Data Analyst III

Job Overview 

Nexiya is seeking a motivated, analytical, and self-directed Data Analyst III to provide advanced analytical support to our client, a major utility company in their Kearny Mesa office. This individual will join the Advanced Distribution Management Team (ADMT) and play a key role in supporting Electric Distribution Operations, Electric Reliability, Customer Operations, and Customer Success initiatives. 

The Data Analyst III will independently analyze complex operational, outage, customer, and system data to identify trends, validate information, answer business questions, and deliver actionable recommendations that improve operational performance and the customer outage experience. This position requires a senior-level professional with strong SQL expertise, exceptional analytical skills, and the ability to communicate technical findings to both technical and non-technical stakeholders. 

Nexiya is an award-winning Women's Business Enterprise (WBE) that embraces diversity and inclusion in all aspects of business along with the core values of honesty, integrity, loyalty, and commitment. Our values attract and maintain high-quality talent in order to create long-lasting relationships between our clients and employees. Join Nexiya today to become part of an elite team of experts in the utility industry. 

Client Deadline:  Thursday 8/13 at 5 PM  

Roles and Responsibilities 

• 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. 
• Perform other job duties as assigned. 

Education/Experience Requirements 

• Minimum 5 or more 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 candidates with 7 or more years of highly relevant utility, outage management, customer operations, or operational analytics experience may also be considered. 
• Senior-level experience developing reports, dashboards, data extracts, or analytics using SQL, Oracle tools, Power BI, or similar platforms, with strong working knowledge of SQL, relational data models, and Oracle Database concepts. 
• 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. 
• Experience leading requirements discussions, documenting functional or technical specifications, supporting user acceptance testing, creating user-friendly documentation, and advising stakeholders on data-driven decisions. 
• 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 preferred. 
• Experience with PL/SQL, XML, Power Query, Power BI data modeling, DAX, Microsoft Fabric, cloud data warehousing, or AWS-based data environments preferred. 
• Strong executive-ready communication skills, with the ability to explain complex technical information clearly, summarize findings, and influenc