Data Analyst, Business Finance

Round 1: Online assessment (SQL & Python coding + AI tool basics) → Round 2: Technical interview (case studies, data modeling, BI tool usage) → Round 3: HR interview (cultural fit, career aspirations).

Razorpay promotes a high‑ownership culture where employees are encouraged to experiment and own end‑to‑end outcomes. The company offers fast‑track growth, mentorship from senior leaders and a collaborative environment that balances challenging projects with a supportive work‑life balance.

Razorpay’s interview process is known for being rigorous yet fair. Candidates first face an online assessment focusing on SQL queries, Python data manipulation and basic AI tool knowledge. The technical interview dives deeper into case‑based financial analysis, dashboard creation and problem‑solving under time pressure. Finally, the HR round assesses cultural fit, communication skills and alignment with Razorpay’s values. Preparing with real‑world finance scenarios and showcasing hands‑on AI workflow projects can give a strong edge.

• Minimum 0‑2 years of experience in reporting, analytics or AI. • Bachelor’s degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Commerce or an MBA. • CGPA/percentage ≥ 6.5/70% (or equivalent). • No active backlogs at the time of joining. • Strong analytical mindset, attention to detail and ability to work independently. • Willingness to work from the Bengaluru office.

Razorpay is one of India’s premier full‑stack fintech companies, founded in 2014 with the vision of simplifying payments for Indian businesses. Over the past decade the company has grown from a startup to a $180+ billion annualized transaction processor, serving more than 100 unicorns and a host of global brands such as Airbnb, Facebook, Zomato and Swiggy. With a presence across India, Singapore and Malaysia, Razorpay’s product suite spans checkout, payroll automation, invoicing, smart payouts, AI‑driven fraud detection and real‑time risk intelligence. The firm is backed by marquee investors like GIC, Tiger Global and Mastercard, and continues to expand through strategic acquisitions such as Ezetap and BillMe. The Business Finance team sits at the intersection of finance, product and data, enabling the company to make data‑driven decisions that fuel growth. As a Data Analyst – Business Finance you will partner with finance leaders, product managers and engineering to translate raw data into actionable insights, build automated reporting pipelines and embed AI‑powered workflows that reduce manual effort. This role is ideal for recent graduates or early‑career professionals who love numbers, are comfortable with SQL and Python, and are eager to experiment with generative AI tools like Claude to accelerate analysis. **Key Responsibilities** 1. Design, develop and maintain automated business dashboards and financial reports using PowerBI/Tableau. 2. Extract, transform and load (ETL) data from multiple sources (transactional DBs, data lakes, third‑party APIs) using SQL and Python scripts. 3. Validate data quality and ensure accuracy of financial metrics such as revenue, churn, cash‑flow and cost‑to‑serve. 4. Build AI‑enabled workflows (e.g., Claude prompts) to automate repetitive analysis tasks and generate insights on demand. 5. Conduct ad‑hoc deep‑dive analyses to support budgeting, forecasting and strategic initiatives. 6. Collaborate with product and engineering teams to define data requirements and improve data pipelines. 7. Identify process inefficiencies and propose automation or optimization solutions. 8. Prepare concise executive summaries and visual storytelling for senior leadership. 9. Stay updated on emerging analytics tools, AI capabilities and fintech trends to continuously enhance the analytics stack. 10. Mentor junior analysts or interns on best practices in data handling and reporting. **Tech Stack**: SQL, Python (pandas, numpy), Claude (or other LLMs), PowerBI, Tableau, Git, JIRA, Excel, basic knowledge of cloud data warehouses (Snowflake/BigQuery). **Growth Path**: Starting as a Data Analyst, you can progress to Senior Analyst, Finance Business Partner, and eventually Finance Manager or Head of Business Analytics, with ample opportunities to lead cross‑functional projects and influence product strategy. **Why Join Razorpay?** Razorpay’s culture prizes ownership, autonomy and relentless learning. You will work alongside industry veterans, get direct exposure to high‑impact financial products, and have the freedom to experiment with cutting‑edge AI tools. The company’s commitment to diversity, transparent communication and rapid career progression makes it an ideal launchpad for ambitious analysts.