Analyst, Business Operations at Razorpay

Razorpay is at the forefront of India's fintech revolution, empowering millions of merchants with seamless payment solutions. As an Analyst in Business Operations, you will sit at the nexus of product, finance, and engineering, gaining exposure to high‑impact decisions that shape the future of digital commerce. The company's culture of rapid experimentation and data‑driven thinking offers a rare learning curve, where every insight you generate can directly influence product roadmaps and operational efficiency. Working in Bangalore, the tech hub of India, further amplifies networking opportunities with top talent and industry leaders, positioning you for accelerated career growth. Beyond the immediate role, Razorpay invests heavily in employee development through structured mentorship programs, internal hackathons, and continuous learning budgets. The organization’s commitment to diversity and inclusion ensures a collaborative environment where fresh perspectives are valued. For a 2026 graduate, this role provides a launchpad into the broader fintech ecosystem, opening doors to senior strategy, product management, or data science tracks as the company scales globally.

Prepare for case‑study style questions that mimic real operational challenges at Razorpay—such as improving transaction success rates or reducing settlement latency. Practice structuring your analysis: define the problem, outline data requirements, sketch a simple analytical approach (e.g., SQL query, Excel pivot), and articulate actionable recommendations. Reviewing Razorpay’s recent product launches and quarterly earnings can help you tailor answers to the company’s current priorities. Technical preparation should focus on SQL query optimization, data manipulation in Excel (advanced formulas, pivot tables), and basic data‑visualization concepts. Expect a practical test where you’ll clean a sample dataset, generate a KPI dashboard, or interpret a chart to identify trends. Simultaneously, hone your storytelling skills—explain complex findings in clear, business‑orientated language, demonstrating both analytical rigor and stakeholder communication prowess.