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DeVry University

Online Visiting Professor, Data Analytics

DeVry University

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

Posted 11/11/2026part-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 and Data Science, with a strong focus on developing and delivering educational content. Proficient in utilizing online technologies and responsible AI practices to enhance learning outcomes and ensure ethical data use.

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

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalyticsData ScienceStatistical AnalysisQuantitative AnalysisProgramming LanguagesData-Driven Decision SupportCourse DevelopmentSyllabus PreparationExam PreparationStudent Feedback
Soft Skills
Effective Oral CommunicationEffective Written CommunicationAbility To Translate Complex Concepts
Tools & Technologies
Online Course TechnologiesCourse-Related SoftwareEmailWebsitesOnline Discussions
Certifications & Qualifications
Industry-Recognized Certifications In Data AnalyticsProfessional Credentials In Data Science
Industry Keywords
Data GovernanceData PrivacyBias AwarenessResponsible Data UseEthical Data Practices

About the role

Key responsibilities & impact
  • Teach courses and programs in accordance with DeVry University requirements
  • Develop course syllabi and lesson plans using appropriate teaching techniques
  • Develop, organize, prepare, revise, and update course materials
  • Use online technologies and course-related software, including websites, email, and online discussions
  • Model effective oral and written communication
  • Publish course objectives, assignment and examination dates, and evaluation-category weightings
  • Ensure exams align with course terminal objectives
  • Prepare and grade exams consistently and fairly, providing timely student feedback
  • Integrate responsible AI technologies to enhance teaching and learning
  • Recognize, evaluate, and address appropriate and inappropriate student use of AI tools
  • Complete other duties as assigned

Requirements

What you’ll need
  • Doctorate in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, or a closely related field required
  • At least 18 graduate credit hours in data analytics, statistics, data science, quantitative analysis, or a related computational discipline
  • Unofficial graduate-level transcripts must be uploaded with the application
  • Degree 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 internationally equivalent accredited institution
  • 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 analytics programming languages
  • 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, bias awareness, and responsible data use
  • 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
  • Opportunity to teach and share industry knowledge with undergraduate and graduate students
  • Reasonable accommodations for individuals with disabilities