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AI Operations Reporting & Analytics Analyst at Zealogics.com. Location Information: USA. 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. Operational governance. Financial and consumption analysis. Reporting and dashboard stewardship. Attention to detail. Continuous improvement mindset. Executive communication and storytelling with data