Professional in Residence - Data Analytics

Utah Valley University; Orem (UT); On-site; USD 70,000 - 100,000; Full time

Job summary

Utah Valley University invites applications for a Professional in Residence in Data Analytics to teach and mentor students while connecting curriculum with current industry practices. The role blends instructive leadership with real-world analytics exposure, spanning undergraduate and graduate courses.

Applicants should hold a relevant master's degree with substantial data analytics experience and a track record in industry engagement. On-site duties at UVU’s Main Campus in Orem are required.

Qualifications

• Master's degree from an accredited institution in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Operations Research, or a closely related field; or a master's degree in a related business discipline with substantial professional data analytics experience.
• Minimum of 10 years of progressively responsible professional experience in data analytics, business intelligence, data science, analytics consulting, or related field.
• Demonstrated expertise in contemporary analytics tools and technologies used in industry.
• Evidence of maintaining professional currency through industry practice, certifications, or continuing education.
• Demonstrated expertise in data analytics with experience applying methods to support business decisions, with familiarity in strategy, AI, operations, or supply chain contexts.

Responsibilities

• Designs, prepares, and delivers undergraduate and graduate courses in Data Analytics using applied instructional methods across face-to-face, hybrid, livestream, and online modalities.
• Integrates data visualization, statistical analysis, AI-enabled analytics tools, and BI platforms into instruction; assesses and provides timely feedback while fostering inclusion.
• Serves as liaison between UVU and industry partners to ensure curriculum reflects workforce expectations; develops employer-sponsored projects and experiential learning opportunities.
• Advises and mentors students on career paths, skill development, and job-search strategies; participates in committees and curriculum assessment.

Skills

Python

R

SQL

Tableau

Power BI

Excel

AI-enabled analytics tools

Education

Master's degree in Data Analytics

Master's degree in Information Systems

Tools

Tableau

Power BI

Excel

Job description

Professional in Residence - Data Analytics

Salary: Depends on Qualifications

Job Type: FT Faculty

Job Number: FY2706534

Closing: 9/9/2026 11:59 PM Mountain

Location: Main Campus - Orem

Division: VP Academic Affairs

Position Announcement

Join the Woodbury School of Business as a Professional in Residencein Data Analytics and help prepare the next generation of businessprofessionals for success in a rapidly evolving, data-driveneconomy! This role offers the opportunity to combine industryexpertise with teaching, allowing you to make a meaningful impacton students while staying connected to current business practicesand emerging technologies. As a key link between academia andindustry, you will help shape curriculum relevance, supportexperiential learning opportunities, and guide students as theydevelop the analytical, technical, and professional skills soughtby today's employers. If you are passionate about applyingreal-world experience in the classroom, mentoring futureprofessionals, and contributing to a collaborative academicenvironment focused on student achievement and workforce readiness,this position offers a rewarding and influential careeropportunity.

Summary of Responsibilities

• Designs, prepares, and delivers undergraduate and graduatecourses in Data Analytics using engaging, applied instructionalmethods across face-to-face, hybrid, livestream, andonlinemodalities. Integrates data visualization, statistical analysis,AI-enabled analytics tools, and modern business intelligenceplatforms into instruction. Evaluates student learning usingappropriate assessments and provides timely, constructive feedbackwhile fostering an inclusive, student centered learningenvironment.
• Serves as a liaison between the WSB and industry partners toensure curriculum reflects current workforce expectations. Developsemployer-sponsored projects, guest lectures, case competitions,internships, and experiential learning opportunities. Maintainsactive engagement in the analytics profession through consulting,professional organizations, certifications, conferences, or othercontinuing professional development activities. Promotes industrypartnerships that enhance student success and programvisibility.
• Develops measurable learning outcomes, instructional materials,cases, labs, and experiential learning projects that reflectcurrent industry practices. Continuously improves curriculum toalign with evolving technologies and employer needs. Maintainsregular office hours and advises and mentors students in academicprogress, professional development, internships, industrycertifications, and career readiness, supporting student successfrom the classroom to the workforce.
• Participates in departmental, school, and university committeesand initiatives. Contributes to curriculum assessment, continuousimprovement, accreditation activities, program development,recruitment, and student engagement efforts. Collaborates withfaculty to assess learning outcomes and improve instructionaleffectiveness. Performs other related duties as assigned. Designsand administers assessments aligned to course outcomes using clearcriteria/rubrics; provides timely feedback. Holds regular officehours. Advises and mentors students on career paths, skilldevelopment, professional preparation, and job-searchstrategies.

Qualifications / Licenses / Certifications

• Master's degree from an accredited institution in DataAnalytics, Business Analytics, Information Systems, ComputerScience, Statistics, Operations Research, or a closely relatedfield; or a master's degree in a related business disciplinecombined with substantial professional experience in dataanalytics.
• Minimum of 10 years of progressively responsible professionalexperience in data analytics, business intelligence, data science,analytics consulting, decision support, or a closely relatedfield.
• Demonstrated expertise in contemporary analytics tools andtechnologies commonly used in industry.
• Evidence of maintaining professional currency through industrypractice, consulting, professional certifications, continuingeducation, or leadership in the analytics profession.
• Demonstrated expertise in data analytics with experienceapplying analytical methods to support business decision-making,organizational effectiveness, and emerging technologies.Familiarity with business strategy, artificial intelligence,operations, or supply chain contexts is desirable, along with acommitment to industry engagement and student success.

Preferred Qualifications

• Experience teaching in higher education or deliveringprofessional training.
• Professional certifications such as Microsoft Power BI DataAnalyst Associate, Tableau Certified Professional, AWS DataAnalytics, Google Professional Data Analytics, Azure Data Engineer,Databricks, SAS, Snowflake, or similar industry-recognizedcredentials.
• Experience developing employer-sponsored projects, internships,or experiential learning opportunities.
• Strong connections with Utah or regional employers inanalytics, technology, finance, healthcare, manufacturing, orrelated industries.
• Demonstrated leadership in applied analytics projects,consulting, or professional organizations.
• Evidence of thought leadership through conferencepresentations, industry publications, white papers, or invitedprofessional presentations.
• Knowledge of Canvas a plus, but not required.

Knowledge / Skills / Abilities

Knowledge

• Subject-matter knowledge of data analytics and current industrypractices, tools, regulatory frameworks, and emergingtrends.
• Effective instructional strategies and current trends in highereducation.
• Student engagement, classroom management, and learningevaluation.
• Curriculum development, measurable outcomes, and assessmentalignment.

Skills

• Proficiency with analytics and visualization tools such asPython, R, SQL, Tableau, Power BI, Excel, and relatedtechnologies.
• Ability to teach and integrate AI-enabled analytics toolsresponsibly into coursework.
• Strong classroom instruction, communication, presentation, andfacilitation skills.
• Experience designing applied projects, case studies, andauthentic assessments.
• Strong interpersonal skills with the ability to buildrelationships with students, faculty, alumni, and industrypartners.
• Effective mentoring and career coaching for students pursuinganalytics-related careers.

Abilities

• Teach effectively in face-to-face, hybrid, livestream, andonline environments.
• Translate complex analytical concepts into practical businessapplications.
• Evaluate student learning using fair, consistent, andoutcomes-based assessment methods.
• Collaborate effectively with faculty, staff, and externalstakeholders.
• Maintain professional currency in a rapidly evolving analyticsdiscipline.
• Foster an inclusive, engaging, and student-centered learningenvironment

EEO Statement

UVU employment decisions are made on the basis of an applicant'squalifications and ability to perform the job without regard torace, color, religion, national origin, sex, sexual orientation,gender identity, gender expression, age (40 and over), disability,veteran status, pregnancy, childbirth, or pregnancy-relatedconditions, genetic information, or other bases protected byapplicable federal, state, or local law.