Senior Business Data Analyst- Customer Services/Support and Product

Location Los Angeles, California ,United StatesJob DescriptionPosition: Senior Business Data AnalystLocation: Remote within United StatesZscaler is building a data platform to serve as the single source of truth for all data and reporting needs of its cross-functional business teams. The ideal candidate for this role will be someone with a passion for working with PRODUCT MANAGEMENT, PRICING AND CUSTOMER SERVICES/SUPPORT TEAMS and data in a SaaS environment, deploying and improving Product, Pricing, and Services/Support reporting and processes, and working cross-functionally with business and technical teams to understand and execute on data and insights needs for these functions.RESPONSIBILITIES/WHAT YOULL DO:Business Process Document(s) for a key product, pricing and services processes, systems, integrations, data flows & models, business rules & transformationsDocumenting ongoing functional and technical data requirements for these business teams and developing datasets to meet those requirementsDevelop and maintain data dictionary and metric definitions for all product, pricing, and services datasets, metrics, and KPIs and review them regularly for changes and updatesDesign Tableau dashboards for insights and reporting when necessaryConduct data enablement sessions for these business teams by communicating new datasets, metrics, KPIs, and processesWHO YOU ARE:A passion for building data platform and insights solutions for services and product teams in SaaS organizationsPassionate about and focused on customer outcomes with the ability to translate business needs into functional and technical data requirements for the data engineering teamProficient in leveraging SaaS Product, Pricing, and Services data to develop actionable insights and story-telling to drive business impactDrives data literacy and enablement within the organization by building and utilizing data and analytics tools to enable improved understanding of data assets impacting business decisions