About The Position

peopleworth is recruiting for an opportunity within its Employer Group. The role is a remote, fixed-term, part-time opportunity for an experienced data analytics professional who can also teach, explain technical concepts, and support learner development. The instructor will help learners build confidence and capability by connecting analytics concepts to practical examples, giving constructive feedback, facilitating live online sessions, and providing support when learners encounter challenges. The role is expected to require approximately 4 to 6 hours per week on average, with additional time potentially required during assignment grading periods. The successful candidate will facilitate online classes and discussions, assess learner assignments, support learners individually and in an online community, and collaborate with delivery and learner-support colleagues.

Requirements

  • Demonstrated professional experience 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.
  • 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.
  • Ability to assess work and provide constructive feedback that explains what needs improvement and how to improve it.
  • Strong interpersonal and communication skills, including confidence facilitating groups online.
  • Ability to create an inclusive learning environment that encourages questions, participation, and independent thinking.
  • Excellent organisational and time-management skills, particularly when balancing live teaching, learner support, community engagement, and assignment feedback.
  • A flexible, problem-solving approach and ability to adapt teaching and facilitation methods to learner needs.

Nice To Haves

  • Experience delivering structured learning sessions, workshops, classes, tutorials, or technical training.

Responsibilities

  • Facilitate interactive live online classes that explain data analytics concepts clearly and connect learning to practical workplace applications.
  • Plan and deliver engaging learning discussions that accommodate learners with different levels of confidence, experience, and technical understanding.
  • Use practical examples from personal data analytics experience to demonstrate how concepts, tools, and approaches are applied in professional environments.
  • Mark learner assignments and provide clear, constructive, actionable feedback that supports technical development and independent problem-solving.
  • Facilitate online community discussions by responding to questions, sharing relevant resources, reinforcing key concepts, and encouraging learner participation.
  • Provide structured one-to-one learner support when additional explanation, guidance, or encouragement is needed.
  • Identify concepts learners may be struggling with and adapt explanations or examples to improve understanding.
  • Participate in selected industry discussions and share practical perspectives on working in data analytics.
  • Set clear expectations around learning activities, project timelines, workload, and available support.
  • Collaborate with delivery and learner-support colleagues to communicate learner progress, challenges, and areas where additional intervention may be helpful.

Benefits

  • 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.
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