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Data Visualization Manager 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 ... Ability to work independently, manage multiple deliverables, and communicate proactively ...

EMARKETER

Data Visualization Editor

New York, NY · Hybrid

$70K - $86K/yr

You'll also apply advanced data visualization and project management skills to drive internal process improvements and new content initiatives. This position involves editing, data analysis, data ...

EMARKETER

Data Visualization Editor

New York, NY · On-site

$70K - $86K/yr

You'll also apply advanced data visualization and project management skills to drive internal process improvements and new content initiatives. This position involves editing, data analysis, data ...

EMARKETER

Data Visualization Editor

New York, NY · Hybrid

$70K - $86K/yr

You'll also apply advanced data visualization and project management skills to drive internal process improvements and new content initiatives. This position involves editing, data analysis, data ...

Rendr

Compliance Data Architect

New York, NY · On-site

$120K - $150K/yr

Proficiency in analytical tools, machine learning, data visualization, data reconciliation, and data management including SQL and Microsoft Power BI. * Excellent problem-solving skills and attention ...

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All JobsData Visualization JobsData Visualization Manager JobsData Visualization Manager Jobs in New York

Data Visualization Manager information

See New York salary details

$59.1K

$119.7K

$176.7K

How much do data visualization manager jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data visualization manager 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 are the key skills and qualifications needed to thrive as a Data Visualization Manager, and why are they important?

To thrive as a Data Visualization Manager, you need a strong foundation in data analysis, visualization techniques, and statistical knowledge, typically supported by a degree in data science, computer science, or a related field. Expertise in tools such as Tableau, Power BI, and programming languages like Python or R, as well as familiarity with data management systems, is highly valued. Exceptional communication, leadership, and problem-solving skills help bridge the gap between technical teams and business stakeholders. These abilities are crucial for transforming complex data into actionable insights that drive strategic decision-making.

What are some common challenges Data Visualization Managers face when leading cross-functional projects?

Data Visualization Managers often navigate the challenge of aligning diverse teams, such as data analysts, designers, and business stakeholders, to ensure visualizations meet technical accuracy and business needs. Balancing the complexity of large datasets with the need for clear, actionable visuals can be demanding, especially when stakeholders have varying levels of data literacy. Effective communication, prioritizing user experience, and iterative feedback are crucial for overcoming these hurdles and delivering impactful visual solutions.

What does a Data Visualization Manager do?

A Data Visualization Manager leads teams in designing and implementing visual representations of data to help organizations make informed decisions. They collaborate with data analysts, business stakeholders, and IT professionals to translate complex data sets into clear, actionable insights through dashboards, charts, and interactive reports. Their role also involves ensuring data accuracy, selecting appropriate visualization tools, and maintaining best practices in data storytelling. Additionally, they often provide guidance and training to team members on effective visualization techniques.

What is the difference between Data Visualization Manager vs Data Analyst?

AspectData Visualization ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; experience in data visualization toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeads visualization teams, collaborates with stakeholders, manages projectsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firmsCommon in finance, healthcare, marketing, and research organizations

The Data Visualization Manager focuses on leading teams and overseeing visualization projects, while the Data Analyst primarily analyzes data and creates visual reports. Both roles require strong skills in data tools, but the manager role emphasizes leadership and project management, whereas the analyst role centers on data interpretation and reporting.

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 Manager jobs in New York? For Data Visualization Manager jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Visualization Manager jobs in New York look for? The top searched job categories for Data Visualization Manager jobs in New York are:
What cities in New York are hiring for Data Visualization Manager jobs? Cities in New York with the most Data Visualization Manager job openings:
Data Visualization Manager jobs near you
Infographic showing various Data Visualization Manager job openings in New York as of June 2026, with employment types broken down into 24% Full Time, 60% Part Time, 4% Temporary, 11% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% 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 21 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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