Data Analysis/Science Facilitator

Key Responsibilities

• Instruction: Deliver live training sessions on Python, SQL, Power BI/Tableau, and statistical modelling.
• Mentorship: Provide technical support and code reviews for student projects and capstone assignments.
• Curriculum Support: Update learning modules to ensure alignment with current industry tools and AI trends.
• Assessment: Evaluate learner performance through practical tasks and mock technical interviews.

Requirements

• Technical Expertise: Proficiency in Python Pandas, Numpy, SQL, and Data Visualisation.
• Teaching Ability: Proven experience in tutoring, facilitating workshops, or technical blogging.
• Soft Skills: Excellent communication skills with the ability to break down R^2 or machine learning algorithms for beginners.
• Experience: 2+ years in a data-centric role or technical education.

Success Metric

• The primary goal is to ensure learners transition from theoretical knowledge to building functional, industry-ready data portfolios.