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Zscaler is seeking a Senior BizOps Analyst for Product Operations to join a hybrid team reporting to the Director of Product Revenue. This is an individual contributor role combining business acumen with technical expertise in SQL, Python, data modeling, dashboards, and AI-enabled workflows.
You will partner with Product leadership to translate ambiguous business questions into clear signals, scalable analytics, decision workflows, and practical tools that improve operational decision-making. Key responsibilities include:
• Partner with Product leadership to clarify high-priority business questions and define signals, dashboards, workflows, or AI agents needed to accelerate product and operational decision-making
• Own the Product Operations signals repository as the single source of truth for business logic, data inputs, definitions, owners, status, and documentation
• Build clean, reusable data models and advanced SQL transformations that power dashboards, custom applications, decision workflows, and AI agents
• Develop dashboards and Python-based custom data applications when standard BI tools are insufficient, ensuring solutions are adopted and actively used by teams
• Translate ambiguous Product Operations problems into buildable specifications, review AI agent outputs, apply ML/NLP techniques where useful, and present signal performance and recommendations clearly to stakeholders
You thrive in ambiguity and act with ownership mentality. You are a problem-solver who loves running toward challenges, a high-trust collaborator ambitious for team outcomes, and a learner with a growth mindset. You operate with integrity and embrace a challenge culture with ongoing feedback.
Zscaler (NASDAQ: ZS) is a cloud security leader protecting thousands of customers through its Zero Trust Exchange platform, distributed across 200+ global data centers. The company is building an AI-native enterprise where human potential is amplified by machine intelligence to solve enterprise security challenges.
REQUIREMENTS:
• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• 3–5 years of experience in data, analytics, business operations, product operations, or a related role
• Strong SQL skills, practical Python experience, and the ability to transform, structure, and validate complex datasets
• Strong data modeling skills with the ability to design clean, scalable, reusable datasets and metric/signal definitions
• Proven ability to translate ambiguous Product Operations problems into buildable signal specifications, dashboards, applications, or workflows, supported by strong documentation, communication, and independent execution skills
PREFERRED QUALIFICATIONS:
• Experience designing, evaluating, or integrating AI agents, LLMs, or automated decision workflows to streamline product operations and signal detection
• Experience working directly with Product teams
• Experience building internal tools or custom applications beyond standard BI dashboards
