Senior Staff Analytics Specialist
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.
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
- 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.
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