Senior Manager I, Analytics

Razorpay was founded by Shashank Kumar and Harshil Mathur 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. 

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.

As a Senior Manager - Analytics, you will lead a team of analysts, 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.

Key Responsibilities

1. Leadership & People Management

• Lead, mentor, and develop a team of analysts, fostering a culture of structured problem-solving and analytical excellence.
• Set high performance benchmarks, create learning opportunities, and ensure a growth-oriented team environment.
• Own stakeholder management and prioritization, balancing quick wins with long-term strategic impact.
• Enable the team to work effectively with cross-functional partners, translating business needs into clear analytical roadmaps.

2. Business/Product Analytics

• Build a deep understanding of the stakeholder functions - business/sales/marketing/product, and the levers to identify high-impact opportunities.
• Define key metrics, ensure accurate tracking & instrumentation, and work with engineering teams to improve data quality.
• Conduct exploratory analyses and deep dives to uncover actionable insights that drive revenue, user growth, and engagement.
• Work closely with sales and marketing teams to optimize campaign performance, measure ROI, and improve customer acquisition and retention.

3. Experimentation & Data Strategy

• Design and analyze A/B tests to measure the impact of new product features, campaigns, and strategic initiatives.
• Ensure statistical rigor in analyses, experiment design, and hypothesis testing.
• Drive self-serve analytics using tools like Tableau to empower stakeholder teams 
• Collaborate with data engineering teams to improve data pipeline efficiency, scalability, and governance.
• Drive central analytics initiatives to improve the quality, efficiency, and scalability of analytics across teams.

What We’re Looking For

Mandatory Qualifications

• 7+ years of experience in Analytics & Data Science, with 4+ years in a Tech ecosystem (fintech, SaaS, e-commerce, or consumer tech preferred).
• People & senior stakeholder management experience – mentoring teams, and collaborating with senior stakeholders.
• Expertise in SQL and Python for large-scale data analysis.
• Experience working with structured, semi-structured, and unstructured data
• Hands-on experience in A/B testing, hypothesis testing, and statistical analysis.
• Experience in Sales & Marketing Analytics (e.g., campaign attribution, CAC/LTV modeling, customer segmentation) 
• Proven ability to translate complex analytical findings into clear business recommendations and communicate them effectively.
• Exposure to development of machine learning models for use cases like customer segmentation, churn prediction, or personalization.

Preferred Qualifications

• Working knowledge of Product Analytics (e.g., funnel analysis, feature experimentation).
• Familiarity with web analytics, performance & growth marketing