Company
Education
FacilitatorDataanalytics&Datascience
Neural analysis suggests this role is
optimal for Mid candidates.
“Facilitator Data analytics & Data science. Skills: Data Analytics, Data Science, Teaching. Deliver live instructional sessions. Deliver video tutoring”
What You'll Achieve.
Improve learner outcomes
Industry & Context.
Root cause analysis
Rotational shifts, Scheduling requirements
What They're Looking For.
Must Have
3+ years of experience, Analytics workflows knowledge, SQL proficiency, Python proficiency, Excel proficiency, Tableau proficiency, PostgreSQL proficiency, Statistical methods understanding, A/B testing understanding, Experimental design understanding, Clear explanation ability, Written English proficiency, Verbal English proficiency, Online session delivery experience, Remote environment multitasking
Nice to Have
Teaching experience is a plus, EdTech experience is a plus, Master's degree preferred, PhD preferred, Ongoing PhD preferred
What You'll Do.
Deliver live instructional sessions
Deliver video tutoring
Deliver on-demand academic support
Review academic content
Ensure quality standards
Explain complex concepts
Conduct interactive Q&A sessions
Conduct mentorship activities
Conduct community engagement
Evaluate mentor-led sessions
Provide feedback on materials
Mentor newly onboarded experts
Support MNE performance
Support MNE integration
Identify learner knowledge gaps
Contribute to curriculum enhancement
Suggest curriculum updates
Monitor workload distribution
Recommend workload adjustments
Prepare reports on academic quality
Prepare reports on engagement effectiveness
Prepare reports on learner support performance
How You'll Work.
Team & Collaboration
Academic leads; Academic experts; Industry professionals
Communication Scope
English proficiency
Full Job Description
## Accountabilities Deliver live instructional sessions, video tutoring, and on-demand academic support across Data Analytics topics. Review and ensure quality standards of academic content, maintaining high QA scores across all assigned activities. Support learners by explaining complex analytical concepts in a structured, simple, and engaging manner. Conduct interactive Q&A sessions, mentorship activities, and community engagement initiatives to improve learner outcomes. Evaluate and provide feedback on mentor-led sessions and externally sourced academic materials. Mentor newly onboarded experts (MNEs), supporting their training, performance, and integration during the initial onboarding period. Identify learner knowledge gaps and escalate insights to academic leads for continuous improvement. Contribute to curriculum enhancement by suggesting updates aligned with industry trends and learner needs. Monitor workload distribution and recommend adjustments to ensure effective delivery of academic support. Prepare reports on academic quality, engagement effectiveness, and learner support performance. Requirements: 3+ years of experience in Data Analytics, Data Science, teaching, or related professional/academic roles. Strong hands-on knowledge of analytics workflows including data cleaning, analysis, visualization, and interpretation. Proficiency in tools such as SQL, Python, Excel, Tableau, and PostgreSQL. Strong understanding of statistical methods including hypothesis testing, A/B testing, and experimental design. Ability to translate complex data concepts into clear, structured explanations for beginner and intermediate learners. Excellent communication skills with strong written and verbal English proficiency. Experience delivering online sessions using tools such as Zoom or similar platforms. Strong organizational, time management, and multitasking abilities in a remote environment. Teaching or EdTech experience is a plus. Bachelor’s or Master’s degree in Data A
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