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

• 8+ 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.