Senior Staff Analytics Specialist - Ad Network
Senior Staff Analytics Specialist - Ad Network
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Job Description
Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a newage 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 dataled decisionmaking across the organization. We work on highimpact 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 highperforming 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 highimpact 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 problemsolving 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 selfserve analytics solutions using Tableau SQL and Python empowering stakeholders with realtime 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 Were Looking For
Mandatory Qualifications
- 8 years of experience in Analytics & Data Science with 4 years in Tech (AdTech MarTech Consumer Tech FinTech SaaS or Ecommerce 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 largescale 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 datadriven 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.
Required Experience:
Staff IC
Employment Type
Full-Time
