About this opportunity
Madison Gas & Electric lists this Senior Forecasting Analyst opportunity in madison, Wisconsin. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior Forecasting Analyst
nLocation Madison
nJob Category Accounting/Finance
nApply Now (
nJob Purpose
nMadison Gas and Electric is seeking a Senior Forecasting Analyst to support and continuously improve electric and natural gas sales, customer, revenue, and peak-demand forecasting. In this senior-level individual contributor role, you will apply advanced statistical modeling, financial analysis, and business insight to develop defensible forecasts that support budgeting, regulatory analysis, resource planning, and long-range decision-making. This is an opportunity to translate complex data into clear, actionable recommendations for senior leaders and cross-functional partners while helping shape critical planning decisions for a reliable, forward-looking energy company.
nCore Responsibilities
nNote: This list is not all-inclusive
nnnDevelop, maintain, and enhance short- and long-term forecasts of electric and natural gas sales, customer counts, and operating revenue by customer class, rate category, or other relevant business segments.
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nnApply statistical and analytical techniques such as regression, time-series analysis, weather normalization, trend analysis, segmentation, sensitivity analysis, and forecast error measurement to evaluate historical results and projected outcomes.
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nnAnalyze customer billing, usage, weather, economic, rate, and operational data to identify underlying trends, structural changes, risks, and key drivers of revenue and sales.
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nnIntegrate forecast outputs with budgets, long-range financial plans, regulatory analyses, resource planning assumptions, and other enterprise planning processes.
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nnPerform actual-to-forecast variance analysis and clearly explain the effects of weather, customer growth, usage patterns, rates, economic conditions, and other business factors.
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nnDesign and maintain repeatable forecasting processes, analytical datasets, dashboards, and reporting tools that improve accuracy, efficiency, transparency, and control.
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nnDevelop scenarios and sensitivities to evaluate uncertainty and the financial implications of alternative weather, economic, customer, rate, and market assumptions.
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nnValidate models and data through back-testing, reasonableness checks, reconciliation, peer review, and ongoing monitoring of forecast performance.
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nnPartner with business and technical teams to define data requirements, resolve data-quality issues, and improve access to reliable, well-governed information.
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nnCommunicate assumptions, methodologies, results, limitations, and recommendations in a clear manner for technical and non-technical audiences, including senior management.
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nnMaintain comprehensive documentation of data sources, model logic, assumptions, controls, changes, and forecast decisions to support continuity, review, and auditability.
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nnMonitor relevant utility, customer, technology, and economic developments and assess their potential implications for electric and natural gas sales and revenue forecasts.
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nnProvide analytical leadership, support continuous improvement, and serve as a subject matter resource for revenue and sales forecasting.
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n nBehavioral Competencies
nnnBusiness Acumen – Connects analytical results to utility operations, financial performance, customer behavior, regulatory considerations, and other business decisions.
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nnAnalytical Judgment – Selects appropriate methods, tests assumptions, recognizes limitations, and balances model output with informed business judgment.
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nnStrategic Thinking – Anticipates emerging trends and develops forward-looking insights that support long-term planning.
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nnCommunication – Explains complex analyses, uncertainty, and recommendations clearly and concisely for the intended audience.
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nnCollaboration – Builds effective relationships across functions and incorporates diverse operational and technical perspectives.
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nnOwnership and Accountability – Delivers accurate, timely work; maintains strong controls and documentation; and follows issues through resolution.
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nnContinuous Improvement – Identifies practical opportunities to improve forecast quality, process efficiency, data reliability, and analytical capability.
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nnAdaptability and Learning Agility – Learns new data, tools, methods, and business concepts and applies them effectively in changing conditions.
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n nSkills
nnnRevenue and Sales Forecasting – Develops defensible electric and natural gas sales, customer, and revenue forecasts. (Advanced)
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nnData Analysis – Organizes, reconciles, and analyzes large and complex datasets to identify meaningful business insights. (Advanced)
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nnStatistical Analysis – Applies appropriate statistical methods, evaluates model performance, and interprets results and limitations. (Advanced)
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nnUtility and Financial Analysis – Connects customer usage and billing results to rates, revenue, budgets, and financial outcomes. (Advanced)
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nnScenario and Sensitivity Analysis – Evaluates alternative assumptions and communicates the range and drivers of potential outcomes. (Advanced)
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nnData Visualization and Communication – Creates clear dashboards, reports, and presentations that support decision-making. (Advanced)
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nnData Management and Controls – Maintains reliable data, repeatable processes, documentation, version control, and quality assurance procedures. (Advanced)
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nnAnalytical Tools – Uses spreadsheets, databases, visualization tools, and statistical or programming tools to automate and scale analysis. (Advanced)
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n nEducation
nnBachelor’s degree in Finance, Economics, Statistics, Data Analytics, Business Analytics, Computer Science, or a related field required; master’s degree or relevant certification preferred.
n nExperience
nnn5+ years of related forecasting, statistical analysis, financial analysis, or business analytics experience.
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nnExperience developing, validating, and communicating forecasting models using large, multi-source datasets.
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nnExperience with advanced spreadsheets and at least one statistical, programming, database, or business intelligence tool.
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nnUtility or regulated industry experience preferred.
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n nWork Location
nnThis hybrid role is based at our Madison, WI headquarters and will require a mix of office and field work. While three days onsite is the minimum, team collaboration and business needs may require additional in-office presence.
n nPre-employment will require satisfactory completion of a background check and drug screen.
nWe are an AA/EOE employer and consider all qualified candidates without regard to protected status.
Worksite address
madison, WI, 53774, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.