Senior Analyst, Analytics & Insights at ZSCALER INC

Mohali, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Analytics, Finance Analytics, Data Modeling, DBT, Snowflake SQL, Python, AI, Machine Learning, Data Automation, ETL, ELT, Cloud Platforms, Scenario Modeling, Data Pipelines, Cross-Functional Collaboration, Analytics Solutions

Industry

Computer and Network Security

Description

About Zscaler Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our General and Administrative teams help to support and scale our great company. Whether striving to grow our workforce, nurture an amazing culture and work environment, support our financial and legal operations, or maintain our global infrastructure, the G&A team provides a foundation for growth. Put your passion, drive and expertise to work with the world's cloud security leader. We're looking for a Senior Analyst, Analytics & Insights to join our FP&A Analytics Team. In this role, you will drive actionable insights and build advanced analytical solutions for finance teams (FP&A), leveraging expertise in data modeling, BI, and AI/ML to make a significant impact. Reporting to the Manager, FP&A Analytics you'll be responsible for: Building data models and data pipelines in DBT using VS Code to support analytics solutions Improving existing data models/tables to extract, transform, and analyzing data from multiple sources, ensuring high performance and scalability Implementing AI-enabled insight tools and incorporating AI-based chatbots into FP&A and financial operations to streamline decision-making and boost efficiency Developing scenario modeling tools using machine learning techniques to perform simulations Collaborating with cross-functional stakeholders to implement data-driven solutions that address challenges and enhance business performance What We're Looking for (Minimum Qualifications) 4 to 7 years of experience in Business Analytics or a similar function, with a strong understanding of Finance Analytics Expertise in designing and maintaining data models, and building data pipelines in DBT ( or any other ETL/ELT application) Proficiency in Snowflake SQL and good working knowledge of Python Proven track record of successfully delivering analytics-driven solutions, including extracting, transforming, and analyzing data from multiple sources What Will Make You Stand Out (Preferred Qualifications) Experience deploying AI-powered chatbots or conversational assistants in a business or financial context Proficiency in Python, data automation, machine learning integration, and working with large-scale databases, ETL/ELT, and cloud platforms (GCP, Azure) Experience in Finance Analytics, preferably in a SaaS company #LI-HG1 #LI-Hybrid 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.

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Responsibilities

The Senior Analyst will drive actionable insights and build advanced analytical solutions for finance teams, leveraging expertise in data modeling, BI, and AI/ML. Responsibilities include building data models, improving existing data models, implementing AI-enabled tools, and collaborating with stakeholders.