Senior Manager - Analytics

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 ofad network performance, customer engagement, and marketing analytics, identifying high-impact opportunities for optimization.
• Define and refine key business metrics, ensuringaccurate tracking, instrumentation, and data qualityin collaboration with engineering teams.
• Conductexploratory analyses, cohort studies, and funnel deep divesto uncover actionable insights that drivecampaign efficiency, customer LTV, and retention strategies.
• Work closely withSales, Marketing, and Growth teamsto optimize campaign performance, measure ROI, and improveattribution modeling and bid optimization.
• Structure problem-solving frameworks thatdrive measurable impact across customer engagement initiatives.

Experimentation & Optimization

• Design and analyzeA/B teststo measure the impact of marketing campaigns, product features, and engagement strategies.
• Ensurestatistical rigorin all analyses, experiment designs, and hypothesis testing to validate growth initiatives.
• Develop scalable methodologies forpredictive modeling, churn analysis, and personalized engagement strategies.

Data Strategy & Automation

• Buildself-serve analytics solutionsusingTableau, SQL, and Python, empowering stakeholders with real-time insights.
• Collaborate withdata engineering teamsto enhancedata pipeline efficiency, scalability, and governance.
• Drive central analytics initiatives thatimprove efficiency, automation, and standardizationacross analytics workflows.

What We re Looking ForMandatory Qualifications

• 8+ yearsof experience inAnalytics & Data Science, with4+ years in Tech (AdTech, MarTech, Consumer Tech, FinTech, SaaS, or E-commerce preferred).
• Mandatory experience in Ad Network Analytics- includingcampaign attribution, bid optimization, CAC/LTV modeling, and ad spend efficiency.
• Expertise inSQL, Python, and Tableaufor large-scale data analysis.
• Proven track record inmarketing, growth, and engagement analytics, includingcustomer segmentation, funnel optimization, and retention modeling.
• Experience inA/B testing, hypothesis testing, and statistical modeling.
• Ability to translate complex analytical insights intoclear, data-driven business recommendationsfor senior stakeholders.

Preferred Qualifications

• Experience inproduct analytics, includingfeature experimentation and user behavior analysis.
• Exposure tomachine learning modelsforchurn prediction, personalization, and marketing automation.
• Working knowledge ofweb analytics, growth marketing, and performance marketing strategies.