Operational Data Analyst

Spectraforce

San Diego, CA, United States

5 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

jobs.localjobnetwork.com

Tech stack

Amazon Web Services Data Analysis Business Systems Cloud Database Data Infrastructure Relational Databases Database Development Network Management System Operational Data Store Oracle Databases Oracle (Applications) Power BI

+11 more

Standard Sql Software Engineering PL-SQL SQL Databases Extensible Markup Language (XML) Powerquery Build Management Microsoft Fabric Data Analytics Operational Systems User Accounts

Job description

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.

Requirements

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.
Utility operations or outage management experience (recommended not required), especially familiarity with outage management, customer outage notifications, external outage map analytics, reliability data, or related utility operations data.
Clear, executive-ready communication and collaboration skills, with the ability to explain complex technical information to both technical and non-technical stakeholders and influence decisions through data-driven insights.
High school diploma required, bachelor’s not required, * 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 influence decisions with technical and non-technical audiences.