# AI Data & Analytics Instructor

**Company:** [Sizanid Staffing](http://jobs.workable.com/companies/sXgv4msuoFSAz6HrM89GRf.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Part-time
**Department:** Clients

[Apply for this job](http://jobs.workable.com/view/195ef019-8eca-46bc-8f63-027b1d0d30b8)

## 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.