Hiring.Camp

Online Adjunct Faculty – Quantitative Studies-Predictive Business Analytics

Snhu

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Yesterday

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Location
Remote (United States), United States of America
Workplace
Remote
Type
Part-time
Department
Education
Experience
3+ years
Education
PhD
Source
Workday

Description

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide.

Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.

Make an impact — from near or far

We currently have remote adjunct opportunities available in all US States, with the exception of California.

The opportunity

Online Adjunct Faculty – Quatitative Studies


Southern New Hampshire University is looking for online adjunct faculty within our Quatitative Studies program for Global Campus. You will engage students in an asynchronous and inclusive learning environment by providing guidance and resources in a pre-developed online course. You will support students by providing instruction, feedback, and experiential and application-based learning that helps our students achieve their learning and career goals. You will report to the faculty dean team. This is a remote position.


Currently seeking instructors for the following courses:


QSO-570 Predictive Business Analytics


What you'll do:

  • Prioritize Student Engagement – Work with students by responding within set timeframes and reaching out to students needing additional support. Recognize student needs holistically and connect them with resources. Encourage participation, collaboration, and faculty-student relationships to enhance learning and build skills.
  • Share Expertise and Resources – Stay current in your field of expertise, share your experience, and recommend relevant supplementary materials to enhance student understanding of course content. Find accessible ways to explain complex topics.
  • Offer Feedback & Assessment – Evaluate student work and provide individualized, constructive feedback within set timeframes to promote growth and mastery of course outcomes.
  • Facilitate Discussions – Encourage student interaction through active participation in online discussions while promoting an inclusive, engaging, and respectful environment that promotes open dialogue and diverse perspectives.

What we're looking for:

  • Doctorate in Business Statistics; Business Analytics, Data Analytics, Business Intelligence, Analytics, Statistics and Data Science  (includes PhD/DBA in Business Administration with a focus in one of these areas).
  • 3 years professional experience in Quantitative Analysis for Business
  • Technical skills: Excel, Tableau, SQL, SAS, SPSS, Descriptive and Predictive Analytics and storytelling with data.

#LI-Remote


We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for.


If you have a disability and require a reasonable accommodation to fully engage in any part of the application or hiring process, please complete the Accommodation Request form or contact us at 603-626-9447. A member from the Employee Accommodation Support Center will be in contact with you within two business days to discuss your request.


Compensation


The standard compensation for courses is $2,200 per 8-week undergraduate course and $2,500 per 10-week graduate course. Actual pay is determined at the time of course assignment based on discipline.

Exceptional benefits (because you’re exceptional)

You’re the whole package. Your benefits should be, too. As an employee at SNHU, you'll get:

  • Employer-funded retirement

  • Free tuition program

  • Professional development opportunities

Skills

SQLData ScienceExcelTableau

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