
Eligibility Criteria
Graduates of 2025, 2026 or 2027. Minimum 60% aggregate or CGPA 7.0 in B.Tech/B.E., B.Sc., B.Com or equivalent. All engineering/technology/commerce streams accepted. No active backlogs at the time of joining. Must have a valid Indian address and be eligible to work in India.

Job Description & Key Responsibilities
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, advertising, cloud services, to hardware and AI-driven solutions. In India, Google has a strong presence with offices in Hyderabad, Bangalore, Mumbai, and Gurgaon, employing thousands of engineers, analysts, and business professionals who work on cuttingβedge projects that impact billions of users worldwide. The companyβs culture emphasizes curiosity, collaboration, and a relentless focus on solving realβworld problems, making it an attractive destination for fresh talent looking to accelerate their careers.
The Analyst role at Google India is designed for recent graduates who are passionate about dataβdriven decision making. As an Analyst, you will partner with product managers, engineers, and senior leaders to translate complex data sets into actionable insights that drive product improvements, market strategies, and operational efficiencies. You will be part of a dynamic team that values analytical rigor, creativity, and clear communication.
Key Responsibilities:
1. Collect, clean, and validate large data sets from multiple sources.
2. Perform exploratory data analysis to uncover trends, patterns, and anomalies.
3. Build and maintain dashboards and visualizations using tools like Looker, Data Studio, or Tableau.
4. Develop statistical models and predictive analytics to support business decisions.
5. Collaborate with crossβfunctional teams to define metrics and KPIs.
6. Prepare concise reports and presentations for senior stakeholders.
7. Automate repetitive data pipelines using SQL and Python scripts.
8. Conduct A/B testing and evaluate experiment results.
9. Monitor data quality and implement governance best practices.
10. Stay updated with emerging analytics techniques and recommend process improvements.
Tech Stack: SQL, Python (pandas, NumPy), R, Google BigQuery, Looker/Data Studio, Tableau, Git, Linux.
Growth Path: Starting as an Analyst, high performers can progress to Senior Analyst, Data Scientist, or Product Analyst roles within 2β3 years, with opportunities to move into managerial tracks such as Analytics Manager or Product Lead.
Why Join Google? Google offers an unparalleled learning environment, mentorship from industry experts, and exposure to global scale problems. Employees enjoy generous compensation, stock options, comprehensive health benefits, and a vibrant campus life that encourages workβlife balance, diversity, and inclusion. Joining Google means becoming part of a community that shapes the future of technology while fostering personal and professional growth.