Senior/Staff Data Analyst - Data Strategy(Product)

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. 

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, guide and expertise to work with the world's cloud security leader.

We're looking for an experienced Senior/Staff Data Analyst - Data Strategy(Product) to join our IT/Data Strategy team. Reporting to the Manager, Business Intelligence, and the work location is Mohali - Chandigarh you'll be responsible for:

1. Product Data Champion: Gain an understanding of our product offerings and their capabilities to analyze product data and inform decision-making.
2. Become the Subject Matter Expert (SME) for any product data (organizational data, master data, and transaction data).
3. Analyze and comprehend the product data architecture, focusing on its intricacies and the interactions between multiple inbound and outbound systems.
4. Understand the data challenges faced by different analytics teams and solving for their data needs and creating a single source of truth.
5. Agree on single data definitions that are used across business teams within Zscaler, ensuring uniformity and accuracy in data interpretation.

• Collaborate:

1. Data requirement gathering to understand Product Analytics team's data needs and ensure scalable data solutions are implemented.
2. Work with product engineering teams, product managers, product pricing teams and data engineering teams to guide desired outcomes and ensure understanding on data projects
3. As part of the Enterprise Data team, establish a feedback loop between Data Engineering, Product Engineering Team and Product Pricing Teams.
4. You will play a crucial role within the product ecosystem, comprehending the data challenges encountered by Product Analytics Teams and infrastructure challenges faced by Product Engineering Teams. They develop and implement strategies to mitigate risks and identify solutions for progression.

• Data Quality Assurance:

1. Implement data quality assurance processes and monitor data for accuracy, completeness, and consistency.
2. Identify gaps in data pipelines and address and resolve them, ensuring seamless data flow and integrity.
3. Analyze the number of data defects. Collaborate with the data engineering team to establish a solid foundation for trusted data.
4. Suggest and implement Data Quality checks for improving the data quality and trust among multiple partners.

• Roadmaps:

1. Develop comprehensive roadmaps and vision for product data, aligning with our strategy and goals.
2. Lead governance calls with Product teams to understand, implementation of the roadmaps and lift any roadblocks.

• Assist product teams in adopting the latest technologies, providing support for their implementation.
• Maintain comprehensive documentation of data processes, methodologies, and findings to ensure transparency and knowledge sharing.

(8+ years of experience as Data Analyst or related role in a SaaS organization.

• Experience with Product Related Data and Goals(KPIs), working with Product Engineering and Product Managers.
• Advanced Knowledge in SQL and ability to perform complex modeling with large volumes of data.
• Have experience leading a team of analysts in the past roles. Good level of experience with any industry standard BI/Data Visualization tools like Tableau, QlikView, CRM Analytics or similar BI tools.
• Familiarity with data modeling, ETL and data warehouse concepts.
• Lead and work on different projects simultaneously including prioritization discussions with business and regular communication on project progress.
• You will work in a in an organization with different priorities with market trends and organizational needs.
• Experience with Python, Dbt or similar but not mandatory
• Bachelor's degree in a quantitative major (Statistics, Mathematics, Engineering or related field)

#LI-Hybrid

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
• A flexible time off policy
• Parental leave options
• Retirement options
• Education reimbursement
• In-office perks, and more!

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.

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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.