  • Ability to thrive in a fast-paced environment while maintaining attention to detail