Zscaler - Staff Data Analyst - Semantics/LLM

Description:

We are looking for a Staff Analyst AI and Data Strategy to join our IT/Data Strategy department. This is a hybrid role based in Mohali/Bangalore, reporting to the Director, Business Intelligence.

You will be primarily focused on building an AI-ready data foundation and delivering high-impact analytics and AI solutions across teams like Engineering, R&D, and Security. By establishing trusted, governed data through a robust semantic layer and single-source-of-truth models, you will drive consistent insights, self-service capabilities, and confident AI adoption across the enterprise.

What youll do (Role Expectations):

- Operationalize AI in analytics by leveraging LLMs and agentic AI for ad-hoc insights, and establishing governance guardrails

- Help build and maintain data models and a semantic layer, collaborating with data engineering to develop DBT models and design semantic views for BI scalability

- Scale enterprise BI and governance by deploying governed content, implementing role-based access controls, and driving adoption through enablement

- Deliver executive-ready analysis by producing high-impact narratives using GSuite and Snowflake, translating business questions into data-driven insights

- Lead projects that improve visibility into business metrics by driving cross-functional alignment, defining logic, and managing the full project lifecycle from requirements to adoption

Who You Are (Success Profile):

- You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to whats needed, navigating seamlessly between high-level strategy and hands-on execution.

- You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

- You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.

- You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes.

- You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.

What Were Looking for (Minimum Qualifications):

- 8+ years in analytics, data strategy, or BI, with a proven impact on executive decision-making

- Expert in SQL and data modeling in Snowflake; strong experience building production DBT pipelines (sources, staging, marts, tests)

- Proven track record delivering complex analyses using GSuite and AI tools, comfortable with LLM-assisted workflows

- Experience defining and enforcing metric standards, semantic modeling, and establishing a single source of truth; deep understanding of lineage, metadata, RBAC, and KPI ownership

- Hands-on with BI tooling for building dashboards and governed data sources; strong project management skills for scoping, agile delivery, and stakeholder alignment

What Will Make You Stand Out (Preferred Qualifications):

- Expertise in AI and agentic analytics, including text-to-SQL, conversational BI, and retrieval-augmented generation, with a focus on evaluation for accuracy

- Proficiency in Python for analytics applications (e.g., Streamlit) and ML-assisted workflows, alongside familiarity with APIs and write-back patterns

- Experience in data governance aspects such as building metric catalogs, defining semantic views, publishing certified datasets, and maintaining production standards for DBT models