
11 - 50 employees
Founded 2012
📚 Education
Education
Full Stack Academy is a renowned institution that offers a variety of tech bootcamps to equip students with skills in software engineering, cybersecurity, data analytics, and artificial intelligence. The academy provides full-time and part-time programs tailored to meet the needs of individuals seeking a career in tech. With a commitment to inclusion and personal growth, Full Stack Academy supports students with career success resources and has a strong network of partners interested in hiring its graduates, such as Google, Amazon, and Facebook. The academy is known for its intensive, hands-on learning environment and offers courses that are suitable for beginners and experienced learners alike.
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11 - 50 employees
Founded 2012
📚 Education
Education
Full Stack Academy is a renowned institution that offers a variety of tech bootcamps to equip students with skills in software engineering, cybersecurity, data analytics, and artificial intelligence. The academy provides full-time and part-time programs tailored to meet the needs of individuals seeking a career in tech. With a commitment to inclusion and personal growth, Full Stack Academy supports students with career success resources and has a strong network of partners interested in hiring its graduates, such as Google, Amazon, and Facebook. The academy is known for its intensive, hands-on learning environment and offers courses that are suitable for beginners and experienced learners alike.
• 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. • 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. • 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. • 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.
• 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 • A history of choosing a path of integrity • 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.
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