AI Data & Analytics Instructor

Sizanid Staffing; United States; On-site; USD 28,000 - 55,000; Part time

Benefits offered by this job

Part-time pay depends on experience

Job summary

Sizanid Staffing seeks an experienced AI Data & Analytics Instructor to teach data analytics, AI-driven insights, BI, and practical strategies for aspiring professionals.

The role emphasizes delivering hands-on training, mentoring students, and sharing real-world industry knowledge to help learners succeed in AI-driven analytics careers.

Qualifications

• Bachelor's degree in a data-related field is required.
• 4-5 years of practical experience in data analytics, BI, or AI analytics.
• Strong ability to explain technical concepts clearly and mentor students.
• Proficiency with Excel, Power BI, Tableau, SQL, and Python.

Responsibilities

• Deliver engaging training on data analytics, AI-driven insights, and BI concepts.
• Teach data collection, cleaning, analysis, visualization, and interpretation for business decisions.
• Guide students on data-driven problem solving, dashboards, and AI analytics techniques.
• Share practical experiences, case studies, and real-world analytics projects.
• Develop instructional materials, assignments, and hands-on exercises.
• Mentor portfolio development and career pathways in AI analytics.

Skills

Teaching

Mentoring

Communication

Data analysis

Problem-solving

Education

Bachelor's degree in Data Science or related field

Tools

Excel

Power BI

Tableau

SQL

Python

Job description

About Our Client

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.

Key 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.

Requirements

Qualifications & Skills

• 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.

Preferred Qualifications

• 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.

Benefits

• Part time. Pay depends on experience.