Remote Data Analytics Instructor (Part-Time Evenings)

California Institute of Applied Technology; Milton (MA); Remote; USD 55,000 - 62,000; Part time

Benefits offered by this job

Remote-work eligibility in specified U

Flexible scheduling

Job summary

California Institute of Applied Technology (CIAT) seeks an experienced Data Analytics Adjunct Instructor to deliver synchronous online courses. Classes run Monday and Tuesday evenings, with remote work available to eligible states.

You will plan engaging lessons, align to accreditation standards, and assess student progress in a flexible, part-time role. The ideal candidate has strong IT/data analytics expertise, teaching experience, and proficiency with Teams and learning platforms.

Qualifications

• Official transcripts of bachelor’s degree and active certification in taught subject.
• Master’s degree with at least 18 units in the subject for general education.
• At least three years’ experience in the respective field OR two years of teaching experience.
• Advanced subject matter expertise in Python, R, SQL; Tableau/Power BI.
• Synchronous online teaching experience preferred.
• Strong presentation and communication skills.

Responsibilities

• Teach synchronous online courses via Microsoft Teams.
• Plan and organize instruction to maximize student learning.
• Modify instructional methods to meet diverse student needs.
• Maintain attendance and grade records; ensure compliance with policies.
• Promote collaboration and adhere to CIAT policies.

Skills

Python

R

SQL

Tableau

Power BI

Microsoft Teams

Canvas

Education

Bachelor's degree

Master's degree

Tools

Microsoft Teams

Canvas

Word

Excel

PowerPoint

Job description

California Institute of Applied Technology (CIAT) seeks an experienced Data Analytics Adjunct Instructor to deliver synchronous online courses. Classes run Monday and Tuesday evenings, with remote work available to eligible states.

You will plan engaging lessons, align to accreditation standards, and assess student progress in a flexible, part-time role. The ideal candidate has strong IT/data analytics expertise, teaching experience, and proficiency with Teams and learning platforms.