Deputy Manager, Analytics & Insights

About the role

This position is embedded within the FP&A department where you will own the design and execution of next generation financial intelligence systems. You will serve as a technical architect who connects strategic financial objectives with robust production-grade machine learning infrastructures. The role requires you to translate high-level business goals into automated data products that operate autonomously within the enterprise. You will build the modular financial skills that power anomaly detection and automated variance analysis across global business units. In this capacity, you will manage the centralized feature store within Snowflake to monitor churn propensity, renewal health, and critical revenue signals. You will also develop a strict technical governance layer to enforce RBAC and ensure auditability for sensitive financial and customer information. The successful candidate will utilize DBT and executive visualization tools via Streamlit to construct reliable data models and dashboards. Finally, you will oversee the deployment lifecycle for financial microservices using Docker and Snowflake Container Services across AWS and Azure environments.

Key facts

What you'll do

• Create modular financial skills such as anomaly detection and automated variance engines to standardize reporting accuracy.
• Manage centralized feature stores in Snowflake to track churn propensity, renewal health, and revenue signals for predictive modeling.
• Develop a technical governance layer to manage RBAC and auditability for sensitive financial data in compliance with regulations.
• Build production-grade data models using DBT and executive tools via Streamlit to deliver actionable insights to leadership.
• Handle the deployment lifecycle for financial microservices using Docker and Snowflake Container Services, ensuring compatibility with AWS or Azure.
• Architect data pipelines that integrate AI tools into existing financial workflows to enhance decision speed and reliability.
• Implement monitoring frameworks for data quality and model performance to maintain integrity in financial reporting.
• Collaborate with cross-functional stakeholders to gather requirements and align analytics roadmaps with business strategy.
• Optimize query performance and data storage strategies within Snowflake to reduce costs and improve user experience.
• Document technical processes and architectural decisions to ensure continuity and knowledge transfer within the team.
• Establish testing standards for data pipelines to validate accuracy and prevent regressions in production environments.
• Partner with data science teams to operationalize machine learning models into scalable financial applications.
• Lead initiatives to automate manual reporting tasks, freeing finance teams to focus on strategic analysis.
• Contribute to the design of the Zero Trust Exchange platform by providing secure and reliable financial data services.

Requirements

• 5 to 8 years of experience in data engineering, machine learning engineering, or technical finance analytics with demonstrated impact.
• Expert proficiency in Python and SQL for automation, pipeline development, and deployment of complex data workflows.
• Proven track record of deploying containerized services in cloud environments such as AWS, Azure, or Snowflake SPCS.
• Experience with DBT standards, testing methodologies, and CI/CD pipelines to ensure code reliability and version control.
• Background in managing data governance frameworks specifically for financial data or customer information systems.
• Demonstrated history of integrating AI tools and technologies into professional enterprise workflows effectively.
• Strong understanding of financial concepts and reporting cycles to ensure analytics align with business objectives.
• Ability to work independently and collaboratively in a hybrid work environment with minimal supervision.
• Excellent communication skills to articulate technical concepts to non-technical stakeholders within the organization.
• Commitment to adhering to data privacy and security policies to protect sensitive corporate and customer data.
• Willingness to participate in on-call rotations or support duties as required to maintain system uptime and performance.
• Adaptability to evolving priorities and the capability to manage multiple competing deadlines in a fast-paced setting.

Nice to have

• Hands-on work with Snowflake Container Services for building and deploying data-intensive applications.
• Proficiency in building interactive data applications using Streamlit, FastAPI, or ReactJS for user-facing analytics.
• Advanced knowledge of cloud infrastructure components including API gateways, monitoring tools, and CI/CD pipelines for ML models.
• Experience with real-time streaming data platforms and optimization of data latency in financial contexts.
• Familiarity with regulatory compliance frameworks relevant to financial services and data protection laws.

Practical notes

• The engagement for this role is Hybrid.
• Benefits include health plans, vacation and sick time, parental leave, retirement options, and education reimbursement.
• Zscaler operates under a hybrid working model.
• The company provides reasonable accommodations for candidates who are differently abled, neurodivergent, or require pregnancy-related support.
• Candidates must be available to work from the designated office location in Mohali, India.
• This role requires collaboration across global teams and occasional overlap with business hours in other regions.
• Travel is not required for this position under the current sourcing information.
• Visa sponsorship details are not provided in the current source material and should be confirmed during hiring stages.
• Applicants are encouraged to highlight experience with financial services or technology sectors during the application process.
• Only candidates who meet the minimum years of experience and technical proficiencies will be considered for advanced review.