Deputy Manager, Analytics & Insights

Confirmed live in the last 24 hours

Zscaler

Mohali, IND

Hybrid

Posted March 25, 2026

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 Deputy Manager - Analytics and Insights to join our FP&A Analytics team. This is a hybrid role based in our Mohali Office, reporting to the Manager - Analytics and Insights, FP&A.

As Deputy Manager, you will serve as the architect and technical strategist for Finance’s modern data ecosystem—defining the Source of Truth for core SaaS metrics and building scalable, trusted data products. You will lead the professionalization of the Finance data stack in Snowflake and dbt, enabling automated reporting, faster forecasting, and high-impact analytics. You will also prototype and operationalize GenAI use cases to reduce manual effort and improve decision-making.

What you’ll do (Role Expectations)

Define and own the governed, auditable data models for core SaaS metrics (ARR, NRR, and churn), ensuring all complex business logic is accurately translated into the data architecture
Utilize expert-level SQL and Python to design and build analytical datasets within Snowflake that power critical FP&A reporting, forecasting, and executive insights
Manage the Finance DBT environment by overseeing project structure, standards, testing strategies, and performance optimization, while migrating legacy logic into modern, modular facts and dimensions
Lead efforts to identify operational bottlenecks and develop robust SQL and Python frameworks designed to eliminate manual work and streamline financial data workflows
Spearhead the prototyping of RAG and LangChain-based solutions to provide automated business commentary and enhance self-serve insights through cutting-edge AI

Who You Are (Success Profile)

You act like an owner whose passion for the mission fuels a bias for action and an operation of high integrity. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
You are a high-trust collaborator who is ambitious for the team, embracing a challenging culture by giving and receiving feedback with clarity and respect.
You are a pragmatic builder obsessed with creating, iterating, and shipping, balancing technical excellence with the need to deliver value quickly.
You are data-driven, using analytics to find the truth and value evidence over assumptions to drive better outcomes.
You think at scale, connecting your work to the global company mission and building solutions that are built to last in a high-growth environment.

What We’re Looking for (Minimum Qualifications)

5–7+ years in Finance Analytics, Analytics Engineering, or Data Engineering with strong exposure to finance systems and metrics
Expert SQL with deep Snowflake experience including data modeling, optimization, and warehousing best practices at scale
Str

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