Senior Utility Analyst

Energy CX•Chicago, IL

About The Position

As a Senior Utility Analyst at Energy CX, you will improve the accuracy of budgeting and forecasting by applying expertise in utility usage data, rate structures, and forecasting methodology. The role calls for a subject-matter expert who can strengthen analytical rigor and guide the broader team. In addition to building and maintaining complex models, you will advise colleagues, diagnose forecast errors, and develop improvements to forecasting practices.

Requirements

At least 5 years of hands-on experience analyzing utility usage, tariffs, and commodity pricing in a brokerage, trading, consulting, or utility environment.
A track record of improving forecast accuracy and explaining how forecasts were refined over time.
Advanced Excel and modeling skills, with the ability to own complex, high-stakes models.
Strong, well-supported opinions and willingness to challenge processes or results that do not appear correct.

Nice To Haves

Experience specifically in deregulated energy markets.
Ability to discuss a forecasting miss openly, including lessons learned.
SQL and business intelligence tool fluency, such as Looker, Power BI, or Tableau.
Working knowledge of machine learning concepts and modeling techniques, with the ability to apply them to improve forecast accuracy.
Experience mining and manipulating large, complex datasets to identify trends and support data-driven decisions.

Responsibilities

Apply expertise in utility rate structures, tariffs, interval data, and commodity pricing to identify issues that less experienced analysts may miss.
Audit and improve the data pipeline feeding forecasts, including usage data, tariff changes, and market inputs.
Own and improve the methodology for client energy budgets and forecasts, including assumptions, variance drivers, and modeling approaches.
Investigate forecast errors and incorporate corrections into future forecasts.
Serve as a go-to resource for analysts and the deal team on forecasting and budgeting edge cases.
Work with the ABEL and decision-engine team to validate model outputs against utility behavior and identify flawed assumptions.
Mentor junior analysts on forecasting rigor and rate-structure nuance.