Facilitator- Data Analytics and Data Scientist
- Chegg
- 5 - 10 years
- Delhi, NCR
- 20 days ago
- Email to a friend
- Report this job
Job Description
Job Description
Role: Facilitator Data Analytics & Data Scientist (Tutor)
Location: Remote (India)
Position Overview
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 orientationparticularly PhD holders or candidates currently pursuing a PhD in Data Science, Statistics, Mathematics, Computer Science, or related domainswill be given preference.
Eligibility Criteria
- Minimum 3+ years of relevant industry and/or teaching experience in Data Analytics or related domains
- Teaching experience is must
- 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
- Bachelors or Masters 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
Primary Responsibilities
- Perform all core academic support activities including:
- Live Lessons
- Weekly Video Tutoring
- On-Demand Tutoring Support
- QA Review
- 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:
- SME academic effectiveness
- live support engagement quality
- Curate emerging analytics tools, datasets, and workflows relevant to Data Analytics programs
Secondary Responsibilities
- 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
Subject Expertise Requirements Data Analytics
Candidates should demonstrate strong working knowledge across the following analytics domains:
Data Analysis Foundations
- Data retrieval and querying techniques
- Data cleaning and preprocessing workflows
- Exploratory data analysis (EDA)
- Statistical reasoning and interpretation
Core Tools & Technologies
Industry-level proficiency in:
- SQL
- Advanced Excel
- Tableau
- Python
- PostgreSQL
Statistical & Experimental Methods
Working knowledge of:
- Statistical analysis fundamentals
- Experimental design
- Hypothesis testing
- A/B testing methodologies
- Data interpretation for business decision-making
Data Visualization & Communication
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
Data Handling & Workflow Skills
Hands-on experience with:
- Data extraction workflows
- Data cleaning pipelines
- Dataset transformation techniques
- Structured reporting approaches
Education Requirements
- 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
Key Competencies
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
Job Classification
Industry: Education / TrainingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: CheggLocation(s): Delhi, NCR
Keyskills: Artificial Intelligence Machine Learning Python SQL Predictive Modeling Data Analytics
Chegg
As the leading student- first connected learning platform, Chegg's Student Hub makes higher education more affordable and more accessible, all while improving student outcomes. Chegg is a publicly- held company based in Santa Clara, CA with offices in San Francisco, New York, Portland, India, ...
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in