Data & Automation Intern – Corporate Finance Analytics

Google's interview process typically starts with an online assessment focusing on SQL queries and Python scripting, followed by a technical interview that dives deep into data pipeline design, ETL concepts, and finance‑related problem solving. The final HR round assesses cultural fit, communication skills, and internship expectations. Candidates should practice clear problem articulation and showcase analytical thinking.

Google is renowned for its open, innovative, and inclusive work culture where employees are encouraged to experiment and learn continuously. The company offers abundant growth opportunities, mentorship programs, and a balanced work‑life environment that values employee well‑being.

Graduates or final‑year students pursuing B.Tech/B.E., B.Sc., B.Com, MCA, or equivalent in Computer Science, Information Technology, Electronics, Finance, or related streams. Minimum aggregate of 60% (or CGPA 6.0/10). Expected graduation batch 2024‑2026. No active backlogs at the time of application. Candidates must be eligible to work in India.

Round 1: Online assessment (SQL & Python coding) → Round 2: Technical interview (data pipelines, finance concepts) → Round 3: HR interview (fit, motivation, internship logistics)

Google, a global technology leader, has built a reputation for pioneering products that touch billions of lives daily. From its search engine to cloud services, advertising platforms, and AI-driven solutions, the company thrives on data‑driven decision making and relentless innovation. The corporate finance division plays a crucial role in steering the organization’s financial health, optimizing capital allocation, and ensuring compliance across its massive ecosystem. As part of Google’s finance analytics ecosystem, interns get a front‑row seat to real‑world financial data pipelines, automation frameworks, and strategic reporting that influence multi‑billion‑dollar decisions. The Data & Automation Intern – Corporate Finance Analytics role is designed for fresh graduates or final‑year students eager to blend finance acumen with technical prowess. Interns will work closely with senior analysts and engineers to design, develop, and maintain end‑to‑end data pipelines that ingest, clean, and transform financial data from disparate sources. The position offers hands‑on exposure to SQL query optimization, Python scripting for automation, and cloud‑based services such as Google Cloud Platform (BigQuery, Cloud Functions, and Dataflow). The experience is structured to provide a holistic view of how data fuels financial planning, forecasting, and performance measurement at a world‑class organization. Key responsibilities include: 1. Build and maintain scalable SQL queries for financial data extraction and reporting. 2. Develop Python scripts to automate repetitive finance workflows and data validation tasks. 3. Design ETL pipelines using GCP tools to ensure timely and accurate data flow. 4. Collaborate with finance stakeholders to understand reporting requirements and translate them into technical solutions. 5. Conduct data quality checks, identify anomalies, and propose corrective actions. 6. Create dashboards and visualizations to present insights to senior finance leaders. 7. Document processes, code, and data lineage for knowledge sharing. 8. Participate in code reviews and adopt best practices for version control (Git). 9. Assist in ad‑hoc financial analysis and scenario modelling. 10. Stay updated with emerging data‑automation technologies and suggest improvements. The tech stack revolves around SQL, Python, Google BigQuery, Cloud Functions, Dataflow, and Git. Successful interns can expect a clear growth path: strong performance may lead to a full‑time Analyst role, with opportunities to specialize in data engineering, financial modelling, or product finance. Joining Google means access to world‑class mentorship, a culture that celebrates curiosity, and a platform to impact products used by billions. The internship not only sharpens technical skills but also deepens understanding of corporate finance in a fast‑moving tech environment, making it an ideal launchpad for a career at the intersection of data and finance.