Part-Time Instructor - Power BI and Tableau (Data Analytics)
F
Fullstack AcademyOnline Learning
United States, CSTPart-TimeMiddle
Salary55 - 60 USD per hour
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Job Details
- Experience
- 10+ years
- Required Skills
- PythonSQLMicrosoft Power BITableauMicrosoft Excel
Requirements
- 10+ years of experience in the field of GenAI/PowerBI
- Hands-on experience with Microsoft Power BI, including Power Query, DAX, Power BI Desktop, and Power BI Service
- A passion for teaching and an ability to explain complex technical concepts
- Excellent written and verbal skills
- 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
Responsibilities
- 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
- Provide individualized student support during live sessions and scheduled office hours
- Mentor students on portfolio development, including end-to-end analytics projects
- Evaluate student progress based on course deliverables and established grading rubrics
- Assess dashboards, reports, and analytical problem-solving skills
- Collaborate with instructional staff and program teams to improve the student learning experience
- Stay current with industry trends in data analytics and visualization tools
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