Job Description

Razorpay was founded by and in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India.
We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via ) and enabling capital availability for businesses (via ).
The Role
The Analytics Team at Razorpay is a group of curious problem solvers who drive data-led decision-making across the organization. We work on high-impact business challenges, leveraging data mining, experimentation, statistical analysis, and machine learning where applicable.
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.
Strategic Analytics & Business Insights

• Develop a deep understanding of ad network performance, customer engagement, and marketing analytics, identifying high-impact opportunities for optimization.
• Define and refine key business metrics, ensuring accurate tracking, instrumentation, and data quality in collaboration with engineering teams.
• Conduct exploratory analyses, cohort studies, and funnel deep dives to uncover actionable insights that drive campaign efficiency, customer LTV, and retention strategies.
• Work closely with Sales, Marketing, and Growth teams to optimize campaign performance, measure ROI, and improve attribution modeling and bid optimization.
• Structure problem-solving frameworks that drive measurable impact across customer engagement initiatives.

2. Experimentation & Optimization

• Design and analyze A/B tests to measure the impact of marketing campaigns, product features, and engagement strategies.
• Ensure statistical rigor in all analyses, experiment designs, and hypothesis testing to validate growth initiatives.
• Develop scalable methodologies for predictive modeling, churn analysis, and personalized engagement strategies.

3. Data Strategy & Automation

• Build self-serve analytics solutions using Tableau, SQL, and Python, empowering stakeholders with real-time insights.
• Collaborate with data engineering teams to enhance data pipeline efficiency, scalability, and governance.
• Drive central analytics initiatives that improve efficiency, automation, and standardization across analytics workflows.

What We're Looking For
Mandatory Qualifications

• 6+ years of experience in Analytics & Data Science, with 4+ years in Tech (AdTech, MarTech, Consumer Tech, FinTech, SaaS, or E-commerce preferred).
• Mandatory experience in Ad Network Analytics - including campaign attribution, bid optimization, CAC/LTV modeling, and ad spend efficiency.
• Expertise in SQL, Python, and Tableau for large-scale data analysis.
• Proven track record in marketing, growth, and engagement analytics, including customer segmentation, funnel optimization, and retention modeling.
• Experience in A/B testing, hypothesis testing, and statistical modeling.
• Ability to translate complex analytical insights into clear, data-driven business recommendations for senior stakeholders.

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.

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.
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