🏢 Dream 11
Backend Engineer
💼 Fulltime
🎓 2025 Batch
📍 Mumbai
⚡ 3 days left!
🛠 Skills Required
Data analysis
SQL
Python
Excel
Tableau
Google BigQuery
statistical modeling
A/B testing
communication
problem solving
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🎤 Interview Experience
Google's interview process is rigorous yet structured, typically starting with an online assessment that tests SQL and logical reasoning, followed by two technical rounds focusing on case studies, data modeling, and coding. The final HR round evaluates cultural fit and communication skills. Candidates should practice problem‑solving under time pressure and be ready to discuss past projects with clear metrics.
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Don't miss this opportunity!
Apply before 05 Oct 2026 — only 3 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, helping candidates prepare strategically.
Open Resource ↗
Google Interview Preparation Guide
Comprehensive guide covering typical questions, tips, and resources for Google interviews.
Open Resource ↗
Comprehensive Coding Problem Set
Extensive collection of coding problems to sharpen algorithmic skills required for technical rounds.
Open Resource ↗
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🎯
Don't miss this opportunity!
Apply before 05 Oct 2026 — only 3 days left
Creator Pick · Promoted by Creator
🏆 Selection Process
Round 1: Online Assessment (SQL & logical reasoning) → Round 2: Technical Interview (case studies, data modeling, coding) → Round 3: HR Interview (fit, culture, compensation discussion)
🏢 Work Culture
Google is renowned for its open, collaborative environment where ideas are encouraged and meritocracy thrives. Employees enjoy a healthy work‑life balance, flexible work arrangements, and abundant opportunities for professional growth through internal mobility and continuous learning programs.
✅ Eligibility Criteria
Graduates (B.Tech/B.E., B.Sc, B.Com, BBA, or equivalent) from any stream with a minimum of 60% aggregate (or CGPA 6.5/10). Final year students of the 2025 batch are eligible. No active backlogs at the time of joining. Candidates must have a valid GATE/CSIR score (optional) and be proficient in English (both written and spoken).
📋 About the Role
Google, a global technology leader, has built its reputation on innovation, scale, and a relentless focus on solving complex problems for billions of users. Headquartered in Mountain View, California, Google operates across a wide spectrum of products – from search and advertising to cloud services, AI, and hardware. In India, Google maintains a strong presence with offices in Hyderabad, Bengaluru, and Gurgaon, fostering a vibrant ecosystem that blends cutting‑edge research with real‑world product development. The company’s culture emphasizes openness, continuous learning, and a data‑driven mindset, encouraging employees to experiment, iterate, and deliver impact at massive scale.
The Analyst role at Google India is designed for fresh graduates who are passionate about turning raw data into actionable insights that drive business decisions. As an Analyst, you will work closely with product managers, engineers, and senior leadership to understand business challenges, formulate analytical frameworks, and present findings that influence product roadmaps and go‑to‑market strategies. This position offers exposure to a variety of domains such as advertising, cloud services, and consumer products, providing a solid foundation for a long‑term career in data analytics and product strategy.
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 statistical models and dashboards to support decision‑making.
4. Translate complex analytical results into clear, concise visualizations and presentations for non‑technical stakeholders.
5. Collaborate with cross‑functional teams to define metrics, set targets, and track performance.
6. Conduct A/B testing and experiment design to evaluate product features.
7. Automate repetitive reporting tasks using scripting languages.
8. Document analytical methodologies and maintain data governance standards.
9. Stay updated with emerging analytical tools and best practices.
10. Contribute to knowledge‑sharing sessions and mentor junior analysts.
Tech Stack: SQL, Python (pandas, numpy, scikit‑learn), Tableau/Looker, Google BigQuery, Excel, Git.
Growth Path: Analysts typically progress to Senior Analyst, Data Scientist, Product Analyst, or Product Manager roles within 2‑4 years, depending on performance and skill acquisition. Google encourages internal mobility, offering structured learning programs, mentorship, and access to world‑class research labs.
Why Join Google? Working at Google provides unparalleled exposure to massive data sets, a culture that rewards curiosity, and the opportunity to influence products used by millions daily. Employees benefit from generous compensation, comprehensive health benefits, flexible work arrangements, and a supportive community that values diversity and inclusion. The company’s commitment to continuous learning ensures that you will constantly develop new skills, stay ahead of industry trends, and build a career that scales with the organization’s global impact.
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📋 Quick Info
JOB ID
C2910-J005
POSTED
51m ago
TYPE
Fulltime
BATCH
2025
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