🏢 docs.google.com
SDE Trainee
💼 Fulltime
🎓 2026 Batch
📍 Multiple locations across India / Remote
🛠 Skills Required
SQL
Python
Data Analysis
Statistics
Data Visualization
Excel
Problem Solving
Communication
Business Acumen
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Don't miss this opportunity!
Apply before 18 Nov 2026 — only 32 days left
Creator Pick · Promoted by Creator
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📚 Free Study Materials (4)
Placement Papers for Google
Curated set of previous Google placement papers to practice quantitative and logical reasoning.
Open Resource ↗
Google Recruitment Process Insights
Detailed walkthrough of Google's interview stages and preparation tips.
Open Resource ↗
Google Interview Preparation Guide
Comprehensive guide covering coding, analytical, and behavioral aspects of Google interviews.
Open Resource ↗
Algorithm Practice Problems
Extensive collection of algorithmic problems to sharpen coding skills required for Google assessments.
Open Resource ↗
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🎯
Don't miss this opportunity!
Apply before 18 Nov 2026 — only 32 days left
Creator Pick · Promoted by Creator
🏆 Selection Process
Round 1: Online Assessment (SQL & Data Interpretation) → Round 2: Technical Interview (Analytics case study, coding) → Round 3: HR Interview (Fit, motivation, culture)
🏢 Work Culture
Google's work culture emphasizes openness, innovation, and continuous learning. Employees enjoy flexible work arrangements, generous learning budgets, and a supportive environment that encourages experimentation. The company places a strong emphasis on work‑life balance, with numerous wellness programs and opportunities for career growth across its global network.
🎤 Interview Experience
Google's interview process typically consists of an online assessment followed by two to three technical rounds focusing on data analysis, SQL, and coding, and finally an HR round assessing cultural fit and motivation. The difficulty is moderate to high, with emphasis on problem‑solving speed and clear communication. Candidates are advised to practice real‑world case studies and brush up on core statistical concepts.
✅ Eligibility Criteria
Graduates of 2025 (B.Tech/B.E., B.Sc., B.Com, MBA, or equivalent) with a minimum CGPA/percentage of 7.5/70% in the final year. No active backlogs at the time of joining. Strong academic record in quantitative subjects is preferred. Open to all streams with a demonstrated interest in data analytics or business intelligence.
📋 About the Role
Google, a global technology leader, has been at the forefront of innovation for over two decades. Headquartered in Mountain View, California, the company operates a massive ecosystem of products ranging from search and advertising to cloud services, hardware, and productivity tools like Google Docs, Sheets, and Slides. In India, Google has a strong presence with offices in Hyderabad, Bangalore, and Gurgaon, employing thousands of engineers, analysts, and business professionals who work on cutting‑edge solutions for both local and global markets. The organization is renowned for its data‑driven culture, relentless focus on user experience, and a commitment to fostering an inclusive workplace where ideas flourish.
The Analyst role at Google India is designed for fresh graduates who are passionate about turning raw data into actionable insights. As an Analyst, you will collaborate with cross‑functional teams—product managers, engineers, marketers, and sales—to understand business problems, design analytical frameworks, and deliver recommendations that influence product strategy and operational efficiency. This position offers a unique blend of quantitative rigor and business acumen, providing a solid foundation for a long‑term career in data analytics, product management, or consulting within Google’s expansive ecosystem.
Key Responsibilities:
1. Collect, clean, and validate large datasets from internal and external sources.
2. Perform exploratory data analysis to uncover trends, patterns, and anomalies.
3. Build and maintain dashboards and visualizations using tools such as Looker, Data Studio, or Tableau.
4. Develop statistical models and predictive algorithms to support product decisions.
5. Conduct ad‑hoc analyses to answer critical business questions for stakeholders.
6. Prepare clear, concise reports and presentations that translate complex findings into actionable recommendations.
7. Partner with engineering teams to define data requirements and improve data pipelines.
8. Monitor key performance indicators (KPIs) and suggest optimization strategies.
9. Participate in cross‑functional brainstorming sessions to identify new analytical opportunities.
10. Stay updated with the latest analytical techniques and industry best practices.
Tech Stack: SQL, Python (pandas, numpy, scikit‑learn), R (optional), Google BigQuery, Looker/Data Studio, Tableau, Excel, Git.
Growth Path: Successful analysts can progress to Senior Analyst, Data Scientist, Product Analyst, or move into Product Management and Strategy roles. Google encourages continuous learning through internal courses, mentorship programs, and exposure to high‑impact projects across its product portfolio.
Why Join Google? Working at Google means being part of a culture that values curiosity, creativity, and impact. Employees enjoy world‑class learning resources, a collaborative environment, and the chance to work on products that touch billions of users worldwide. The company’s commitment to diversity, work‑life balance, and employee well‑being makes it an ideal place for fresh talent to launch a rewarding career.
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📋 Quick Info
JOB ID
C2910-J011
POSTED
42m ago
TYPE
Fulltime
BATCH
2026
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