AI Operation Reporting Analytic Analyst Fully positions focus on delivering results in their domain. This page aggregates open AI Operation Reporting Analytic Analyst Fully roles and what employers typically expect.
**Key Responsibilities** **Operations Reporting & Analytics** - Lead the maintenance, governance, and continuous improvement of AI Operations dashboards, scorecards, KPIs, and reporting assets. - Ensure operational, consumption, billing, and performance reporting remains accurate, reliable, and actionable. - Track adoption, usage, consumption, cost, billing, capacity, and operational performance trends across AI platforms and services. - Deliver recurring executive, operational, financial, and consumption reporting packages. - Analyze operational and financial data to identify trends, risks, opportunities, and areas requiring attention. - Investigate reporting discrepancies, consumption anomalies, and unexpected usage patterns to determine root causes and recommend corrective actions. **Data Analysis & Insights** - Perform deep-dive analysis of AI operational, financial, adoption, and consumption data. - Correlate data from multiple sources to provide meaningful insights and recommendations. - Develop executive-ready summaries, trend analysis, and operational performance narratives. - Translate complex datasets into clear and actionable business insights. **Consumption, Billing & Financial Transparency** - Oversee consumption monitoring, utilization reporting, billing visibility, and cost transparency processes. - Support forecasting, budgeting, chargeback, and show back reporting activities. - Identify opportunities to improve operational efficiency and optimize resource utilization. - Partner with Finance to support AI consumption reporting and cost management activities. **Data Governance & Support Readiness** - Maintain reporting standards, data quality controls, metric definitions, support documentation, and reporting governance processes. - Ensure consistency and integrity of operational, financial, and consumption reporting. - Support operational audits, compliance reporting, and governance reviews. - Partner with Operations, Support, Engineering, and Finance teams to resolve reporting questions, data issues, and operational reporting needs. **Typical Deliverables** - Executive and operational dashboards - Consumption, adoption, billing, and metering reports - Cost, showback, and chargeback reporting - Operational performance scorecards and trend analysis - Forecasting and capacity utilization reports - Reporting documentation, data dictionaries, metric definitions, and support runbooks - Executive summaries and operational insights presentations **Success Measures** - Accurate, timely, and reliable operational reporting. - Clear visibility into platform consumption, costs, adoption, utilization, and operational performance. - Improved stakeholder confidence in reporting and analytics outputs. - Increased identification of cost optimization and operational improvement opportunities. - Reduced manual reporting effort through automation and process improvement. - High levels of data quality, consistency, and reporting governance. **Required Qualifications** **Technical Skills** - Advanced proficiency in: - Power BI - Microsoft Fabric - Microsoft Excel (advanced formulas, Power Query, Pivot Tables, data analysis) - SQL - Experience working with large operational, financial, and consumption datasets. - Strong understanding of reporting governance, data quality management, and operational analytics. - Experience supporting cloud-based, consumption-driven technology services. **Professional Experience** - 7+ years of experience in Technology Operations, Service Management, Business Intelligence, Reporting, Analytics, FinOps, or similar operational functions. - Demonstrated ability to independently analyze complex datasets, identify trends and anomalies, and develop actionable recommendations. - Experience producing executive-level operational and financial reporting. - Strong stakeholder management, communication, and presentation skills. **Core Competencies** - Analytical problem solving - Data-driven decision making - Oper…