Data Analytics Practitioner, Instructor

• Facilitate interactive live online classes explaining data analytics concepts and connecting learning to practical workplace applications
• Plan and deliver learning discussions for learners with different levels of confidence, experience, and technical understanding
• Use practical data analytics examples to demonstrate professional application of concepts, tools, and approaches
• Mark learner assignments and provide clear, constructive, actionable feedback
• Facilitate online community discussions, answer questions, share resources, reinforce concepts, and encourage participation
• Provide structured one-to-one learner support
• Identify learner difficulties and adapt explanations or examples
• Participate in selected industry discussions and share practical data analytics perspectives
• Set expectations around learning activities, project timelines, workload, and support
• Collaborate with delivery and learner-support colleagues regarding learner progress and challenges

• Demonstrated professional experience working in data analytics, business intelligence, data analysis, or a closely related field
• Demonstrated experience teaching, training, tutoring, facilitating, mentoring, or coaching others in data analytics, technology, or another technical subject
• Strong ability to explain technical concepts clearly and adapt explanations for people with different levels of prior knowledge
• Practical experience applying data analytics concepts in real workplace or project environments
• Experience delivering structured learning sessions, workshops, classes, tutorials, or technical training is strongly preferred
• Demonstrated ability to assess work and provide constructive feedback
• Strong interpersonal and communication skills, including confidence facilitating groups in an online environment
• Ability to create an inclusive learning environment
• Excellent organisational and time-management skills
• Flexible and problem-solving approach with the ability to adapt teaching and facilitation methods to learner needs

• Collaborative, people-centred performance culture
• Opportunities to grow in a fast-paced environment
• Opportunity to combine practical data analytics expertise with teaching and professional development
• Fair, transparent, and multi-stage recruitment process
• Clear communication, respectful engagement, and timely feedback throughout recruitment