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Data Visualization Manager Jobs in New York (NOW HIRING)

... visualization techniques - Identify patterns and trends in data to provide insights and ... management and data warehousing principles is a plus Why Work With Us? At AYS Inc, we value our ...

... M practice. Working on a wide variety of initiatives, you will analyze massive amounts of data ... Development and implementation of analytics reporting and visualization dashboards. Development and ...

Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

Experience with data visualization tools and platforms such as Tableau, Power BI, or similar ... manage end to end RTB, tech mandates and active development Ability to communicate technical ...

Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

Experience with data visualization tools and platforms such as Tableau, Power BI, or similar ... manage end to end RTB, tech mandates and active development Ability to communicate technical ...

... data visualization best practices A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our ...

Showing results 41-60

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 Aug 7, 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 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:
Infographic showing various Data Visualization Manager job openings in New York as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $119,743 per year, or $57.6 per hour.

Manager People Data Insights

JetBlue Airways Corporation

Long Island City, NY

Full-time

Medical, Life, Retirement

Posted 29 days ago


JetBlue rating

7.4

Company rating: 7.4 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

11th of 26 rated airlines


Job description

Position Title: Manager, People Data Insights

Position Summary:

At JetBlue, our mission is to inspire humanity. The People Data Insights team is uniquely positioned to inspire our crewmembers by using expertise in analytics, data, research, and psychology to help leaders make informed, people-centered decisions. The team provides insights across the crewmember lifecycle, including selection and assessment, listening strategy, attrition, internal mobility, engagement, workforce metrics, dashboards, and organizational research.

The Manager, People Data Insights will serve as the primary owner of the team’s People data infrastructure, reporting ecosystem, and reusable analytics products. This role is responsible for building, maintaining, and continuously improving the data pipelines, curated datasets, reporting tools, dashboards, and data products that enable the People Data Insights team, People Business Partners, Compensation, senior leaders, and other stakeholders to understand workforce trends and take action. The Manager will work across multiple People data sources and systems to ensure data are accurate, clean, accessible, and decision-ready. This includes maintaining pipelines into Snowflake, developing reproducible analytics workflows using R and GitHub, creating dashboards in Tableau, building reporting products using R Markdown/flexdashboard, and translating complex workforce data into clear insights for diverse audiences.

This role requires a rare combination of deep technical expertise, strong data visualization and storytelling skills, People analytics domain knowledge, and consultative partnership. The Manager will not only maintain the data foundation for the team but will also help leaders and partners use data in meaningful ways to understand workforce risks, identify trends, evaluate options, and guide business decisions.

Essential Responsibilities:

  • Own and maintain People Data Insights data infrastructure, including data pipelines, curated datasets, data quality checks, documentation, and processes that ensure data are accurate, timely, and analysis-ready
  • Clean, integrate, and manage data from multiple People systems and sources, including maintaining pipelines into Snowflake and supporting appropriate access to reliable workforce data
  • Serve as a liaison between People Data Insights and IT to support data access, systems understanding, data governance, Snowflake migration, and infrastructure improvements
  • Build and maintain reproducible analytics workflows using R, GitHub, R Markdown, flex dashboard, and other tools to support scalable reporting, dashboards, analysis, and automation
  • Lead recurring People reporting cadences, including weekly, monthly, and quarterly reports, key risk indicators, and other leader-facing workforce reports, with clear summaries of key findings, trends, and risks
  • Develop and maintain dashboards that help leaders and partners explore workforce trends, understand key metrics, and identify areas for action
  • Build and maintain scalable data products, reporting packages, and analytics tools, such as talent profiles, organizational span reports, workforce trend packages, and other resources that support major People and business processes
  • Apply data visualization and user-centered design principles to ensure dashboards, reports, and analytics products are clear, intuitive, and appropriate for varied business audiences
  • Fulfill ad hoc People metrics and research requests for People and non-People audiences, ensuring outputs are accurate, clearly communicated, and appropriate for the business question
  • Conduct deeper analytic projects related to attrition, engagement, mobility, workforce structure, selection, assessment, and other People priorities
  • Translate complex data, metrics, and analyses into clear, concise insights and recommendations for leaders and stakeholders with varying levels of technical expertise
  • Partner with People Business Partners, Compensation, IT, and other cross-functional teams to clarify stakeholder needs, troubleshoot data issues, improve processes, and develop scalable solutions
  • Provide technical guidance and support to team members on data structure, R, GitHub, reporting automation, dashboards, and reproducible analytics practices
  • Ensure People data are used ethically, responsibly, and in alignment with privacy, governance, and business expectations
  • Identify opportunities to improve data quality, reporting efficiency, automation, documentation, and the overall user experience of People analytics products
  • Other duties as assigned

Minimum Experience and Qualifications:

  • Bachelor’s Degree in Industrial/Organizational Psychology, Human Resources, Data Science, Statistics, Business Analytics, Information Systems, Computer Science, or a related field
  • At least five (5) years of experience in people analytics, workforce analytics, data analytics, business intelligence, HR reporting, data engineering, or a related field
  • Advanced experience using R for data cleaning, analysis, reporting, automation, and/or dashboard development
  • Experience using GitHub or similar version control tools to manage code, collaborate, and maintain reproducible workflows
  • Experience working with Snowflake, SQL, or similar database environments
  • Experience developing dashboards, reports, or data visualization products using Tableau, R Markdown, flex dashboard, or similar tools
  • Demonstrated ability, through a work sample, to clean, join, validate, document, analyze, and communicate insights from complex data using clear reports, dashboards, or data visualizations
  • High level of organization, accuracy, attention to detail, and follow-through
  • Strong written, verbal, and presentation skills, including the ability to explain technical concepts and complex data in simple language
  • Ability to manage multiple recurring deliverables, ad hoc requests, and longer-term projects in a fast-paced environment
  • Ability to work cross-functionally with partners in People, Compensation, IT, and business leadership roles
  • Strong Microsoft Office skills, including Excel and PowerPoint
  • Available for occasional overnight travel (10%)
  • Must pass pre-employment drug test
  • Must be legally eligible to work in the country in which the position is located
  • Authorization to work in the US is required, this position is not eligible for visa sponsorship 

Preferred Experience and Qualifications:

  • Masters or Ph.D. in Industrial/Organizational Psychology, Human Resources, Data Science, Statistics, Business Analytics, Information Systems, Computer Science, or a related field
  • Seven (7) years of experience in people analytics, workforce analytics, data analytics, business intelligence, HR reporting, data engineering, or a related field
  • Expert-level experience using R for reproducible analytics, automated reporting, and dashboard development
  • Advanced SQL experience and/or experience designing data models for analytics and reporting
  • Experience developing R Markdown, Quarto, flexdashboard, Shiny, or similar reporting products
  • Experience with HRIS, applicant tracking, learning, engagement survey, compensation, or other People systems
  • Experience partnering with IT or data governance teams to improve data access, documentation, quality, and infrastructure
  • Experience with People analytics, employee listening, selection and assessment, attrition research, organizational design, or workforce risk metrics
  • Strong consulting skills, including the ability to clarify stakeholder needs, frame analytic questions, and guide leaders toward meaningful action

Crewmember Expectations:

  • Regular attendance and punctuality
  • Potential need to work flexible hours and be available to respond on short notice
  • Able to maintain a professional appearance
  • When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft
  • Must be an appropriate organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun
  • Promote JetBlue’s #1 value of safety as a Safety Ambassador, supporting JetBlue’s Safety Management System components, Safety Policy, and behavioral standards
  • Identify safety and/or security concerns, issues, incidents, or hazards that should be reported and report them whenever possible and by any means necessary, including JetBlue’s confidential reporting systems
  • The use of ChatGPT or any other automated tool during the interview process will disqualify a candidate from being considered for the position.

Equipment:

  • Computer and other office equipment

Work Environment:

  • Traditional office environment

Physical Effort:

  • Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. Sedentary.

Compensation:

  • The base pay range for this position is between $114,000.00 and $170,000.00 per year. Base pay is one component of JetBlue’s total compensation package, which may also include performance bonuses, restricted stock units, as well as access to healthcare benefits, a 401(k) plan and company match, crewmember stock purchase plan, short-term and long-term disability coverage, basic life insurance, free space available travel on JetBlue, and more.

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