AI Data & Analytics Instructor

Sizanid Staffing

About The Position

Our client, a growing educational and technology organization, is seeking an experienced AI Data & Analytics Instructor to teach and mentor students on data analytics, AI-driven insights, business intelligence, and practical strategies for becoming successful AI Data & Analytics professionals. This role is ideal for an experienced data analytics or AI professional who is passionate about teaching and sharing real-world industry knowledge with aspiring data analysts, business intelligence professionals, and AI-driven decision-making specialists.

Requirements

Bachelor’s degree in Data Science, Computer Science, Statistics, Information Technology, Business Analytics, Mathematics, or related field required.
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.
Must be legally authorized to work in the USA or Canada.

Nice To Haves

Experience delivering technical training, workshops, or mentoring programs.
Familiarity with machine learning, AI automation, or cloud-based analytics platforms.
Experience building dashboards, reports, or AI-powered analytics solutions in commercial environments.
Certifications in Data Analytics, Business Intelligence, AI, or Data Science are an advantage.

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.