Lead Data Analyst

Razorpay is one of Indias 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 - weve since grown into a fintech powerhouse driving Indias 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 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 thats redefining how money moves across Asia.

Today that ecosystem supports everyone from early-stage startups to some of Indias 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 Indias 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 youre curious youll 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 youll 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:

3-5 Years

Education:

Bachelors degree in Engineering Computer Science Statistics Mathematics Data Analytics Information Technology or related fields.