This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Facilitator - Data Analytics & Data Science based in India.
In this role, you will play a central part in shaping high-quality learning experiences for students pursuing Data Analytics programs in a dynamic, remote learning environment. You will deliver live instructional sessions, provide on-demand academic support, and create clear video-based explanations that simplify complex analytical concepts. The position combines teaching, mentorship, and quality assurance responsibilities, ensuring learners receive accurate, engaging, and structured guidance. You will collaborate closely with academic teams and fellow experts to continuously improve curriculum delivery and instructional standards. A key aspect of the role involves identifying learner gaps, supporting engagement initiatives, and enhancing overall educational outcomes. This is a highly impactful opportunity for professionals passionate about data, teaching, and making analytics accessible to diverse learners globally.
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 Analytics, Statistics, Mathematics, Computer Science, Engineering, or related fields preferred.
- PhD or ongoing PhD in a relevant field is considered a strong advantage.
- Willingness to work rotational shifts and adapt to scheduling requirements.
Benefits
- Fully remote role with flexible work structure.
- Opportunity to contribute to impactful global education and student success initiatives.
- Exposure to modern analytics tools, datasets, and teaching methodologies.
- Collaborative environment with academic experts and industry professionals.
- Continuous learning and upskilling opportunities in Data Science and Analytics.
- Chance to mentor and shape the next generation of data professionals.
- Competitive compensation aligned with experience and expertise.
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
