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Data Visualization Instructor Jobs (NOW HIRING)

... Visualization). * 10 years of experience focusing on the concepts and applications of data ... Department of Defense (DoD) Basic Instructor Certification. Overview Overview Noblis and our wholly ...

Responsibilities Noblis is seeking a Data Scientist/Instructor in Springfield VA. This role will ... Data Visualization). * GEOINT experience. Overview Overview Noblis and our wholly owned ...

... for as an instructor: * Introduction to R/Python for Data Science, * Introduction to Data Visualization, * Data Communication, * Introduction to AI Ethics, * Data Science for Social Good,

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Data Visualization Instructor information

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$54K

$109.5K

$161.5K

How much do data visualization instructor jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data visualization instructor in the United States is $109,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $123,000.00 per year, depending on experience, location, and employer.

What does a Data Visualization Instructor do?

A Data Visualization Instructor teaches students how to present data in clear, engaging, and informative ways using visual tools and techniques. They design curriculum, lead workshops or classes, and demonstrate the use of software like Tableau, Power BI, or Python libraries such as Matplotlib and Seaborn. Instructors help students understand the principles of effective visual communication and guide them in creating charts, graphs, dashboards, and interactive data visualizations for real-world datasets.

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

To thrive as a Data Visualization Instructor, you need expertise in data analysis, design principles, and data visualization tools, often supported by a relevant degree or professional experience. Familiarity with tools such as Tableau, Power BI, or programming languages like Python (with libraries such as Matplotlib or Seaborn) is commonly required, along with teaching or instructional certifications. Outstanding communication, patience, and the ability to simplify complex concepts are critical soft skills for effectively teaching diverse learners. These skills ensure students gain practical, industry-relevant abilities and foster engagement and understanding in the classroom.

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

AspectData Visualization InstructorData Analyst
CredentialsTypically requires teaching certifications, data visualization skills, and sometimes a degree in education or related fieldRequires degrees in data science, statistics, or related fields; certifications like Microsoft or Tableau are common
Work EnvironmentPrimarily educational settings, training programs, online courses, workshopsBusiness environments, data teams, consulting firms, or in-house analytics departments
Employer & Industry UsageEducational institutions, training companies, online education platformsCorporations, finance, healthcare, marketing, and other industries requiring data analysis

While both roles involve working with data visualization, a Data Visualization Instructor focuses on teaching and training others in visualization techniques, often within educational or training settings. In contrast, a Data Analyst applies visualization skills to analyze data and support decision-making within organizations.

What are some common challenges faced by Data Visualization Instructors, and how can they be addressed?

Data Visualization Instructors often encounter students with varying levels of technical expertise and familiarity with visualization tools. Balancing course content to accommodate beginners while keeping advanced learners engaged can be challenging. To address this, instructors can provide tiered assignments, encourage collaborative projects, and offer supplemental resources for self-paced learning. Additionally, staying updated on the latest visualization tools and best practices helps instructors deliver relevant, practical lessons that meet diverse learning needs.
Infographic showing various Data Visualization Instructor job openings in the United States as of May 2026, with employment types broken down into 42% Full Time, 53% Part Time, and 5% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $109,451 per year, or $52.6 per hour.
Instructor - Data Visualization with Tableau

Instructor - Data Visualization with Tableau

Fullstack Academy

Remote

$55 - $60/hr

Contractor

Posted 25 days ago


Job description

Job Description - Part-Time Instructor, Data Visualization with Tableau
About Us
Simplilearn is the world's #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more - that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.
Requirements
Position Overview
The Part-Time Instructor for Data Visualisation plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs.
Instructors facilitate curriculum content, support student learning, and connect technical concepts to real-world industry applications. This role involves teaching live online sessions, mentoring students, providing feedback, and contributing to a collaborative instructional environment.
Classes are delivered 100% online in a synchronous format.
Key Responsibilities
  • Deliver live online training sessions on Tableau and data visualization concepts
  • Cover key topics including:
  • Fundamentals of data visualization and storytelling
  • Data organization and preparation in Tableau
  • Creating charts, dashboards, and interactive reports
  • Filters, parameters, and sets
  • Advanced visualization techniques (heat maps, treemaps, etc.)
  • Dashboard design best practices
  • Practical business use cases and case studies
  • Provide hands-on support for lab activities and projects
  • Mentor learners and resolve technical or conceptual queries
  • Conduct assessments, evaluations, or mock sessions when required
  • Maintain session quality metrics and learner engagement
  • Collaborate with internal teams on curriculum updates and feedback

Required Qualifications
  • Bachelor's degree in Data Analytics, IT, Computer Science, or related field
  • Strong hands-on experience with Tableau Desktop/Server
  • Experience in data visualization, business intelligence, or analytics roles
  • Solid understanding of data preparation and interpretation
  • Prior experience delivering online or classroom training preferred
  • Excellent communication and presentation skills
Preferred Skills
  • Tableau certification (Desktop Specialist / Associate / Professional)
  • Knowledge of SQL, Excel, or Python for data analysis
  • Exposure to BI tools like Power BI or Looker
  • Experience in building dashboards for business scenarios
Key Competencies
  • Ability to explain complex concepts clearly
  • Strong learner engagement and facilitation skills
  • Structured and professional virtual delivery
  • Problem-solving and mentoring mindset

Student Support & Mentorship
  • Provide individualized student support during live sessions and scheduled office hours.
  • Maintain regular communication with students regarding progress, expectations, and milestones.
  • Respond to student and staff communications in a timely and professional manner.
  • Provide clear, constructive, and timely feedback on assignments and assessments.
Performance Monitoring
  • Evaluate student progress based on course deliverables and established grading rubrics.
  • Maintain accurate documentation of student performance and engagement.
  • Identify and escalate academic or performance concerns to the Lead Instructor or appropriate staff.
  • Support performance improvement plans when necessary.
Collaboration & Professional Conduct
  • Adhere to institutional policies and instructional team standards.
  • Foster an inclusive, respectful, and professional learning environment.
  • Serve as a role model and mentor for students.
  • Collaborate with instructional staff and program teams to improve the student learning experience.
  • Represent the organization professionally when interacting with students, staff, and external stakeholders.

Work Schedule
Part-Time instructors typically work 10-15 hours per week depending on cohort schedules.
  • The total weekly part-time commitment is expected to be 8-12 hours.
  • Weekday - 06:30 PM CST - 09:30 PM CST (Monday , Wednesday and Thursday)
  • Weekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday)
  • Flexibility for evening availability is required.

Benefits
Compensation
The anticipated pay range for this position is $55 - $60 per hour, depending on qualifications and experience.
This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws.
Equal Employment Opportunity
We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Work Authorization
Applicants must be legally authorized to work in the United States at the time of application and throughout employment.
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