
Eligibility Criteria
Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or related fields; any branch accepted. Minimum 60% aggregate (or CGPA 6.0/10). Eligible batches: 2023β2025. Maximum of 2 backlogs allowed; no active backlogs at the time of joining.

Job Description & Key Responsibilities
Google, a global technology leader, has built its reputation on innovation, scale, and a relentless focus on user experience. Headquartered in Mountain View, the company operates across more than 50 countries, offering products ranging from search and advertising to cloud services, AI, and hardware. In India, Googleβs presence spans engineering, sales, marketing, and research centers, with Bengaluru serving as a major hub for product development and data analytics. The organizationβs culture emphasizes openness, collaboration, and continuous learning, encouraging employees to experiment, take ownership, and make an impact at scale.
The Analyst role at Google India is designed for fresh graduates who are passionate about turning data into actionable insights. As an Analyst, you will work closely with product managers, engineers, and senior leadership to understand business problems, design analytical frameworks, and deliver dataβdriven recommendations. This position offers exposure to largeβscale data pipelines, cuttingβedge analytics tools, and crossβfunctional projects that directly influence product strategy and user experience.
Key Responsibilities:
1. Collect, clean, and validate large datasets from multiple sources.
2. Perform exploratory data analysis to uncover trends, patterns, and anomalies.
3. Build and maintain dashboards and visualizations for stakeholders using tools like Tableau or Looker.
4. Develop statistical models and predictive algorithms to support product decisions.
5. Conduct A/B testing and experiment analysis to evaluate feature performance.
6. Translate complex analytical findings into clear, concise business recommendations.
7. Collaborate with engineering teams to define data requirements and improve data quality.
8. Document analytical methodologies, assumptions, and results for reproducibility.
9. Stay updated with emerging analytics techniques and propose innovative solutions.
10. Participate in knowledgeβsharing sessions and mentor junior team members.
Tech Stack: SQL, Python (pandas, NumPy, scikitβlearn), R, Tableau/Looker, Google BigQuery, Git, and basic knowledge of cloud platforms (GCP).
Growth Path: Analysts typically 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. Googleβs internal mobility program encourages lateral moves across teams, fostering a broad skill set and career flexibility.
Why Join Google? Working at Google means being part of a worldβclass talent pool, accessing unparalleled learning resources, and contributing to products that touch billions of users daily. The company offers competitive compensation, generous benefits, and a supportive environment that values diversity, inclusion, and workβlife balance. Freshers get mentorship from seasoned professionals, a clear career roadmap, and the chance to solve realβworld problems at massive scale.