Visiting Professor, Data Analytics

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🔥 2 hours ago

🌵 Arizona, California, +1 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote 🔔 Pennsylvania – Remote

💵 $1.5k - $2.7k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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Dayforce

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🤝 B2B

💰 $1G Post-IPO Debt - Dayforce on 2024-03

HR Tech • SaaS • B2B

Dayforce is a cloud-based human capital management (HCM) and workforce management platform. It provides an integrated application for payroll, HR, benefits, time and attendance, scheduling, and talent management, designed for employers to manage the employee lifecycle. Dayforce is delivered as a SaaS solution primarily to business and enterprise customers.

📋 Description

• Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus • Organizes, prepares, and regularly revises and updates all course materials. • Uses appropriate technological options for online technologies and course-related software • Models effective oral and written communications that engage the students • Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories. • Ensures that the content and level of material included on exams correspond to the course terminal objectives. • Demonstrates consistency and fairness in the preparation and grading of exams • Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes. • Completes other duties as assigned.

🎯 Requirements

• 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 • 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, combined with effective communication skills and the 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. • Commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices.

🏖️ Benefits

• Comprehensive faculty training program • Ongoing faculty development activities