About Zscaler

Serving thousands of enterprise customers around the world including 40% 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 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. 

You will be reporting to Associate Director FP&A. Zscaler is following hybrid work policy.

Job Description

You will develop strategic partnerships across the Finance and IT organisation. You are required to be comfortable with database management and data engineering tasks while emphasising data quality and governance procedures. You will be focused on optimising the data supply chain from enterprise applications such as Salesforce, NetSuite, Xactly, Adaptive Insights, Success Factors and Clari to our data warehouse Snowflake. You will use Python to help automate daily manual tasks and simplify certain workflows to lead efficiency.

What You'll Do

  • Utilise your understanding of economic concepts, such as P&L and balance sheet composition, unit economics, retention and activation, marginal returns, and pricing economics, to guide our financial strategy.
  • Data science modelling: Design and deploy analytic solutions using (predictive modelling, machine learning, clustering/ linear regression techniques) to solve real-time business problems.
  • Data insights and analysis: Summarise important data-driven insights to members of the senior leadership team to accomplish better outcomes, an increase in revenue or decrease in cost.
  • Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.
  • Demonstrate excellent project management and partner management skills and collaborate at all levels of the organisation.
  • Be a ambassador for data-driven decision-making within the company, ensuring that insights are shared and acted upon across departments.
  • Diagnosis, data cleaning, integration and transformation, analysis, visualisation, and presentation.
  • Lead the finance analytics function, driving strategic financial insights, around unit economics.
  • Work with the Finance department, while also collaborating with product, marketing, and operations teams on several projects.
  • Recognise and adopt best practices in reporting and analysis: data integrity, design, validation, and documentation and suggest ways to improve processes and incorporate best practices.
  • Be a initiative taker in improving the quality and efficiency of internal reports, including enhancing financial models and streamlining analysis and processes.
  • Multiple ad-hoc analysis and process improvement projects to lead efficiency and scale.
  • Team Management



  • 8+ years of experience in Strategy and Analytics. And A degree in economics, mathematics, statistics, Computer Science, Data Science or a similar discipline.
  • 6+ years of experience in Data Visualisation, Storytelling, Reporting and Analytics.
  • 4+ Years experience in handling the team.
  • Have an eye for how the data are structured and consumed before brining into Tableau or any other BI tool.
  • Experience with statistical concepts, such as confidence intervals, cohort analysis, forecasting techniques, machine learning, and several forms of sample selections and biases.
  • Data analysis: Experience understanding business questions and providing insights supprted by data; excellent analytical skills.
  • Proficient experience in building forecasting models/ predictive models from scratch using techniques i.e. Logistic/ linear regression, bagging/ boosting techniques.
  • Understand business to influence senior leaders' Quantitative analysis to support important decisions.
  • Present financial data using the right mode of communication. Expert at influencing partners
  • Work with data source providers and technology teams, ensuring that important financial/operations decision data is accurate, automated and delivered.


  • Health Insurance
  • Term Insurance


#LI-GI #LI-Hybrid

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 proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. All qualified applicants will receive consideration 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 characteristics 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. For additional information about the federal requirements, click here.

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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