Part-time Faculty - Power BI Instructor (Data Analytics)
Job Description
Montgomery College, Workforce Development Continuing Education (WDCE), is currently accepting applications for a part-time faculty position to teach Power BI as part of our Data Analytics program. We are seeking enthusiastic and dedicated instructors who demonstrate a high degree of professionalism, a strong commitment to our students, and the ability to motivate and educate engagingly. Courses are designed to prepare students for industry certification and employment in technical roles, with a strong emphasis on hands-on learning and real-world application. Instructions may be delivered in-person and/or remotely during weekday evenings or weekends.
Duties and Responsibilities:
- Deliver hands-on, skills-based instruction using Power BI aligned with course objectives.
- Teach adult learners preparing for industry certification and/or technical careers.
- Teach courses in-person and/or remotely on weekday evenings or weekends.
- Collaborate with staff and faculty on curriculum development and updates.
- Maintain accurate attendance records and submit administrative tasks promptly.
- Provide students with effective support, communication, and timely feedback.
Required Qualifications:
- Bachelors degree in Data Analytics, Data Science, Business Analytics, Information Systems, or a related field.
- Must be fluent in using Power BI with current or recent professional experience.
- Working knowledge or a combination of training and teaching experience in Data Analytics, Business Analytics, or Data Science.
- Strong communication skills and a passion for teaching adult learners.
- Able to teach in person.
- Successful candidates will have a demonstrated commitment to promoting belonging, inclusion, and multicultural competence in an educational and work environment and must be willing to contribute to the Colleges strategic plan of inclusion.
- Faculty members are expected to have access to a personal computer with virus protection that can connect to the internet outside of the work location (i.e., office, classroom, college campus)*. Montgomery College (MC) provides an MC e-mail account and access to the learning platform, password-protected faculty sections of the website, college listservs, and other faculty communications tools. *If you do not have access to a personal computer, please notify the department chair at the time of interview. Subject to available funds, the college may be able to provide temporary access to resources.
- Must be eligible to work in the United States without a sponsor.
Preferred Qualifications
- Masters degree in a related field.
- Industry-recognized certifications, such as Microsoft Certified: Power BI Data Analyst Associate, Google Data Analytics, or CompTIA Data+.
- Experience teaching adult or non-traditional learners.
- Experience delivering instruction in hybrid, in-person, and online modalities.
- Familiarity with Learning Management Systems (e.g., Blackboard).
For degrees earned outside of the U.S., a copy of your education equivalency, conducted by a nationally recognized evaluation service, must be included in your application.
Employees must live in Maryland or a state where the College has payroll reciprocity (DC, VA, PA, WV, DE, MA).
As a condition of employment, the following are required at the time of hire:
- Successful completion of a background check and degree verification (if applicable).
*If a reasonable accommodation is needed to participate in the job application or interview process, please contact Human Resources and Strategic Talent Management at 240-567-5353 or HRSTM@montgomerycollege.edu. We require at least two weeks advance notice to enable us to provide the requested accommodation.*
*Montgomery College is an equal opportunity employer committed to promoting and fostering diversity among its student body, faculty, and staff.*
*Montgomery College is a tobacco-free and smoke-free workplace.*
Unlock this job opportunity
View more options below
View full job details
See the complete job description, requirements, and application process









