Mia Murphy

Finance-to-Data bridge professional with expertise in FP&A, P&L management, and data analytics. Specializes in translating real financial challenges into scalable data solutions, building database-driven pipelines to replace manual Excel processes, and implementing agentic AI and Azure-based automations across FP&A workflows.

• Consolidated and automated financial close processes, cutting manual effort by 50%
• Built real-time Power BI dashboards for daily, weekly, and monthly KPI tracking
• Led P&L management and forecasting for $20M+ monthly revenue streams
• Designed NPV/IRR-based CAPEX prioritization, optimizing $30M in spend
• Trained and mentored 4 analysts on FP&A automation and dashboard best practices

• Partner with founders, engineering, and finance to shape the cloud FinOps strategy, aligning AI infrastructure decisions with budget, margin, and growth targets
• Design cost-visibility dashboards and unit-economics models (by workload, feature, and customer segment) to translate Azure and GPU spend into pricing, ROI, and roadmap decisions
• Establish tagging standards, budget guardrails, and right-sizing recommendations that improve cloud spend accountability while preserving model performance and scalability

• Lead the design, development, and deployment of analytics solutions supporting P&L, CAPEX, operations, and supply chain
• Partner with business leaders to identify high-value analytics use cases, prioritize initiatives, and tie insights directly to margin, cost, and growth decisions
• Own the dashboard and reporting ecosystem (SAP, IBM TM1, Power BI, Azure), ensuring data integrity, performance, and consistent reporting standards
• Drive adoption of self-service analytics by converting manual Excel workflows into automated, governed solutions and training stakeholders across finance and operations
• Champion a culture of continuous improvement and innovation in analytics, feeding process and data enhancements into forecasting, pricing, and investment decisions
• Supported M&A integration by mapping acquired entity financials into the corporate data warehouse and aligning reporting hierarchies with parent company standards
• Led database transformation initiatives to consolidate legacy systems from acquired businesses into unified SAP and TM1 environments, enabling seamless cross-entity reporting

• Partnered with global brands including Amazon, Nike, Walmart, and Target to analyze purchasing practices and improve supplier relationships
• Produced shareholder and client reports from 500K+ supplier records, delivering $2M+ in annualized savings
• Conducted consumer and retail trend analysis to link purchasing practices with market behavior and brand performance, supporting strategy discussions with executives and investors