Senior Business Data Analyst

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. 

As part of the IT DATA group, we will build our enterprise data strategy which emphasizes data management, fosters a data culture, and architects an excellent enterprise data platform. We have the goal to provide trusted data and insights at scale which promote 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 use best practices and agreement 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.

We're looking for an experienced Senior Business Data Analyst to join our Data Strategy Team. This is a hybrid role based out in Bangalore/Mohali. Reporting to the Manager, Business Intelligence

You will be responsible for:

• As part of the Data Strategy Team, cross collaboration with different Business Teams like Finance, GTM, Product Pricing and Customer Success etc to understand our goals and help in generating applicable outcomes by allowing them with data and insights.
• Lead partner engagement, challenge and question assumptions, working collaboratively with Business Partners to refine strategies and future data roadmap.
• Involved in efforts to promote data models that support Finance, Marketing and Sales, Product & Pricing Related projects.
• Lead process & data discovery across the entire business applications landscape (Salesforce, NetSuite, Application logs, Forecasting/Planning tools etc.) to allow decision making through data. Exposure to skills like financial planning, accounting, billings/bookings reporting, and Order to Cash (O2C), Lead to Order(L2O) etc
• Deep dive into business problems and processes and Identify areas of opportunities to enhance existing data flows and processes.
• Work cross-functionally to ensure data accuracy, consistency, and relevance, contributing to the 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 quarterly/monthly reporting to support ongoing needs and to tell a 'story' focused on business insights & data

• 5+ years of experience as Data Analyst or related role in a SaaS organization.
• Experience with industry standard CRM/ERP platforms like Salesforce, NetSuite including marketing automation platforms like Marketo etc.
• Experience in Agile SDLC model before experience building Sprint Plans.
• Experience in SQL and ability to perform complex modeling with large volumes of data.

• Are aware of Lead to Order (L2O), Order to Cash (O2C) process in sales, financial planning, accounting, billings/bookings reporting in Finance.
• Capacity to lead and work on including prioritization discussions with business and regular communication on project progress.
• Experience with Advanced SQL, Python, Dbt or similar.
• Good level of experience with any industry standard BI/Data Visualization tools like Tableau, QlikView, CRM Analytics or similar BI tool
• Bachelor's degree in a quantitative major (Statistics, Mathematics, Engineering or related field)

At Zscaler, we believe that diversity drives innovation, productivity, and success. We are looking for individuals from all backgrounds and identities to join our team and contribute to our mission to make doing business seamless and secure. We are guided by these principles as we create a representative and impactful team, and a culture where everyone belongs. For more information on our commitments to DEIB, visit the Corporate Responsibility page of our website. Our Benefits programme 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:

• Multiple health plans
• A flexible time off policy
• Hybrid Working Model
• Parental leave options
• Retirement options
• Education reimbursement
• In-office perks, and more!

#LI-Hybrid

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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.

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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.