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Senior Data Visualization Jobs (NOW HIRING)

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

Overview The Senior Data Scientist will support our customers initiatives by developing/maintaining ... Working with data visualization tools and creating data visualization concepts * Experience ...

Possess the expertise to communicate complex technical and programmatic information to senior ... Data Visualization and Decision Support. The employee shall: * Design, develop, and maintain ...

The Data Visualization Specialist supports Public Health programs by transforming complex health ... Ability to communicate complex technical information effectively to senior leaders and diverse ...

Description The Data Visualization Specialist supports Public Health programs by transforming ... Ability to communicate complex technical information effectively to senior leaders and diverse ...

Data VIsualization Specialist

Dayton, OH · On-site

$110K - $125K/yr

Job Type Full-time Description The Data Visualization Specialist supports Public Health programs by ... Ability to communicate complex technical information effectively to senior leaders and diverse ...

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Senior Data Visualization information

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$81

How much do senior data visualization jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for senior data visualization in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

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

AspectSenior Data VisualizationData Analyst
Required SkillsAdvanced data visualization tools, storytelling, designData manipulation, basic visualization, statistical analysis
Work EnvironmentDesign-focused, cross-functional teamsData-focused, business intelligence teams
CertificationsData visualization tools (Tableau, Power BI)Excel, SQL, basic analytics certifications

Senior Data Visualization roles focus on creating compelling visual stories from complex data, often requiring advanced design and storytelling skills. Data Analysts perform broader data analysis, including data cleaning, statistical analysis, and reporting. While both roles work with data, Senior Data Visualization emphasizes visual communication, whereas Data Analysts focus on data interpretation and insights.

Is data visualization in high demand?

Data visualization is in high demand across industries as organizations seek to interpret large data sets effectively. Senior data visualization professionals with skills in tools like Tableau, Power BI, or D3.js are increasingly sought after to support data-driven decision making.

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 offers opportunities across industries, often requiring strong analytical skills and knowledge of data tools, with demand expected to grow as organizations rely more on data-driven decision making.

What is a Senior Data Visualization specialist?

A Senior Data Visualization specialist is an experienced professional who designs, builds, and manages advanced visual representations of data to help organizations make informed decisions. They work with complex datasets, use tools like Tableau, Power BI, or D3.js, and collaborate with data analysts, engineers, and business stakeholders. Their responsibilities often include translating data insights into clear dashboards, interactive reports, and visual stories that communicate trends, patterns, and actionable intelligence. In addition to technical skills, they often mentor junior team members and contribute to setting best practices in visualization and data storytelling.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data visualization professional or entering data science. Many individuals successfully transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data tools, often through online courses or certifications. Experience, continuous learning, and a strong portfolio are more important than age in this field.

What are some common challenges faced by Senior Data Visualization professionals when collaborating with non-technical stakeholders?

Senior Data Visualization professionals often encounter challenges when translating complex data insights into visuals that are easily understood by non-technical stakeholders. It’s crucial to balance accuracy and clarity, ensuring that visuals tell a compelling story without overwhelming the audience with technical jargon. Effective communication and active listening are key, as is iterating on visual prototypes based on stakeholder feedback. Building strong relationships with cross-functional teams helps ensure that the final product meets both business objectives and user needs.

What are the key skills and qualifications needed to thrive as a Senior Data Visualization specialist, and why are they important?

To excel as a Senior Data Visualization specialist, you need expertise in data analysis, design principles, and proficiency with data visualization concepts, usually backed by a degree in data science, statistics, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and programming languages such as Python or R is commonly required. Strong communication, storytelling ability, and attention to detail are crucial soft skills for conveying complex data insights to diverse audiences. These competencies ensure that data-driven findings are accessible, actionable, and valuable to stakeholders across the organization.

Will AI replace data analyst?

AI tools can automate routine data processing and visualization tasks, but senior data visualization professionals are essential for interpreting complex data, designing effective visualizations, and providing strategic insights. AI complements these roles by enhancing efficiency, but human expertise remains critical for nuanced analysis and decision-making. Skills in data storytelling and proficiency with visualization software like Tableau or Power BI are valuable in this evolving environment.
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What states have the most Senior Data Visualization jobs? States with the most job openings for Senior Data Visualization jobs include:
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Infographic showing various Senior Data Visualization job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Senior Data Visualization Designer

Senior Data Visualization Designer

Moody's Corporation

New York, NY

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role.

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 

Skills and Competencies

  • 5+ years of professional front-end development experience, and a track record of exceptional work: A strong portfolio of production-quality interactive data stories and prototypes.
  • Proven ability to translate design concepts into responsive, accessible, and high-performing front-end experiences.
  • Strong editorial and storytelling instincts, with the ability to communicate complex data through compelling visual narratives and clear points of view.
  • Excellent collaboration and communication skills, with experience partnering closely with designers, analysts, editorial teams, and leadership while explaining technical concepts to non-technical stakeholders.
  • Strong foundation in design principles, including grid systems, typographic hierarchy, layout composition, and editorial design sensibilities.
  • Expert-level proficiency in HTML, CSS, and JavaScript, with hands-on experience using D3, Canvas, or similar data visualization libraries; proficient in at least one analytical programming language, such as R or Python, and able to apply statistical thinking to real-world problems.
  • Experience working with modern JavaScript frameworks such as Svelte, as well as familiarity with Adobe Creative Cloud tools (Illustrator and Photoshop), web production workflows and Mac OS environments; proven ability to leverage AI tools to streamline workflows and enhance operational efficiency while being aware of AI risk management with a commitment to responsible and ethical AI use.
  • Preferred: Experience with geospatial tools such as QGIS; exposure to WebGL or creative coding frameworks (e.g., P5.js, Three.js); experience with 3D tools such as Cinema 4D or Blender; and motion graphics or video editing capabilities.

Education

  • Bachelor's degree in Design, Computer Science, Digital Media, Data Visualization, Journalism, Information Design, or a related field, or equivalent professional experience
  • Advanced training or certifications in data visualization, front-end development, user experience design, analytics, or emerging technologies is preferred

Responsibilities

Own the build and evolution of award-worthy interactive data experiences that blend storytelling, design, and technology.

  • Design and deliver interactive and static data visualizations that communicate complex financial, economic, and risk-related insights.
  • Partner with analysts, editors, designers, and business stakeholders to identify storytelling opportunities and create compelling digital experiences.
  • Build responsive, accessible, and high-performing front-end experiences from concept through production using modern web technologies.
  • Explore and analyze datasets to uncover insights and recommend innovative approaches for visual communication and audience engagement.
  • Develop and maintain reusable visualization components, design systems, and technical standards that improve scalability and consistency.
  • Evaluate and integrate emerging technologies, including AI-enabled solutions, to enhance storytelling capabilities and operational efficiency.
  • Serve as a trusted technical advisor and mentor, promoting best practices, innovation, and continuous improvement across the team.
  • Represent the team's technical perspective in cross-functional discussions, helping translate strategic objectives into engaging digital experiences.

About the Team

Our Data Story Team within Moody's StoryLab is responsible for transforming complex information into compelling visual journalism, interactive experiences, and data-driven storytelling that elevate Moody's brand and thought leadership. The team operates at the intersection of editorial strategy, design, technology, and analytics, helping global audiences better understand financial, economic, geopolitical, and emerging risk trends.

By joining this team, you will collaborate with analysts, editors, designers, and technologists who are passionate about turning data into meaningful stories that inform decisions and create impact.

View our work: Moody's Data Visualizations

For US-based roles only: the anticipated hiring base salary range for this position is $75,600 - $124,700.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.