Data & Automation Intern

Google's internship interview typically consists of an online coding assessment followed by two technical rounds focusing on data manipulation, Python scripting, and BI tool knowledge. The final HR round assesses cultural fit and motivation. The process is challenging but fair, with interviewers valuing problem‑solving approach and clear communication.

Google Docs promotes a collaborative, open‑culture environment where ideas are shared freely and employees are encouraged to experiment. The company offers strong growth opportunities, mentorship programs, and a healthy work‑life balance, with flexible remote options and regular wellness initiatives.

Currently enrolled in a Bachelor’s or Master’s degree (B.Tech, B.E., B.Sc., M.Tech, or equivalent) in Computer Science, Information Technology, Electronics, or any quantitative discipline. Minimum CGPA/percentage of 60% (or equivalent). Must belong to the 2026 graduating batch. No active backlogs at the time of application. Strong analytical mindset and willingness to learn new tools.

Round 1: Online Assessment (coding & data‑analysis problems) → Round 2: Technical Interview (Python, SQL, BI tool discussion) → Round 3: HR Interview (fit, motivation, internship logistics)

Google, the global technology leader behind products like Search, Android, and Google Workspace, has built a reputation for fostering innovation, collaboration, and a culture of continuous learning. Its suite of productivity tools, including Google Docs, Sheets, and Slides, powers millions of users worldwide, making data-driven decision‑making a core part of its daily operations. The company invests heavily in building robust data pipelines, interactive visualisations, and automation frameworks that enable teams to move faster and focus on high‑impact problems. As part of this ecosystem, the Data & Automation Intern role offers a unique opportunity to work on real‑world data challenges, contribute to end‑to‑end analytics solutions, and develop automation scripts that streamline internal workflows. In this internship, you will be embedded within the Data Enablement team, collaborating with product managers, engineers, and business analysts to turn raw data into actionable insights. You will gain hands‑on experience with cloud data warehouses, modern BI tools, and Python‑based automation, while also learning best practices for data cleaning, transformation, and visual storytelling. The role is designed for self‑motivated students who enjoy turning messy spreadsheets into polished dashboards and building scripts that eliminate repetitive manual tasks. Key Responsibilities: 1. Extract, clean, and transform data from heterogeneous sources such as Excel files, CSVs, and Google BigQuery tables. 2. Design, develop, and publish interactive dashboards using Power BI and/or Zoho Analytics, ensuring data accuracy and visual appeal. 3. Write Python automation scripts leveraging libraries like Selenium and Playwright to automate data collection, report generation, and routine admin tasks. 4. Create and maintain documentation for data pipelines, dashboard logic, and automation workflows. 5. Collaborate with cross‑functional teams to gather requirements, iterate on prototypes, and deliver lightweight internal tools. 6. Perform ad‑hoc data analysis to support decision‑making across product, marketing, and operations teams. 7. Monitor data quality metrics and set up alerts for anomalies or pipeline failures. 8. Participate in code reviews and adopt version‑control best practices using Git. 9. Stay updated with emerging data‑visualisation trends and suggest improvements to existing reporting frameworks. 10. Contribute ideas for scaling automation solutions across the organisation. Tech Stack: Power BI, Zoho Analytics, Python (pandas, numpy, Selenium, Playwright), SQL, Google BigQuery, Git, Excel. Growth Path: Successful interns often transition to full‑time Analyst or Engineer roles within Google’s Data & Analytics divisions, gaining exposure to large‑scale data engineering projects, advanced machine‑learning pipelines, and product‑focused analytics. The internship serves as a springboard to deeper specialisation in Business Intelligence, Data Engineering, or Automation Engineering. Why Join Google Docs? Working at Google means access to world‑class mentorship, cutting‑edge tools, and a culture that celebrates curiosity. Interns are trusted with meaningful projects that impact millions of users, receive regular feedback, and are part of a diverse, inclusive community that values work‑life balance and personal growth.