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Zscaler is seeking a Senior Analyst, Pricing Strategy & Operations to join the Product Management department, reporting to the Manager of Pricing Strategy & Operations. This is a hybrid role based in Mohali, India.
You will drive data-backed pricing and monetization decisions for Zscaler's SaaS business. The role focuses on analyzing large and complex datasets to identify trends and opportunities, translating insights into clear business recommendations that support revenue growth, discounting strategy, packaging decisions, deal strategy, and overall pricing effectiveness.
Key Responsibilities:
- Own and maintain data tables, structures, and inputs required for pricing, packaging, discounting, cost, and product usage analysis, ensuring accuracy, consistency, and reliability of insights
- Analyze large datasets across customers, products, usage, revenue, discounts, costs, and sales performance to identify trends, opportunities, risks, and recommendations supporting better pricing and packaging decisions
- Break down complex data and analysis into simple, clear, and actionable insights for business stakeholders and executives
- Create recurring and ad hoc reports, dashboards, and presentations communicating pricing performance, product adoption, discounting trends, and monetization opportunities
- Partner with Product, Engineering, IT, Deal Desk, and Finance to ensure pricing guidance, cost inputs, product telemetry, and related data are properly captured, maintained, and reflected in business systems
About Zscaler:
Zscaler (NASDAQ: ZS) is a cloud security leader providing the Zero Trust Exchange platform, which protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications. The platform is distributed across 200+ public data centers globally and is the world's largest in-line cloud security platform. The company is building an AI-native enterprise where human potential is amplified by machine intelligence.
Requirements:
- 3–6 years of relevant experience in pricing analytics, business analytics, revenue analytics, strategy analytics, finance analytics, or sales/GTM analytics
- Bachelor's or Master's degree in Business, Engineering, Statistics, Computer Science, or a related analytical field
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
- Strong hands-on experience analyzing large datasets and generating business insights using SQL, spreadsheets, reporting tools, and AI tools
- Proven ability to convert complex analysis into clear business recommendations and executive-ready presentations
Preferred Qualifications:
- Practical experience leveraging AI predictive models or machine learning analytics workflows to optimize SaaS pricing models, price elasticity, or discounting strategy
- Deep functional experience in pricing, packaging, monetization, deal desk analytics, revenue strategy, or GTM analytics
- Prior experience in a global SaaS/enterprise software environment leveraging systems like Salesforce, CPQ, Snowflake, Paradime, and modern BI/reporting platforms
