Job Description
Location: Remote (India)
The Facilitator – Data Analytics plays a critical role in delivering high-quality academic support and learning experiences to students enrolled in the Data Analytics program. The Facilitator is responsible for conducting live instructional sessions, supporting students through on-demand tutoring and video explanations, performing quality assurance reviews, and contributing to learner engagement initiatives.
This role requires strong analytical expertise, structured problem-solving ability, and the capability to explain complex data concepts clearly to beginner and intermediate learners. The Facilitator will collaborate closely with mentors and academic teams to improve instructional delivery quality, support newly onboarded experts (MNEs), and contribute to curriculum enhancement aligned with evolving industry expectations.
Candidates with strong academic backgrounds and research orientation—particularly PhD holders or candidates currently pursuing a PhD in Data Science, Statistics, Mathematics, Computer Science, or related domains—will be given preference.
Minimum 3+ years of relevant industry and/or teaching experience in Data Analytics or related domains
Strong hands-on experience with modern analytics workflows and business data interpretation
Preference will be given to candidates holding a PhD or pursuing a PhD in Data Science, Statistics, Mathematics, Computer Science, or related disciplines
Bachelor’s or Master’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, or related domains preferred
Prior experience in EdTech or online instruction is an added advantage
Strong communication skills with the ability to teach US-based learners
Experience conducting sessions using Zoom or similar virtual learning platforms
Strong organizational and time-management skills
Ability to explain complex analytical topics clearly without unnecessary jargon
Strong written and verbal English proficiency
Willingness to work rotational shifts and week-offs based on business requirements
Ability to mentor junior experts and contribute to academic quality improvement initiatives
Perform all core academic support activities including:
Maintain a minimum QA score of 80% or above across all assigned activities
Deliver high-quality responses aligned with academic standards during live support interactions
Review mentor session content based on updated internal guidelines
Provide structured feedback on externally sourced academic content across all difficulty levels
Support students through on-demand video explanations
Conduct interactive Q&A sessions to enhance conceptual clarity
Participate in community engagement initiatives to support learner success
Identify learner knowledge gaps and escalate insights to Leads
Train and mentor MNEs during their first 90 days of onboarding
Provide continuous process support to MNEs in their day-to-day academic activities
Collaborate with mentors and academic teams to strengthen delivery quality
Suggest improvements to:
activity guidelines
internal processes
learning workflows
Contribute recommendations for curriculum updates and new course additions aligned with market demand
Monitor incoming academic workload and recommend shift redistribution when required
Prepare contribution reports on:
Curate emerging analytics tools, datasets, and workflows relevant to Data Analytics programs
Evaluate video support interactions, live lesson delivery quality, and on-demand tutoring responses as per defined QA standards
Present structured insights and recommendations supporting process improvement initiatives and academic delivery effectiveness
Assist in strengthening instructional delivery frameworks, learner engagement strategies, and overall academic support quality
Support curriculum alignment with evolving data analytics industry expectations and hiring trends
Assist in identifying opportunities to improve learner experience across analytics learning pathways
Candidates should demonstrate strong working knowledge across the following analytics domains:
Data retrieval and querying techniques
Data cleaning and preprocessing workflows
Exploratory data analysis (EDA)
Statistical reasoning and interpretation
Industry-level proficiency in:
SQL
Advanced Excel
Tableau
Python
PostgreSQL
Working knowledge of:
Statistical analysis fundamentals
Experimental design
Hypothesis testing
A/B testing methodologies
Data interpretation for business decision-making
Strong ability to:
Communicate business insights from datasets
Create structured dashboards and reports
Build effective visual storytelling using analytics tools
Translate analytical outputs into actionable recommendations
Hands-on experience with:
Data extraction workflows
Data cleaning pipelines
Dataset transformation techniques
Structured reporting approaches
B.Tech / BE / BSc / MSc / M.Tech in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, or related domains
Certifications in Data Analytics / Data Science / Business Analytics preferred
Minimum 15 years of full-time education
Ideal candidates should demonstrate:
Strong learner empathy
Structured analytical explanation ability
Clear business insight communication skills
Dashboard review and feedback capability
Communication clarity for live instruction
Collaboration with mentors and SMEs
Continuous learning mindset aligned with evolving analytics tools and practices
Strong student advocacy and coaching orientation in fast-paced learning environments
Why do we exist?
Students are working harder than ever before to stabilize their future. Our recent research study called State of the Student shows that nearly 3 out of 4 students are working to support themselves through college and 1 in 3 students feel pressure to spend more than they can afford. We founded our business on provided affordable textbook rental options to address these issues. Since then, we’ve expanded our offerings to supplement many facets of higher educational learning through Chegg Study, Chegg Math, Chegg Writing, Chegg Internships, Chegg Skills, and more to support students beyond their college experience. These offerings lower financial concerns for students by modernizing their learning experience. We exist so students everywhere have a smarter, faster, more affordable way to student.
