Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.
The Part-Time Instructor for Power BI and Tableau (Data Analytics) plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs.
Instructors facilitate curriculum content, support student learning, and connect technical concepts to real-world industry applications. This role involves teaching live online sessions, mentoring students, providing feedback, and contributing to a collaborative instructional environment.
Classes are delivered 100% online in a synchronous format.
Instruction & Student Engagement
Deliver assigned lessons aligned with curriculum learning objectives and session plans.
Facilitate engaging live online instruction using instructional best practices for adult learners.
Provide subject matter expertise in Power BI and Tableau, including dashboard development and data visualization.
Teach data analytics concepts such as data cleaning, transformation, and modeling.
Incorporate tools and techniques such as SQL, Excel, and basic Python (optional) for data analysis workflows.
Guide students in building interactive dashboards, reports, and data storytelling presentations.
Connect course content to real-world industry applications and business use cases.
Encourage collaboration, critical thinking, and problem-solving within the classroom environment.
Student Support & Mentorship
Provide individualized student support during live sessions and scheduled office hours.
Mentor students on portfolio development, including end-to-end analytics projects.
Maintain regular communication with students regarding progress, expectations, and milestones.
Respond to student and staff communications in a timely and professional manner.
Provide clear, constructive, and timely feedback on assignments, dashboards, and capstone projects.
Performance Monitoring
Evaluate student progress based on course deliverables and established grading rubrics.
Assess dashboards, reports, and analytical problem-solving skills.
Maintain accurate documentation of student performance and engagement.
Identify and escalate academic or performance concerns to the Lead Instructor or appropriate staff.
Support performance improvement plans when necessary.
Collaboration & Professional Conduct
Adhere to institutional policies and instructional team standards.
Foster an inclusive, respectful, and professional learning environment.
Serve as a role model and mentor for students.
Collaborate with instructional staff and program teams to improve the student learning experience.
Stay current with industry trends in data analytics and visualization tools.
Represent the organization professionally when interacting with students, staff, and external stakeholders.
You are a great candidate for this role is you have:
Knowledge, Skills, and Abilities
Strong expertise in Power BI and Tableau, including data modeling, DAX, and visualization best practices.
Proficiency in SQL and Excel for data manipulation and analysis.
Understanding of data warehousing concepts and ETL processes.
Ability to clearly explain complex technical topics to diverse learners.
Experience with real-world business analytics use cases and storytelling with data.
Passion for education and mentoring students entering the technology industry.
Strong communication and interpersonal skills.
Ability to work effectively in a remote teaching environment.
Demonstrated professionalism, integrity, and ethical conduct.
The total weekly part-time commitment is expected to be 8-12 hours.
Weekday - 06:30 PM CST - 09:30 PM CST
Weekend - 09:00 AM CST - 12:00 PM CST
Flexibility for evening availability is required.
The anticipated pay range for this position is $55 – $60 per hour, depending on qualifications and experience.
This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws.
We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Applicants must be legally authorized to work in the United States at the time of application and throughout employment.
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