Data Analytics Practitioner & Instructor
在 peopleworth,我们支持人们和绩效繁荣的工作。作为我们的雇主集团的一部分，我们与各种前性合作伙伴合作，并很高兴分享这个在我们不断增长的集团内存在的机会。角色概述 我们正在寻找一个经验丰富的数据分析教师和便利人，谁结合实践数据分析经验与强大的能力教授，解释和支持他人发展。这种远程，固定的时间，兼职机会特别适合那些专业地处理数据的人，并且还提供了教学，技术培训，研讨会，辅导或结构化的学习者支持。你将帮助学习者建立信心和能力，通过将数据分析概念与实践例子联系起来，提供建设性反，促进在线会议，并支持个人应对挑战。该角色预计平均每周需要约4到6个小时，并且可能需要在任务评级期间额外的时间。要求 · 在数据分析，商业智能，数据分析或其他相关领域工作的证明专业经验。· 在教学，培训，辅导，便利，指导或辅导数据分析，技术或其他技术科目方面具有证明经验。· 强有力的技术概念清晰解释和适应不同水平的事先知识的人类解释的能力。· 在现实工作场所或项目环境中应用数据分析概念的实际经验。· 提供结构化的学习会议，研讨会，课程，教学或技术培训的经验是最好。· 证明评估工作能力并提供建设性的反，帮助学习者了解需要改善什么以及如何提高它。· 强大的人际关系和沟通技能，包括在线环境中的信心促进群体。· 创造一个包容性学习环境，鼓励问题，参与和独立思考。·特别是在平衡现场教学，学生支持，社区参与和任务反时，优秀的组织和时间管理技能。· 灵活且解决问题的方法，能够根据学生需求调整教学和便利化方法。主要责任 · 促进互动实时课程，解释数据和信息。
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At peopleworth, we support work where people and performance thrive. As part of our Employer Group, we work with a variety of forward-thinking partners and are excited to share this opportunity that sits within our growing group.
Role Overview
We are looking for an experienced Data Analytics Instructor & Facilitator who combines practical data analytics experience with a strong ability to teach, explain, and support the development of others.
This remote, fixed-term, part-time opportunity is particularly suited to someone who has worked professionally with data and has also delivered teaching, technical training, workshops, tutoring, or structured learner support. You will help learners build confidence and capability by connecting data analytics concepts with practical examples, providing constructive feedback, facilitating live online sessions, and supporting individuals through 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.
Requirements
- 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 that helps learners understand both what needs improvement and how to improve it.
- Strong interpersonal and communication skills, including confidence facilitating groups in an online environment.
- 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 and problem-solving approach with the ability to adapt teaching and facilitation methods to learner needs.
Key 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 your own data analytics experience to demonstrate how concepts, tools, and approaches are applied in professional environments.
- Mark learner assignments and provide clear, constructive, and actionable feedback that supports both 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 where additional explanation, guidance, or encouragement is required.
- Identify areas where learners may be struggling with concepts 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 relevant 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.
Our Recruitment Process
The peopleworth Employer Group follows a fair, transparent, and multi-stage recruitment process designed to ensure mutual fit.
- Application Submission: Complete the online form and answer brief application questions.
- Initial Screening: Your application is reviewed for role alignment; successful candidates move to the longlist.
- Live Interviews: Shortlisted candidates join first-round interviews (and, where applicable, second or third rounds depending on the role).
- Final Shortlist & Verification: Reference and background checks are completed.
- Offer & Contracting: Successful candidates receive formal offers and contract documents.
- Pre-boarding & Onboarding: Once accepted, you’ll complete a pre-boarding process before officially joining your employing organisation within the Employer Group.
Throughout every stage, we value clear communication, respectful engagement, and timely feedback.
Originally posted on Himalayas