Data Analytics Practitioner & Instructor

Peopleworth; United States; Remote; USD 55,000 - 83,000; Part time

Job summary

peopleworth is seeking an experienced Data Analytics Instructor & Facilitator to teach and mentor learners in data analytics concepts, bridging theory with practical workplace applications.

The role is remote, fixed-term, part-time (approximately 4–6 hours per week) with potential grading periods requiring additional time. You will lead live online sessions, provide feedback, and help learners build confidence and capability in data analytics.

Qualifications

• 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.

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.

Skills

Data analytics

Teaching

Communication

Feedback

Time management

Inclusion

Facilitation

Adaptability

Job description

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.

• 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.

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.