
Eligibility Criteria
Graduates of 2025 batch with a B.Tech/B.E., B.Sc., B.Com, or M.Tech/M.Sc. in Computer Science, Information Technology, Electronics, Statistics, Economics, or related fields; minimum CGPA/percentage of 7.0/70%; no active backlogs at the time of joining; strong analytical mindset and willingness to learn; excellent communication skills in English.

Job Description & Key Responsibilities
Google, a global technology leader, has a strong presence in India with offices in Bengaluru, Hyderabad, Mumbai, and Delhi NCR. The company is renowned for its innovative products, cuttingβedge research, and a culture that encourages curiosity, collaboration, and continuous learning. In India, Google drives digital transformation across sectors such as eβcommerce, finance, education, and healthcare, offering employees the chance to work on products that impact billions of users worldwide. The Indian ecosystem also benefits from Googleβs investments in AI research, cloud services, and developer tools, making it an exciting place for fresh talent to grow.
As an Analyst at Google India, you will be part of the dataβdriven decisionβmaking engine that powers product development, marketing strategies, and operational excellence. You will work closely with product managers, engineers, and senior leadership to translate raw data into actionable insights that shape the future of Googleβs services in the region. The role offers exposure to largeβscale data pipelines, advanced analytics, and a collaborative environment where ideas are turned into realβworld impact.
Key responsibilities include: collecting and cleaning large datasets from multiple sources; performing exploratory data analysis to uncover trends and anomalies; building interactive dashboards and visualisations for stakeholders; developing predictive models using statistical techniques and machine learning; collaborating with crossβfunctional teams to define metrics and KPIs; presenting findings and recommendations to senior leadership; automating repetitive reporting tasks through scripting; monitoring data quality and implementing governance standards; supporting A/B testing frameworks and interpreting results; continuously learning new tools and best practices to improve analytical efficiency.
The tech stack for this role typically comprises Python or R for analysis, SQL and BigQuery for data extraction, Tableau or Looker for visualisation, and Git for version control. Google Cloud Platform services such as Dataflow and Pub/Sub may also be leveraged. Growth path is wellβdefined β analysts can progress to Senior Analyst, Data Scientist, or Product Analyst roles, eventually moving into managerial positions or specialised domains like Machine Learning Engineering. Joining Google means access to worldβclass mentorship, a vibrant internal community, and the chance to work on products that reach a global audience. The companyβs commitment to diversity, inclusion, and employee wellβbeing makes it an ideal launchpad for fresh graduates eager to make a meaningful impact.