Data Analyst I - Distribution System Operations

FirstEnergy•Akron, OH

3h•$64,600 - $160,560

About The Position

The Data Analyst supports FirstEnergy’s Advanced Distribution Management Systems (ADMS) Reporting & Analytics group, which is responsible for distribution reliability reporting and analytics, the Outage Management System (OMS) dashboard, and outage management tools. The role provides foundational support for emerging analytics tools and pilot programs, helping stabilize and operationalize capabilities as they scale, and enabling successful deployment and long-term sustainability of analytics initiatives. The position may be located at any of FirstEnergy’s major hubs. The analyst queries and interprets data from multiple systems, performs statistical analysis and business-specific research, builds data models, and develops tools and processes that provide stakeholder visibility and support improvements in distribution reliability. The role also supports data governance, data warehouses, predictive analytics, and the Dx Analytics Platform through data validation, testing, analysis, and evaluation of outputs against business requirements. Collaboration across Engineering, Operations, IT, Customer Service, and Regulatory teams is central to the work. Storm support may be needed outside normal hours, including weekends and holidays, and travel across the FirstEnergy system may be required.

Requirements

Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, or a related field.
Demonstrated proficiency in processing, manipulating, and generating insights from large structured and unstructured datasets.
Experience implementing complex programs and projects.
Proficiency in programming languages such as Python, R, or SQL.
Ability to develop effective working relationships with employees at all levels to aid in resolving problems.
Excellent interpersonal skills and strong written and verbal communication skills.
Strong analytical ability and ability to present complex subject matter effectively to all levels of management.
Ability to work as a team player in a cross-functional team environment.
Ability to perform under pressure during high-impact weather and wildfire events.
Ability to work independently and adapt to changing priorities.

Nice To Haves

Two years of relevant work experience is preferred.
Knowledge of statistical methods, predictive modeling techniques, and data mining algorithms.
Knowledge of fire weather indices such as Haines Index, ERC, and Fosberg Index.
Experience with wildfire modeling and forecasting tools, including NFDRS and WIMS.
Knowledge of FirstEnergy systems including iTOA, Oracle NMS, GIS, Cascade, EMS, SAP, and PI.

Responsibilities

Query data from iTOA, Oracle NMS, GIS, and other sources; interpret the data and analyze results using advanced statistical techniques.
Collaborate with Engineering, Operations, IT, Customer Service, and Regulatory teams to translate business needs into functional requirements and support cross-functional initiatives.
Develop tools using platforms such as Databricks, Toad Database, RapidMiner, Python, Power BI, Power Automate, Power Apps, or similar tools.
Support data governance through technical validation and testing.
Develop tools and processes that provide visibility to key stakeholders and support improvements in FirstEnergy distribution reliability.
Conduct business-specific research and ad hoc data analysis, obtaining data, interpreting results, and communicating findings to reduce reliability risk, optimize investments, and improve distribution reliability.
Build and maintain data models to enable and improve data-driven decision-making.
Help drive use of data warehouses for insights and predictive analytics.
Deliver accurate, quality work within established deadlines.
Provide storm support as needed, including off-hours, weekends, and holidays.
Travel across the FirstEnergy system when required.
Support the Dx Analytics Platform through data validation, testing, analysis, and evaluation of analytical outputs against defined business requirements and desired outcomes.