Online Visiting Professor – Data Analytics

DeVry University

. Teach courses and programs in accordance with DeVry University requirements .

Posted 10/13/2026part-timeRemote • United StatesMid-LevelSenior💰 $1,500 - $2,700 per weekWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Analytics, Data Science, and Statistical Analysis, with a strong focus on developing and delivering educational content that incorporates ethical data practices and responsible AI technologies. Effective in communicating complex concepts to diverse learners while maintaining high academic standards.

Highest-signal resume keywords

Doctorate In Data AnalyticsData Analysis ToolsStatistical SoftwareData Visualization PlatformsEffective Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsStatistical AnalysisQuantitative AnalysisData-Driven Decision SupportProgramming Languages For AnalyticsData GovernanceEthical Data PracticesCourse DevelopmentSyllabus DevelopmentExam Preparation

Soft Skills

Effective Oral CommunicationEffective Written CommunicationStudent EngagementClarity In TeachingFeedback Provision

Tools & Technologies

Online Course TechnologiesCourse-Related SoftwareDatabase TechnologiesAI Tools In EducationDigital Literacy Tools

Certifications & Qualifications

Industry-Recognized Certifications In Data AnalyticsProfessional Credentials In Data Science

Industry Keywords

Data ScienceBusiness IntelligenceData Analytics ConceptsResponsible AI PracticesAccreditation Standards

About the role

Key responsibilities & impact

Teach courses and programs in accordance with DeVry University requirements
Develop course syllabi and lesson plans and apply teaching techniques to achieve course and programmatic objectives
Develop and provide students with an approved DeVry University syllabus following the local campus template and including terminal course objectives
Organize, prepare, regularly revise, and update course materials
Use online technologies and course-related software, including websites, email, and online discussions, to prepare courses and make them accessible to students
Model effective oral and written communications that engage students, provide clarity, and improve learning
Set clear course expectations by publishing terminal objectives, assignment and examination dates, and evaluation category weight distributions
Ensure exam content and difficulty correspond to course terminal objectives
Prepare and grade exams consistently and fairly and provide timely student feedback
Embrace and integrate responsible AI technologies in the classroom
Recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work
Complete other duties as assigned

Requirements

What you’ll need

A doctorate in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, or a closely related field is required
At least 18 graduate credit hours in data analytics, statistics, data science, quantitative analysis, or a related computational discipline
Applicants must upload unofficial graduate-level transcripts with their application
Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution determined to hold equivalent accreditation
Three to five years of applied professional experience in data analytics, data science, business intelligence, statistical analysis, or data-driven decision support
Demonstrated experience with data analysis tools and programming environments, including statistical software, data visualization platforms, database technologies, and programming languages used for analytics
Industry-recognized certifications or professional credentials relevant to data analytics, data science, business intelligence, or statistical analysis
Strong subject matter expertise in data analytics concepts and methodologies
Effective communication skills and ability to translate complex quantitative concepts for diverse learners
Knowledge of ethical and responsible data practices, including data governance, privacy considerations, bias awareness, and responsible use of data in decision-making
Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply
Commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices

Benefits

Comp & perks

Comprehensive faculty training program
Ongoing faculty development activities
Face-to-face interaction blended with technology for an enhanced learning environment
DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University’s needs and discretion