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Data Visualization Faculty Jobs (NOW HIRING)

$75K - $92K/yr

... as Data Visualization, Data Analytics, AI, ML). The candidate will participate in Department ... Faculty must maintain a regular minimum of 9 hours of office hours on campus. Requested Minimum ...

$75K - $92K/yr

... as Data Visualization, Data Analytics, AI, ML). The candidate will participate in Department ... Faculty must maintain a regular minimum of 9 hours of office hours on campus. Requested Minimum ...

Adjunct Faculty Business Analytics Department of Business Administration UMGC Stateside Location ... Statistical software and data visualization tools are used to make informed data-driven decisions ...

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Data Visualization Faculty information

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$54K

$109.5K

$161.5K

How much do data visualization faculty jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data visualization faculty 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 faculty do?

A Data Visualization Faculty member teaches students how to represent complex data visually using charts, graphs, and interactive dashboards. They develop and deliver coursework on visualization best practices, tools, and theory, often incorporating hands-on projects and real-world datasets. Additionally, they may conduct research, mentor students, and stay updated on emerging trends in data visualization and analytics. Their goal is to equip students with the skills needed to communicate data-driven insights effectively.

What are some common challenges data visualization faculty face when designing curriculum and teaching students?

Data Visualization Faculty often encounter the challenge of balancing theoretical concepts with hands-on technical skills, ensuring students gain both foundational knowledge and practical experience with current tools. Adapting curriculum to keep pace with evolving software and industry trends can also be demanding. Additionally, faculty must address varying levels of student proficiency and foster an environment where students can develop both creative and analytical approaches to visual storytelling. Collaboration with colleagues in related fields, such as computer science or statistics, is often required to provide a comprehensive learning experience.

What are the key skills and qualifications needed to thrive as a data visualization faculty, and why are they important?

To thrive as a Data Visualization Faculty, you need expertise in data analysis, visual storytelling, and a strong understanding of design principles, typically backed by an advanced degree in a relevant field. Familiarity with tools and programming languages such as Tableau, Power BI, D3.js, Python, or R is essential, along with experience using educational learning management systems. Strong communication, mentorship, and curriculum development skills help engage students and foster a collaborative learning environment. These competencies ensure effective teaching, the ability to translate complex data into accessible visuals, and successful student outcomes.

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

AspectData Visualization FacultyData Analyst
Required CredentialsTypically requires advanced degrees in data science, computer science, or related fields; teaching experience is commonBachelor's or master's degree in data analysis, statistics, or related fields; certifications like Tableau or Excel often preferred
Work EnvironmentAcademic settings, universities, or training programs; focus on teaching and researchCorporate, government, or consulting environments; focus on data interpretation and reporting
Employer & Industry UsageEducational institutions, training centers, research organizationsBusinesses, government agencies, consulting firms

While Data Visualization Faculty primarily focus on teaching and research in academic settings, Data Analysts apply visualization skills directly to analyze and interpret data within organizations. Both roles require strong visualization skills, but their work environments and objectives differ significantly.

What are popular job titles related to Data Visualization Faculty jobs?

For Data Visualization Faculty jobs, the most frequently searched job titles are:

Infographic showing various Data Visualization Faculty job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $109,451 per year, or $52.6 per hour.

Student Success Data Analyst

Waltham, MA • On-site

The Chronicle Of Higher Education, Inc.
Newspaper Publishers • 201 - 500 employees

Other

Posted 24 days ago


Key responsibilities

  • Collect, analyze, and communicate student success data through reports, dashboards, and presentations.

  • Partner with campus colleagues to compare student success indicators with pre- and post-university data and support data governance projects.

  • Build and maintain data dashboards, facilitate training on their use, and support data analysis for student success programs.


Job description

Job Description Summary

Reporting to the Associate Provost for Student Success, the Student Success Data Analyst provides data analysis to support data-informed decision making within the Office of Student Success and the division of Academic Affairs. The analyst will perform descriptive analyses to identify inequalities in the student experience and institutional performance gaps; they will perform diagnostic analyses to lead the team to deeper understanding of the student experience; they will also perform predictive and prescriptive analyses to help the student success team design and implement interventions to increase student success. The ideal candidate possesses the technical and mathematical skills to mine, analyze, and visualize complex data sets and the communication skills to translate numbers into narratives that inspire campus partners and drive data-informed action across the university.

Essential Duties and Responsibilities:
  • Collect, analyze, and communicate student success data consistently and in real time, including quarterly, biannual, and annual reporting.
  • Compare real time data to historical data to identify trends and/or changes in student success indicators.
  • Partner with colleagues across campus, including in Enrollment Management, Student Affairs, Academic Affairs, and Advancement to compare student success indicators to pre-university inputs and post-university outputs.
  • Partner with colleagues in Information Technologies in support of the university’s enterprise-wide data analytics and data governance projects.
  • Analyze students’ academic performance in comparison to non-academic data points to paint a holistic picture of the overall student experience.
  • Build and maintain student success data dashboards and design and facilitate training to campus partners on how to use those dashboards.
  • Partner with IT to serve as a leader within Academic Affairs for modernizing data management, data governance, and data literacy of student success key performance indicators (KPIs).
  • Run reports and analyses of data within Navigate 360 for the Office of Student Success and support campus partners who use the platform in running their own reports and analyses.
  • Provide ongoing qualitative and quantitative data collection and analysis of various student success programs, including the Falcon Discovery Seminar, the Honors program, Academic Integrity, and FirstGen Presidential Fellows.
  • Communicate data analysis to various university audiences through data visualization, oral presentations, dashboards, and written reports.
  • Collaborate with the Academic Technologies Center on faculty and student use of the learning management system to improve the learning experience within that environment and make it more equitable.
  • Partner with the associate provost for student success to tell stories with data that measure the impact community members’ engagement with students has on student success indicators and their educational experience, with a particular emphasis on faculty engagement.
  • Serve as a thought-leader and role model within the Office of Student Success relative to leveraging generative artificial intelligence to enhance business processes and deepen analytic insights.
Minimum Qualifications:
  • Bachelor’s degree with a minimum of three years’ work experience.
  • Demonstrated experience in data mining, hygiene, and analysis.
  • Excellent data visualization, oral presentation, and written communication skills.
  • Strong interpersonal, critical thinking, problem solving, and organizational skills.
  • Experience with a variety of technology used in higher education (e.g. Workday Student, Banner, People Soft, Slate, Navigate 360, degree audit programs, learning management systems, etc.), Microsoft Excel, and Power BI.
  • Ability to explain data and corresponding analyses to a variety of constituencies who may have a limited understanding of data analysis and technology.
  • Commitment to diversity, equity, and inclusion and to using data to close equity gaps and increase inclusion amongst different demographic populations.
  • Demonstrated ability to prioritize and manage multiple projects at the same time and meet deadlines.
Preferred Qualifications:
  • Experience working in Higher Education.
  • Experience using D2L Brightspace or other learning management systems.
  • Experience using Power BI.
  • Ability to create real time business specific dashboards that provide actionable information.
  • Experience using data to drive decisions that close equity gaps and increase inclusion amongst different demographic populations.
Work Environment:
  • Typical office setting with extensive sitting and computer work. Regular in-person meetings and presentations with the option of flexible work-from-home capability when needed or appropriate.
  • Ability to travel around campus for meetings and other work-related events.

Bentley University requires reference checks and may conduct other pre-employment screening.

DIVERSITY STATEMENT

Bentley University strives to create a campus community that welcomes the exchange of ideas, and fosters a culture that values differences and views them as a strength in our community.

Bentley University is an Equal Opportunity Employer, building strength through diversity. The University is committed to building a community of talented students, faculty and staff who reflect the diversity of global business. We strongly encourage applications from persons from underrepresented groups, individuals with disabilities, covered veterans and those with diverse experiences and backgrounds.

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