Data Analyst – Business Finance

Candidates typically undergo a three‑round interview process. The first round tests technical skills in SQL, Python, and AI concepts. The second round focuses on case studies and business problem solving, while the final round is HR‑centric, assessing cultural fit and communication.

Round 1: Technical – SQL, Python, AI tools → Round 2: Technical – case study, data modeling, business acumen → Round 3: HR

Razorpay fosters a collaborative and fast‑paced environment where teams experiment with new technologies. Employees enjoy flexible work hours, regular hackathons, and a culture that values continuous learning and work‑life balance.

Bachelor's degree in Computer Science, Information Technology, Engineering, Finance, or related fields. Minimum 60% aggregate in the final year or equivalent. No backlogs. Freshers with 0–2 years of experience in reporting, analytics, or AI are eligible.

Razorpay, a leading fintech company headquartered in Bangalore, has revolutionized online payments in India by providing a seamless, developer‑friendly payment gateway that powers millions of merchants worldwide. With a mission to simplify digital commerce, Razorpay has grown from a startup to a unicorn, earning recognition for its innovative product suite, customer‑centric approach, and a culture that encourages experimentation and rapid learning. The Data Analyst – Business Finance role is a pivotal position that bridges finance and technology. As a key member of the finance team, you will be responsible for designing, automating, and maintaining business reports that drive strategic decision‑making. Your work will involve building AI‑powered workflows to streamline data collection, cleaning, and analysis, ensuring that every financial metric is accurate and actionable. Key responsibilities include: 1. Developing automated dashboards and reports for finance stakeholders using SQL and Python. 2. Collaborating with cross‑functional teams to define data requirements and business KPIs. 3. Implementing AI tools such as Claude to enhance data processing and predictive analytics. 4. Validating data integrity and performing root‑cause analysis for discrepancies. 5. Creating data visualizations in PowerBI or Tableau to communicate insights. 6. Documenting data pipelines, processes, and best practices. 7. Identifying opportunities for process automation and efficiency gains. 8. Supporting ad‑hoc financial analysis and forecasting. 9. Ensuring compliance with data governance and security standards. 10. Mentoring junior analysts and sharing knowledge across the team. Tech stack: SQL, Python, Claude (AI), PowerBI, Tableau, data cleaning libraries (pandas, numpy), version control (Git). Growth path: Starting as a junior analyst, you can progress to senior analyst, lead analyst, or data science roles, eventually moving into product or finance leadership positions. Why join Razorpay? The company offers a collaborative environment where ideas are valued, a strong emphasis on continuous learning, and exposure to cutting‑edge fintech solutions. Employees enjoy flexible work hours, regular hackathons, and a culture that balances ambition with well‑being. If you thrive on solving complex problems and want to impact millions of users, Razorpay is the place to build a rewarding career.