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Senior Data Visualization Analyst Jobs (NOW HIRING)

VAST Data

Sr. Data Analyst (Sales)

Manhattan, NY · On-site +1

$94K - $119K/yr

Data Visualization: Develop and maintain automated Tableau dashboards that provide real-time ... analytics team and business function. Ability to influence senior leaders and drive cross ...

Futran Tech Solutions Pvt. Ltd.

Sr. Data Analyst

$88K - $111K/yr

Sr. Data Analyst, North America Location: Remote Note: We are requesting a part-time (50%) Sr Data ... What will you bring: * 5+ years working in an analytics role. * 3+ years Data Visualization ...

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How much do senior data visualization analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for senior data visualization analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Data Visualization Analyst, you need advanced analytical skills, expertise in data interpretation, and a background in statistics or computer science, often supported by a relevant bachelor’s or master’s degree. Proficiency in data visualization tools like Tableau or Power BI, as well as knowledge of SQL and programming languages such as Python or R, is typically required. Strong communication, attention to detail, and the ability to translate complex data into actionable insights are essential soft skills. These skills are vital for transforming raw data into meaningful visual stories that support strategic business decision-making.

What does a Senior Data Visualization Analyst do?

A Senior Data Visualization Analyst is responsible for transforming complex data sets into clear, visually engaging reports, dashboards, and presentations to help organizations make informed decisions. They use data visualization tools like Tableau, Power BI, or D3.js to create interactive visualizations and often collaborate with data scientists, business stakeholders, and IT teams. In addition to technical skills, they must understand business objectives to effectively communicate insights and trends through their visualizations.

How do Senior Data Visualization Analysts typically collaborate with cross-functional teams to drive impactful business insights?

Senior Data Visualization Analysts often work closely with data scientists, business analysts, and key stakeholders to translate complex data into actionable visual stories. They lead the design and development of interactive dashboards and reports, ensuring that visualizations align with business objectives and user needs. Regular collaboration involves gathering requirements, iterating on prototypes, and presenting findings to both technical and non-technical audiences. This cross-functional teamwork is essential for delivering insights that support strategic decision-making and drive business outcomes.
What cities are hiring for Senior Data Visualization Analyst jobs? Cities with the most Senior Data Visualization Analyst job openings:
What are the most commonly searched types of Data Visualization Analyst jobs? The most popular types of Data Visualization Analyst jobs are:
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Senior Data Visualization Analyst jobs near you
Senior Data Visualization Developer

Senior Data Visualization Developer

Essnova Solutions, Inc.

Huntsville, AL

Full-time

Posted 18 days ago

Job description

Essnova Solutions, Inc. is an award-winning SBA 8(a) and HUBZone-certified small business delivering advanced technology and professional services to federal, state, local, and commercial clients. Our expertise spans geospatial, healthcare, and environmental solutions, and we are committed to supporting agencies with high-impact, compliance-driven projects.
We are seeking a Senior Data Visualization Developer to serve as the technical lead for the National Center for Health Statistics (NCHS) visualization and solutions development. This role is pivotal in driving the end-to-end lifecycle of data visualization products, ensuring accuracy, accessibility, and compliance with federal standards. You will architect reusable visualization components, bridge communication between statisticians and developers, and uphold rigorous data validation and accessibility requirements.
Key responsibilities include:
  • Lead the technical execution of NCHS visualization and solutions development tasks, overseeing the full development lifecycle from requirements gathering to deployment and documentation.
  • Make strategic decisions on visualization tool selection (e.g., Tableau, Power BI, R/Shiny, Python/Dash, D3.js) and architect/build/maintain a reusable component library for NCHS.
  • Develop and maintain automated data validation scripts to ensure compliance with statistical accuracy and suppression logic.
  • Translate requirements between statisticians and developers by producing implementable specifications, including data models, query patterns, suppression logic rules, and annotated wireframes.
  • Conduct and oversee Section 508/WCAG accessibility testing using automated and manual screen reader tools in coordination with project management methodology.
  • Provide technical guidance on data architecture, technology risk assessment, and enterprise architecture artifacts, including process and data-flow diagrams.
  • Support Adobe Analytics administration and reporting as needed.
  • Collaborate closely with Data Engineers and PMs to ensure compliance with federal statistical agency standards and protected data requirements.

Requirements

Required Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
  • 7+ years of data visualization development experience in federal agencies or compliance-driven environments
  • Advanced proficiency in at least three of the following: Tableau, Power BI, R (ggplot2/Shiny/R Markdown), Python (plotly/Dash/pandas/matplotlib), D3.js, with working proficiency in the remaining tools
  • Experience serving as technical lead for end-to-end data visualization development, including requirements, preprocessing, design, build, review, accessibility testing, deployment, and documentation
  • Experience presenting statistical data, including confidence intervals, weighted estimates, and suppression rules
  • Experience conducting Section 508 / WCAG 2.0 Level AA accessibility testing using automated tools (axe or WAVE) and manual screen reader testing (JAWS or NVDA)
  • Proficiency with Git for code reviews and embedded documentation, and SQL for analytics/visualization data needs
  • Experience translating requirements between statisticians and developers by producing implementable specifications (data models, query patterns, annotated wireframes)
  • Experience administering and reporting with Adobe Analytics or equivalent digital analytics platforms
  • Active Tier 4 / High Risk Public Trust (Level 6+) clearance at time of proposal submission and eligibility for HSPD-12/PIV credentialing
  • Currently located in the United States and able to overlap core working hours in Eastern Time
Preferred Qualifications:
  • Master's degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
  • Experience with NCHS, CDC, or federal statistical data environments
  • Experience applying machine learning techniques to analysis or visualization tasks
  • Familiarity with HHS EPLC or equivalent federal project lifecycle methodologies

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