Staff Data Analyst – Data Strategy(Product)

About Zscaler

Zscaler (NASDAQ: ZS) accelerates digital transformation so that customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange is the company’s cloud-native platform that protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. 

With more than 10 years of experience developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers around the world, including 450 of the Forbes Global 2000 organizations. In addition to protecting customers from damaging threats, such as ransomware and data exfiltration, it helps them slash costs, reduce complexity, and improve the user experience by eliminating stacks of latency-creating gateway appliances. 

Zscaler 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. Zscaler’s purpose-built security platform puts a company’s defenses and controls where the connections occur—the internet—so that every connection is fast and secure, no matter how or where users connect or where their applications and workloads reside.

About the team: As part of the IT group, we are responsible for executing our enterprise data strategy which emphasizes data management maturity, fosters a robust data culture, and architects a best-in-class enterprise data platform.  We have the ultimate goal to provide trusted data and insights at scale which enable corporate and functional data-driven decision making. We are fueled by organic innovation, internal collaboration and adoption of data visualization, data management, reporting automation, AI/ML and integration tools. We leverage best practices and alignment through our Enterprise Data Community to deliver speed to insight, scale, control and enablement. The team is distributed across the United States and India and is composed of data engineers, data analysts, visualization developers, and infrastructure specialists. 

What You’ll Do

Product Data Champion: 

1. Gain a deep understanding of the company’s product offerings and their capabilities to effectively 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 proactively solving for their data needs and creating a single source of truth.
5. Align on single data definitions that are consistently used across business teams within Zscaler, ensuring uniformity and accuracy in data interpretation.

Collaborate Cross-Functionally:

1. Data requirement gathering to understand Product Analytics team’s data needs and esure robust and scalable data solutions are implemented. 
2. Work closely with product engineering teams, product managers, product pricing teams and data engineering teams to drive desired outcomes and ensure alignment on data initiatives
3. As part of the Enterprise Data team, establish a feedback loop between Data Engineering, Product Engineering Team and Product Pricing Teams.
4. This individual plays 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 optimal solutions for progression.

Data Quality Assurance:

1. Implement robust data quality assurance processes and regularly monitor data for accuracy, completeness, and consistency.
2. Identify gaps in data pipelines and work proactively to address and resolve them, ensuring seamless data flow and integrity.
3. Identify, analyze, and reduce 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 various stakeholders. 

Roadmaps:

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

Assist product teams in adopting the latest technologies, providing guidance and support for their implementation.

• Maintain comprehensive documentation of data processes, methodologies, and findings to ensure transparency and knowledge sharing.
• Leading and mentoring junior analysts and other team members to promote data literacy and best practices across the organization.

Qualifications

• 8+ years of experience as Data Analyst or related role in a SaaS organization.
• Strong experience with Product Related Data and 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 of leading or mentoring 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 is a plus.
• Strong familiarity with data modeling, ETL and data warehouse concepts. 
• Strong capacity to lead and execute on multiple projects simultaneously including prioritization discussions with business and regular communication on project progress.
• Ability to work in a fast paced organization with changing priorities with market trends and organizational needs.
• Excellent communication skills and ability to effectively articulate thoughts and ideas.
• Experience with Python,  Dbt or similar a plus but not mandatory
• Bachelor’s or Master’s degree in a quantitative major (Statistics, Mathematics, Engineering or related field)

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.