Lead Analytics Specialist

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 seamless checkouts to payroll automation, across India, Singapore, and Malaysia, we’ve been engineering a fintech ecosystem that’s redefining how money moves across Asia — and we’re just getting started.

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.

The Role:

Lead Analytics specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Setting high standards in project management and mentoring analysts.

You will be partnering closely with Business, Marketing & Product teams to drive insights, optimize strategies, and create measurable impact. This role is ideal for someone who thrives on solving ambiguous problems, mentoring high-performing teams, and using data to influence business outcomes.

Roles and Responsibilities:

• You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed
• You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML
• You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view
• You would conduct exploratory analyses, cohort studies, and funnel deep dives to uncover actionable insights that drive campaign efficiency, customer LTV, and retention strategies.
• You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms
• You will develop compelling stories with business insights, focusing on strategic goals of the organization
• You will work closely with Sales, Marketing, and Growth teams to optimize campaign performance, measure ROI, and improve attribution modeling and bid optimization.
• Set high standards in project management; own scope and timelines for the team
• Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.)
• Drive central analytics initiatives that improve efficiency, automation, and standardization across analytics workflows.
• Mentoring analysts within the team to deliver effectively, incubating new ideas.

Mandatory Qualifications:

• Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field
• 5-7 years of high quality hands-on experience in analytics and data science and 3+ years on AdTech or MarTech

• Mandatory experience in Ad Network Analytics – including campaign attribution, bid optimization, CAC/LTV modeling, and ad spend efficiency.

• Hands on experience in SQL and Python
• Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc.
• Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization.
• Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction
• Work experience in Consumer-tech organizations would be a plus
• Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities
• Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning

Preferred Qualifications

• Experience in product analytics, including feature experimentation and user behavior analysis.
• Exposure to machine learning models for churn prediction, personalization, and marketing automation.
• Working knowledge of web analytics, growth marketing, and performance marketing strategies.