Data Analyst

San Jose, CA, United States

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.

Position: Data Analyst

Location: Remote within United States

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.

Responsibilities/What You’ll Do

As part of the Data Strategy Team, collaborate closely with multiple business teams (Sales, Marketing, HR, others) to understand business objectives and help in generating actionable outcomes by enabling them with data and insights.

Conduct stakeholder engagement, challenge and question assumptions, working collaboratively with sales leadership to refine strategies and future data roadmap.

Utilize his/her deep understanding of business KPIs to track and evaluate performance metrics, ensuring data-driven decision-making.

Own the design, development, and maintenance of ongoing metrics, analyses etc. to drive key decisions.

Involved in efforts to develop, maintain, and enhance data models that support data insights initiatives.

Lead process & data discovery across the entire business applications landscape (Salesforce, NetSuite, Application logs, Forecasting/Planning tools etc.) to enable decision making through data. Deep understanding of the Salesforce data model covering objects like Opportunity, Account, Campaign, Lead etc is required

Identify areas of opportunities to enhance existing data flows and processes via SQL tuning and automation possibilities.

Work cross-functionally to ensure data accuracy, consistency, and relevance, contributing to the overall success of sales and marketing strategies.

Work with IT business engagement & enterprise data platform teams to identify source data requirements for ingestion into the data warehouse.

Design, develop and maintain key quarterly/monthly reporting to support ongoing needs and structured communication to tell a "story" focused on business insights & data

Qualifications/Your Background

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

Strong experience with industry standard CRM/ERP platforms like Salesforce, NetSuite including marketing automation platforms like Marketo etc.

Strong experience in Agile SDLC model before experience building Sprint Plans.

Strong Knowledge in SQL and ability to perform complex modeling with large volumes of data

Good level of experience with any industry standard BI/Data Visualization tools like Tableau, QlikView, CRM Analytics or similar BI tool is required

Strong familiarity with data modeling, ETL and data warehouse concepts.

Bachelor’s degree in a quantitative major (Statistics, Mathematics, Engineering or related field)

Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.

The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.

Base Pay Range

$125,000 — $135,000 USD

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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