Title: Senior Analyst, Analytics & Insights Location: Mohali, IND Job Description: About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a Senior Analyst - Analytics and Insights to join our FP&A department. This is a hybrid role based in our Mohali Office, reporting to the Manager - Analytics and Insights, FP&A. As a Senior Analyst, you will sit at the intersection of analytics delivery and analytics engineering—supporting and improving existing BI/data assets while also developing new, scalable datasets and metrics. You will use strong SQL and Python to deliver reliable insights, improve data quality, and help evolve our semantic layer to enable consistent self-serve reporting. What you’ll do (Role Expectations) - Provide day-to-day analytics support for existing dashboards, data models, and reporting—triaging issues, and ensuring stakeholder trust in outputs - Build and enhance curated datasets (tables/views/marts) using strong SQL and Python to enable repeatable analysis and scalable reporting - Contribute to the semantic layer—maintain metric definitions, improve governance/documentation, and ensure consistent KPI logic across BI assets - Partner with FP&A/business stakeholders to translate questions into analytical requirements, deliver insights, and recommend actions based on data - Improve data infrastructure reliability—support pipeline monitoring, data quality checks, and performance tuning to reduce recurring reporting/manual effort 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 what’s needed, navigating seamlessly between high-level strategy and hands-on execution. - You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. - You are a pragmatic builder. You are obsessed with creating, iterating, and shipping. You aren't afraid to roll up your sleeves and build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly. - 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 We’re Looking for (Minimum Qualifications) - 3–5 years of experience in Analytics, BI, Analytics Engineering, or Finance/Data Analytics roles - Strong SQL skills (joins, window functions, CTEs, performance-minded query writing) and experience working with data warehouses - Proficiency in Python for analytics/automation (data wrangling, scripting, APIs, building repeatable workflows) - Understanding of data infrastructure concepts (ELT/ETL, orchestration basics, data quality/testing, dimensional modeling fundamentals) - Familiarity with semantic layer concepts and metric governance (consistent definitions, reusable measures, documentation) What Will Make You Stand Out (Preferred Qualifications) - Hands-on experience with a semantic layer tool/framework (e.g., dbt Semantic Layer/MetricFlow, LookML, Cube, AtScale) and metric governance practices - Experience maintaining or developing BI assets (Tableau/Power BI/Looker) including performance optimization and stakeholder enablement - Experience with modern analytics engineering practices (dbt, Git, CI basics, testing, modular modeling) #Hybrid #LI-HG1 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: - Various health plans - Time off plans for vacation and sick time - Parental leave options - Retirement options - Education reimbursement - In-office perks, and more! Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

• Architect performant and reusable data models to scale Analytics across ClickUp. • Design and implement scalable SQL transformations, frameworks, and governance practices to support data pipelines and models across the organization. • Apply an ownership mentality to the datasets you're working with, deeply understanding the data and how it'll be used. • Partner effectively with stakeholders across various departments to understand how they are leveraging data and help them design and implement data solutions to enable their work.

• Take ownership of external client reporting pipelines. • Manage the layer of our data platform responsible for transforming raw data into reliable, structured, and performant assets for reporting, analysis, and AI initiatives. • Own client reporting, standardize data modeling practices, manage the orchestration of analytical workflows, and provide hands-on analytical support for high-stakes operational business functions, including reporting and performance management. • Scope and develop new client reports, while also maintaining and enhancing existing reporting pipelines. • Collaborate with external clients and the internal client success team to effectively manage and triage inbound requests. • Partner with Valon Technologies' data team to improve the underlying infrastructure for client reporting. • Design, build, and maintain the production-grade data models and analytical layers using existing stack of dbt Cloud and Airflow. • Partner with engineering and product teams to define and implement data contracts and observability frameworks to guarantee data quality and auditability for a regulated environment. • Write complex SQL queries, build dashboards, and conduct ad hoc analysis to empower operational leaders and provide deep root-cause insights into business performance. • Own and fulfill third-party audit, exam, and regulatory reporting requirements, managing timelines and delivering clear, defensible outputs to clients and regulators.

• Own the analytics foundation for advertiser-facing reporting • Drive shared metric consistency across the ad platform • Act as steward for cross-module metric consistency • Build and extend the Ads Metric Catalog into the ad platform • Partner closely with Campaign Reporting PM and Data Engineering • Represent reporting and metric standards on cross-team councils • Participate in cross-functional governance to ensure metric consistency