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Senior Data Visualization Designer Jobs (NOW HIRING)

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 ...

Ubertal Inc

Senior Data Architect

Tallahassee, FL · On-site

$64 - $85.50/hr

Provide expert guidance on data visualization and reporting best practices to optimize business ... designing, implementing, and maintaining data models and ETL processes * 10+ years of broad ...

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How much do senior data visualization designer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for senior data visualization designer in the United States is $56.39, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $62.74 per hour, depending on experience, location, and employer.

How does a Senior Data Visualization Designer typically collaborate with data scientists and stakeholders on projects?

A Senior Data Visualization Designer often serves as a bridge between data scientists, who generate insights, and business stakeholders, who need to understand those insights clearly. They participate in project meetings to gather requirements, review preliminary data, and discuss goals and potential use cases. Designers work closely with data scientists to ensure accurate representation of findings, while also consulting stakeholders to refine visuals for clarity and impact. This role requires strong communication skills and the ability to translate complex data into compelling, user-friendly visuals that support informed decision-making.

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

To thrive as a Senior Data Visualization Designer, you need expertise in data analysis, graphic design, and a strong foundation in statistics, usually supported by a degree in design, computer science, or a related field. Proficiency with tools such as Tableau, Power BI, D3.js, Adobe Creative Suite, and data querying languages like SQL is typically required. Strong communication, storytelling abilities, and attention to detail help you convey complex data insights clearly and effectively to diverse audiences. These skills ensure that data-driven decisions are supported by clear, compelling visual narratives that drive business impact.

What does a Senior Data Visualization Designer do?

A Senior Data Visualization Designer is responsible for creating clear, compelling, and interactive visual representations of complex data to help businesses and stakeholders make informed decisions. They work closely with data analysts, engineers, and business leaders to understand data requirements and translate them into visual formats such as dashboards, charts, and infographics. Their role also involves ensuring that visualizations are accessible, accurate, and aligned with user needs, while often mentoring junior designers and setting visualization standards within the organization.

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

AspectSenior Data Visualization DesignerData Analyst
Required SkillsAdvanced visualization tools, design principles, storytellingData manipulation, statistical analysis, reporting
Work EnvironmentDesign-focused, creative teams, cross-functional projectsData-driven, business intelligence, reporting teams
Common CertificationsData visualization certifications, UX/UI designSQL, Excel, statistical certifications

While both roles work with data, a Senior Data Visualization Designer primarily focuses on creating compelling visual representations to communicate insights, whereas a Data Analyst emphasizes analyzing data sets to generate reports and support decision-making. The roles often collaborate but differ in their core responsibilities and skill sets.

What cities are hiring for Senior Data Visualization Designer jobs? Cities with the most Senior Data Visualization Designer job openings:
What are the most commonly searched types of Data Visualization Designer jobs? The most popular types of Data Visualization Designer jobs are:
What states have the most Senior Data Visualization Designer jobs? States with the most job openings for Senior Data Visualization Designer jobs include:
Senior Data Visualization Designer jobs near you
Senior Data Scientist

Senior Data Scientist

Tecolote Research

Chantilly, VA

Full-time

Posted 22 days ago

Job description

Overview
The Senior Data Scientist will support our customers initiatives by developing/maintaining/analyzing data sets in order to create models and determinate potential outcomes. The position is immediately available for qualified candidates with the appropriate clearance.
Responsibilities
The Senior Data Science Analyst shall be able to demonstrate experience and expertise in the following:
  • Programming languages such as Python(inclusive of libraries that are used in data science e.g. numpty, pandas, and scipy); R; Julia (dynamic programming language), or other programming languages.
  • The development of frameworks for creating and integrating machine learning models such as TensorFlow, Pytorch, Jupyter Notebook and or Apache Hadoop
  • The development and use of Visualizatin Tools to create interactive scientific graphing capabilities. These capabilities and experience can be a combination of tool familiarity exhibited with competency in Plotly, Tableau, PowerBI, Qlik, and/or Google Charts
  • Understanding of relevant statistical measures, development and evaluation of data sets.

Skills Required
The Senior Data Science Analyst shall apply the principles, theories and analytical methods of Data Science Analysis, which encompasses the following:
  • Tool and method development by using high-level modeling, machine learning techniques, and software languages
  • Hypothesis development and validation of budget and schedule sufficiency/achievability and risk parameters
  • Working with data visualization tools and creating data visualization concepts
  • Experience developing queries and reports, parsing and merging data from complex datasets
  • Establishing and integrating large datasets, data entry , data conditioning and cleaning, data mining and end-to-end database management
  • Developing customer-facing reporting tools to provide timely and accurate decision-support and information
  • Understanding of how data science enables cost estimating, IPM and cross program analysis for comprehensive, data driven methods and assessments.

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.

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