Senior Operational Data Analyst

Job Title

Pay Range: $81.75hr - $86.75hr

• 5+ years of progressive experience in data analytics, business systems analysis, database development, BI/reporting, software development, or application/data support roles, preferably supporting complex operational systems.
• Strong analytical and SQL skills with the ability to work independently across complex operational data sets, validate results, identify anomalies, and translate findings into actionable recommendations.
• Senior-level experience developing reports, dashboards, data extracts, or analytics using SQL, Oracle tools, Power BI, or similar platforms.

• Lead complex electric distribution, Network Management System (NMS), Oracle Utilities Analytics (OUA), and Customer Success data requests by understanding source data relationships, building, and refining SQL queries, validating results, and translating findings into actionable recommendations.
• Own recurring outage data audits to identify gaps, trends, and opportunities to improve customer outage notifications, internal processes, data quality, and supporting technology.
• Design and build reports, dashboards, and data views using outage, customer, operational, and other relevant data sources to support leadership decisions and operational performance monitoring.
• Support development of internal and external outage trackers, including integration with cloud-hosted components or AWS-based environments where applicable.
• Analyze Customer Success, customer outage notification, and external outage map data to identify opportunities to improve customer experience, including developing options and recommendations related to crew status information and other customer-facing outage map enhancements.

• Familiarity with outage management, Customer Success, customer outage notifications, external outage map analytics, reliability data, Oracle Utilities Analytics (OUA), Network Management System (NMS), SQL Developer, or related utility operations data.
• Experience with PL/SQL, XML, Power Query, Power BI data modeling, DAX, Microsoft Fabric, cloud data warehousing, or AWS-based data environments.

• Ability to independently analyze complex operational data sets, reconcile data across systems, identify anomalies, validate results, evaluate options, and translate findings into actionable business insights and recommendations.
• Strong executive-ready communication skills, with the ability to explain complex technical information clearly, summarize findings, and influence decisions with technical and non-technical audiences.

• High school diploma required, bachelor's not required.