Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution.
Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow.
From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech
Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia.
Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently.
Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region.
We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce Ventures, having raised over $740 million to date. Strategic acquisitions - including Ezetap (POS and offline payments), Curlec (Malaysia expansion), BillMe (digital invoicing), and POP (rewards-first UPI) - along with earlier moves in fraud prevention, payroll, and lending, have further strengthened our platform and widened our footprint across Asia.
But what truly sets Razorpay apart is our culture. At Razorpay, ownership is our oxygen - you own what you build, with no micromanagement or red tape, just the runway to make your ideas fly. Learning is a lifestyle - if you’re curious, you’ll feel at home here. People > Pedigree - we hire for attitude, hustle, and hunger more than degrees. Transparency thrives over titles - this is where interns question CXOs and CXOs say “thank you.” Guided by our values of Customer First, Autonomy & Ownership, Agility with Integrity, Transparency, Challenging the status quo and a strong belief that Razorpay grows with Razors, you’ll be part of a 3000+ strong team building not just products, but the financial infrastructure of the future.
Role Overview:
We are looking for a highly analytical and detail-oriented Lead Data Analyst to join our team. The role involves working extensively on MIS reporting, business analytics, dashboarding, automation, and data-driven decision-making while leading high-impact analytical initiatives across business functions. The candidate will collaborate with multiple business stakeholders to analyze large datasets, generate actionable insights, automate reporting workflows, and support strategic business initiatives.
The ideal candidate should be comfortable working in a fast-paced environment, possess strong analytical and problem-solving skills, have hands-on experience with SQL, Python, dashboards, and modern AI tools, and demonstrate the ability to mentor team members and influence business decisions through data.
Key Responsibilities:
- Prepare, maintain, and drive improvements in MIS reports, dashboards, and business performance trackers.
- Analyze large datasets to identify business trends, growth opportunities, operational gaps, and performance insights.
- Develop and optimize advanced SQL queries for data extraction, transformation, and analysis.
- Build interactive dashboards and visualizations using Power BI/Tableau.
- Use Python for data cleaning, automation, reporting, and analytical workflows.
- Collaborate with cross-functional teams to understand business requirements and deliver scalable analytical solutions.
- Support automation initiatives using AI tools such as Claude, Gemini, and other GenAI platforms.
- Assist in creating AI-driven workflows, integrations, plug-ins, and automation use cases.
- Present insights through structured storytelling and executive-level summaries to business stakeholders.
- Ensure accuracy, consistency, and validation of business-critical reports and dashboards.
- Own end-to-end delivery of key analytics initiatives and provide guidance to junior analysts on best practices.
- Partner with business stakeholders to define KPIs and recommend data-driven improvements to business processes.
Required Skills:
- Strong knowledge of SQL (Advanced SQL preferred)
- Advanced Excel skills
- Good understanding of Python for data analysis and automation
- Hands-on experience with Python libraries
- Basic understanding of Machine Learning concepts
- Hands-on experience with Power BI and/or Tableau
- Experience in building interactive dashboards and reports
- Strong understanding of business metrics and analytical problem-solving
- Ability to perform storytelling with data and present insights effectively
- Comfortable working with large datasets and numerical analysis
- Familiarity with AI tools such as Claude, Gemini, or similar GenAI platforms
- Strong stakeholder management and communication skills
- Ability to lead analytical projects independently and mentor junior team members
Preferred Skills:
- Understanding of dashboard automation and reporting workflows
- Exposure to APIs, integrations, or AI-based automation use cases
- Basic knowledge of predictive analytics/statistical modeling
- Strong communication and stakeholder management skills
- Ability to work independently in a fast-paced environment
- Experience driving cross-functional analytics initiatives and collaborating with senior business stakeholders
Experience:
2-5 Years
Education:
Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, Data Analytics, Information Technology, or related fields.
Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.Follow us on LinkedIn & Twitter