🏢 Wedding Company
Backend Engineer Intern
💼 Fulltime
📍 Bengaluru, Karnataka
🛠 Skills Required
SQL
Python
R
Data Visualization
Statistical Analysis
A/B Testing
BigQuery
Looker
Data Studio
Tableau
Problem Solving
Communication
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Don't miss this opportunity!
Apply before 12 Nov 2026 — only 20 days left
Creator Pick · Promoted by Creator
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📚 Free Study Materials (4)
Google Placement Papers
Curated set of previous Google placement questions to help you practice core concepts and problem‑solving techniques.
Open Resource ↗
Google Recruitment Process Insights
Detailed overview of Google's interview stages, question patterns, and preparation tips for freshers.
Open Resource ↗
Google Interview Preparation Guide
Comprehensive guide covering technical, analytical, and behavioral aspects of Google interviews.
Open Resource ↗
Algorithm Practice Problems
Extensive collection of coding problems to sharpen algorithmic thinking required for Google assessments.
Open Resource ↗
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🎯
Don't miss this opportunity!
Apply before 12 Nov 2026 — only 20 days left
Creator Pick · Promoted by Creator
🏆 Selection Process
Round 1: Online Assessment (SQL & Logical Reasoning) → Round 2: Technical Interview (Data Analysis, Statistics, Programming) → Round 3: Managerial/Case Study Interview → Round 4: HR Interview (fit & culture)
🏢 Work Culture
Google is renowned for its open, innovative work culture that encourages employees to experiment and share ideas freely. The company offers extensive learning resources, mentorship programs, and a strong emphasis on work‑life balance, allowing employees to pursue personal interests alongside professional goals.
🎤 Interview Experience
Google’s interview process typically starts with an online assessment focusing on SQL queries and logical reasoning, followed by technical rounds that test data analysis, statistical modeling, and programming skills. Candidates then face a case‑study or managerial interview to evaluate problem‑solving approach and communication, concluding with an HR round that assesses cultural fit. Preparation should emphasize clear articulation of analytical methods and hands‑on practice with Google’s data tools.
✅ 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 2025, 2026, or 2027 batches are eligible. No active backlogs at the time of joining. Candidates must have strong analytical aptitude, proficiency in SQL and a programming language (Python/R), and good communication skills.
📋 About the Role
Google, a global technology leader, has built its reputation on innovation, scale, and a relentless focus on user experience. Headquartered in Mountain View, California, the company operates across more than 50 countries, with a strong presence in India through offices in Bengaluru, Hyderabad, and Mumbai. Google’s Indian operations span product development, cloud services, advertising, and AI research, offering a vibrant ecosystem where engineers, analysts, and product managers collaborate to solve real‑world problems at massive scale. The company’s culture emphasizes openness, continuous learning, and a data‑driven mindset, making it an ideal destination for fresh graduates eager to make an impact.
The Analyst role at Google India is designed for recent graduates who are passionate about turning data into actionable insights. As an Analyst, you will work closely with cross‑functional teams—product, engineering, marketing, and finance—to understand business challenges, design analytical frameworks, and deliver recommendations that drive product improvements and business growth. You will be exposed to Google’s cutting‑edge data infrastructure, including BigQuery, Dataflow, and Looker, and will have the opportunity to develop expertise in statistical modeling, visualization, and storytelling with data.
Key Responsibilities:
1. Collect, clean, and transform large datasets from multiple sources to support analytical projects.
2. Perform exploratory data analysis to uncover trends, patterns, and anomalies.
3. Build and maintain dashboards and reports using Looker, Data Studio, or Tableau for stakeholders.
4. Develop statistical models and predictive algorithms to forecast user behavior and business metrics.
5. Conduct A/B testing and experiment analysis to evaluate product changes.
6. Translate complex analytical findings into clear, concise presentations for senior leadership.
7. Collaborate with engineering teams to define data requirements and improve data pipelines.
8. Document analytical methodologies, assumptions, and results for reproducibility.
9. Stay updated with emerging analytics tools and best practices, sharing knowledge within the team.
10. Contribute to continuous improvement of Google’s data‑driven decision‑making processes.
Tech Stack: SQL, Python/R, Google BigQuery, Dataflow, Looker, Google Data Studio, Tableau, Git, Linux.
Growth Path: Starting as an Analyst, high performers can progress to Senior Analyst, Data Scientist, or Product Analyst roles, eventually moving into leadership positions such as Analytics Manager or Business Intelligence Lead. Google encourages internal mobility, allowing you to explore adjacent domains like machine learning, product management, or consulting.
Why Join Google? You will work on problems that affect billions of users worldwide, gain exposure to world‑class data infrastructure, and benefit from a culture that rewards curiosity, creativity, and collaboration. The company offers competitive compensation, generous learning budgets, mentorship programs, and a supportive environment that values diversity and inclusion. Joining Google means being part of a community that constantly pushes the boundaries of technology while fostering personal and professional growth.
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📋 Quick Info
JOB ID
C2910-J020
POSTED
37m ago
TYPE
Fulltime
BATCH
All Batches
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