
1001 - 5000 employees
🛍️ eCommerce
📚 Education
☁️ SaaS
eCommerce • Education • SaaS
Chegg Inc. is a software development company that provides individualized learning support to students pursuing their educational journeys. Available on demand 24/7, the Chegg platform is powered by over a decade of learning insights and offers AI-powered academic support. It connects students with a vast network of subject matter experts to ensure quality learning and helps millions of students build essential academic, life, and job skills for success.
🕒 August 5
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1001 - 5000 employees
🛍️ eCommerce
📚 Education
☁️ SaaS
eCommerce • Education • SaaS
Chegg Inc. is a software development company that provides individualized learning support to students pursuing their educational journeys. Available on demand 24/7, the Chegg platform is powered by over a decade of learning insights and offers AI-powered academic support. It connects students with a vast network of subject matter experts to ensure quality learning and helps millions of students build essential academic, life, and job skills for success.
• Conduct live instructional sessions for students enrolled in the Data Analytics program • Provide weekly video tutoring and on-demand tutoring support • Perform quality assurance reviews and maintain a minimum QA score of 80% or above • Deliver high-quality responses aligned with academic standards during live support interactions • Review mentor session content against updated internal guidelines • Provide structured feedback on externally sourced academic content across difficulty levels • Support students through on-demand video explanations and interactive Q&A sessions • Participate in community engagement initiatives supporting learner success • Identify learner knowledge gaps and escalate insights to Leads • Train and mentor MNEs during their first 90 days of onboarding • Provide ongoing process support to MNEs in their daily academic activities • Collaborate with mentors and academic teams to improve delivery quality • Suggest improvements to activity guidelines, internal processes, and learning workflows • Recommend curriculum updates and new course additions aligned with market demand • Monitor academic workload and recommend shift redistribution when required • Prepare contribution reports on SME academic effectiveness, live support engagement, and quality • Curate emerging analytics tools, datasets, and workflows relevant to Data Analytics programs • Evaluate video support interactions, live lesson delivery quality, and tutoring responses according to QA standards • Present structured insights and recommendations for process improvement and academic delivery effectiveness • Strengthen instructional delivery frameworks, learner engagement strategies, and academic support quality • Support curriculum alignment with evolving data analytics industry expectations and hiring trends • Identify opportunities to improve learner experience across analytics learning pathways
• 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 • Bachelor’s or Master’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, or related domains preferred • B.Tech / BE / BSc / MSc / M.Tech in a related domain • Minimum 15 years of full-time education • Strong working knowledge of data analysis foundations, data retrieval and querying, data cleaning, preprocessing, and exploratory data analysis • Industry-level proficiency in SQL, Advanced Excel, Tableau, Python, and PostgreSQL • Working knowledge of statistical analysis fundamentals, experimental design, hypothesis testing, and A/B testing methodologies • Ability to interpret data for business decision-making • Ability to communicate business insights from datasets and create structured dashboards and reports • Ability to build effective visual storytelling using analytics tools • Ability to translate analytical outputs into actionable recommendations • Hands-on experience with data extraction workflows, data cleaning pipelines, dataset transformation techniques, and structured reporting • 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 • Certifications in Data Analytics / Data Science / Business Analytics preferred • PhD holders or candidates currently pursuing a PhD will be given preference
• Affordable textbook rental options and digital learning products are described as part of Chegg’s offerings to students • Chegg culture and benefits information is provided via the corporate benefits page • Equal opportunity employer
Apply Now🕒 August 3
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