Location: New Delhi, India | Job Type: Full-Time | Work Mode: On-site/Hybrid
About the Company
Chegg is a leading student-first connected learning platform that provides academic support, study materials, and digital learning services globally. The company focuses on data-driven decision-making to enhance student outcomes and product performance.
Job Description
The Data Analyst II will support the analytics team by delivering key performance metrics, insights, and data-driven solutions. You will work on large datasets across multiple products and collaborate with teams to improve business decisions and product performance. :contentReference[oaicite:0]{index=0}
Key Responsibilities
• Analyze complex datasets and identify meaningful insights
• Write optimized SQL queries and manage databases
• Build dashboards and reports using visualization tools
• Perform data mining, cleansing, and transformation
• Develop data models using Excel, Python, or R
• Collaborate with cross-functional teams for decision-making
• Conduct statistical and predictive analysis
Eligibility Criteria
• Bachelor’s/Master’s degree in Science, Math, Engineering, or related field
• Experience: 2–3 years in data analytics role
• Strong SQL knowledge (joins, nested queries, optimization)
• Knowledge of Python or R for data analysis :contentReference[oaicite:1]{index=1}
Skills Required
• SQL & Database Management
• Data Analysis & Visualization (Tableau, Power BI, etc.)
• Excel (Advanced)
• Statistical Analysis
• Problem-Solving & Analytical Thinking
• Communication & Presentation Skills
Job details made easy by TrendToday360
This Data Analyst II role is ideal for professionals with experience in data analytics, SQL, and business intelligence. It offers exposure to large-scale data systems and real-world product analytics at a global company like Chegg.
Expected Salary: ₹8 LPA – ₹15 LPA (approx., based on similar roles)
Profile Keywords: Data Analyst, SQL, Python, Data Visualization, Business Intelligence, Analytics Jobs, Chegg Jobs
Tips:
* Strengthen your SQL and data querying skills
* Practice data visualization tools like Tableau/Power BI
* Build projects involving real datasets and dashboards
* Prepare for case studies and analytics interviews
* Highlight your problem-solving and analytical thinking
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