Analyst

Visa’s interview process typically consists of an online aptitude test followed by a technical interview focusing on SQL, Python, and data‑visualization concepts, and finally an HR round assessing cultural fit and motivation. The difficulty is moderate; thorough preparation on data analytics fundamentals and basic GenAI concepts helps candidates stand out.

Visa promotes a collaborative, innovation‑driven culture where employees are encouraged to experiment with emerging technologies. The company offers structured learning programs, clear career ladders, and a balanced hybrid work environment that supports both personal growth and work‑life harmony.

Bachelor’s degree in Engineering, Computer Science, Economics, Finance, Business Analytics or related discipline; minimum 60% aggregate; graduating batch 2026; maximum one active backlog allowed; strong analytical mindset and willingness to learn AI‑enabled tools.

Round 1: Online Assessment (aptitude & logical reasoning) → Round 2: Technical Interview (SQL, Python, Power BI, GenAI concepts) → Round 3: HR Interview (fit & motivation)

Visa is a global payments technology leader that enables digital transactions between consumers, merchants, financial institutions, and governments across more than 200 countries and territories. The company’s platform processes billions of transactions every day, driving innovation in secure, fast, and reliable payment experiences. Working at Visa gives fresh graduates exposure to a truly international ecosystem where data and technology shape the future of commerce. The Analyst role is part of Visa’s CEMEA Commercial Effectiveness team in Bengaluru. This team partners with sales, product, finance, and strategy functions to translate raw data into actionable commercial insights that drive revenue growth, market share expansion, and portfolio optimization. The position blends traditional business analytics with cutting‑edge Generative AI tools, allowing analysts to automate repetitive tasks, accelerate reporting, and deliver smarter recommendations. **Key Responsibilities** 1. Analyze commercial performance across markets, clients, and product portfolios to uncover revenue and yield opportunities. 2. Convert large, complex datasets into clear, business‑focused insights and visual narratives. 3. Build and maintain interactive dashboards using Power BI and Tableau for real‑time performance monitoring. 4. Leverage GenAI platforms (Microsoft Copilot, ChatGPT, Claude, Gemini) to automate analysis, generate preliminary insights, and streamline reporting workflows. 5. Conduct market and competitor analysis to identify trends, risks, and growth levers. 6. Prepare executive‑level presentations and strategic briefs that influence senior decision‑makers. 7. Collaborate with cross‑functional teams—Sales, Product, Finance, Strategy, Technology—to align analytics with business objectives. 8. Develop and document automated data pipelines using SQL and Python to ensure data quality and repeatability. 9. Identify and implement process improvements that increase analytical productivity and reduce manual effort. 10. Support ad‑hoc business queries and deep‑dive investigations as required by leadership. **Tech Stack**: Excel, PowerPoint, Power BI, Tableau, SQL, Python, GenAI tools (Microsoft Copilot, ChatGPT, Claude, Gemini), data visualization, automation scripts. **Growth Path**: Analyst → Senior Analyst → Business Analytics Manager → Commercial Strategy Lead → Director of Commercial Effectiveness. Visa’s global footprint and internal mobility programs enable rapid skill development and career progression. **Why Join Visa**: As a fresh graduate, you’ll work on high‑impact projects that influence billions of transactions worldwide, gain hands‑on experience with AI‑augmented analytics, and benefit from Visa’s strong learning culture, mentorship, and competitive compensation. The hybrid work model offers flexibility while fostering collaboration in a vibrant Bengaluru office.