About the role
Design and own enterprise-grade semantic models supporting Partner and Marketing analytics. Define and implement data architecture standards, modeling patterns, and OSOT-aligned data structures. Lead design of integrated data models combining Marketing OSOST and Partner OSOT datasets for unified reporting. Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience. 5+ years of experience in Business Intelligence, Data Engineering, or Analytics. Semantic modeling (Power BI / Tabular / DAX) experience. Data architecture and dimensional modeling (star schema, OSOT principles) experience. Experience building end-to-end data pipelines and analytics solutions at scale. Understanding of data governance, security, and compliance frameworks. Experience in Partner ecosystem, Sales/Marketing analytics, or MarTech data integration. Familiarity with AI-driven BI scenarios (Copilot, predictive analytics, data agents). Experience integrating multiple enterprise datasets into unified reporting models. Experience in matrixed, cross-functional environments and influence stakeholders. Storytelling skills with ability to translate data into business impact. Business Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year. Certain roles may be eligible for
benefits and other
compensation. Enable AI-driven insights, Copilot scenarios, and intelligent analytics experiences leveraging Fabric and Power BI. Build AI-ready semantic layers that support natural language querying, automation, and predictive insights. Develop holistic analytics solutions that track partner lifecycle across marketing, pipeline, revenue, and engagement systems. Ensure alignment to business outcomes such as partner growth, consumption, and engagement metrics. Implement row-level security (RLS), governance, and compliance standards across data assets. Deliver a unified, AI-powered analytics platform for Partner + Marketing insights Enable single source of truth (OSOT) across partner journeys
