About the role
Interpret complex business problems and
requirements, translating them into capability needs, then building/ enabling AI-ready semantic layers that support natural language querying, automation, and predictive insights to enable AI-driven insights, Copilot scenarios, and intelligent analytics experiences leveraging Fabric, Power BI, GHCP, Cowork, CLI and more to solve these business problems Enable AI-led predictive analytics capabilities and data insights for sellers, managers, and leadership to understand actionable insights and how to best use it to achieve measurable results. (What they need to know, Why they need to know it, and What they need to do about it) Integrate and work with BI COE team members and stakeholders to identify, understand, and prioritize business and information needs Utilize/deliver standardized tools and reporting which enable speed, efficiency, and scale in the business to accelerate the standardized business operations vs. isolated, disconnected, or duplicative solutions Locate and define new process improvement opportunities and solve for root cause business issues to locate and correct problems Drive adoption of AI-first principles across BI COE analytics and reporting solutions. Deliver a unified, AI-powered analytics platform for Security insights Enable single source of truth (OSOT) across data solutions 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. 8+ years of experience in Business Intelligence, Data Engineering, or Analytics Semantic modeling (Power BI / Tabular / DAX) Data architecture and dimensional modeling (star schema, OSOT principles) Power BI (dataset optimization, reporting, governance) Experience building analytics solutions at scale. Experience with data governance, security, and compliance framework. Experience with AI-driven BI scenarios (Copilot, predictive analytics, data agents). Experience integrating multiple enterprise datasets into unified reporting models. Experience operating in matrixed, cross-functional environments and influence stakeholders. Storytelling skills with experience to translating data into business impact.
