AI Data & Analytics Instructor
New
S
Sizanid StaffingEducation & Technology
United StatesPart-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4–5 years
- Required Skills
- PythonSQLBusiness IntelligenceMachine LearningMicrosoft Power BITableauData scienceMicrosoft ExcelData analytics
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Information Technology, Business Analytics, Mathematics, or related field.
- Minimum of 4–5 years of practical experience in data analytics, business intelligence, AI analytics, data science, or related fields.
- Strong understanding of data analysis, visualization, reporting, and AI-driven analytics concepts.
- Experience working with analytics tools such as Excel, Power BI, Tableau, SQL, Python, or related platforms.
- Familiarity with AI-powered analytics tools, predictive analytics, and data visualization best practices.
- Excellent communication, presentation, and mentoring skills.
- Ability to explain technical and analytical concepts clearly and engage students effectively.
- Strong analytical, problem-solving, and data interpretation abilities.
- Proficiency in Microsoft Office Suite, Google Workspace, and virtual collaboration platforms.
Responsibilities
- Deliver engaging training sessions on data analytics, AI-powered analytics, and business intelligence concepts.
- Teach students how to collect, clean, analyze, visualize, and interpret data for business and operational decision-making.
- Guide students on data-driven problem-solving, reporting, dashboards, and AI-assisted analytics techniques.
- Share practical experiences, case studies, and real-world analytics project insights with students.
- Teach students how to use analytics tools, databases, spreadsheets, and data visualization platforms effectively.
- Train students on statistical analysis, predictive analytics, AI-powered insights, and reporting best practices.
- Develop instructional materials, practical assignments, presentations, and hands-on analytics exercises.
- Facilitate workshops, live demonstrations, and project-based learning sessions.
- Mentor students on portfolio development, career pathways, and practical applications of AI in analytics.
- Stay updated on advancements in AI analytics, business intelligence tools, data technologies, and industry trends.
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