System Reliability Data Analyst I

Performs System Reliability functions to improve and enhance the reliability performance of the transmission system to meet the needs of Members and corporate goals, specifically focused on developing analytic approaches and visualizations of existing data and providing recommendations to aid in supporting reliability initiatives. This position is a member of the System Reliability department and, more specifically, the Engineering Data Diagnostic Center (EDDC) team. The EDDC team has the responsibility for ensuring the EDDC accurately represents the operational and engineering data collected by transmission system assets.

I - Collect, clean, and transform data from various sources, including relays, meters, databases, and external datasets. Perform advanced statistical and data analysis to identify trends, patterns, and anomalies. Conduct root cause analysis of operational issues and provide insights for resolution. Create compelling data visualizations, dashboards, and reports to communicate findings effectively to stakeholders. Use data visualization tools (e.g., Tableau, Power BI) to present data-driven insights. Assist with implementing substation equipment into the EDDC in accordance with System Reliability standards. Support auditing of dashboards and data validation for the EDDC. Will require assistance and overall supervision from senior engineers.

REQUIRED QUALIFICATIONS:

Education: Bachelor's degree in mathematics, computer science, statistics, or a quantitative field

Experience: Zero (0) to three (3) years of experience using programming skills to analyze large datasets, preferably with an electric utility or power systems environment.

Licenses/Certificates: Valid Georgia Driver's License. Must be able to pass a NERC CIP personnel risk assessment screening and pass the ITS qualified operator training course, not to switch, but to have knowledge of system components.

Specialized (e.g., typing, computers, software, tools, and equipment uses, etc.): Strong problem-solving skills and knowledge of advanced statistical techniques and concepts. Proficient with Microsoft Excel spreadsheets and graphics; experience with Microsoft Word, PowerPoint, large databases, and/or Microsoft Access. Experience using computer languages (such as Python, R, SQL) to manipulate data and draw insights from large data sets. Experience utilizing data visualization tools (e.g., Tableau, Power BI) to create reports or dashboards. Strong analytical and problem-solving skills with a keen attention to detail. Excellent interpersonal, written, and verbal communication skills; ability to plan, organize, and successfully complete assignments.