Model Analyst

ABOUT EIP Energy Infrastructure Partners LLC (EIP) is a minority-owned business specializing in energy efficiency, electrification, decarbonization, and demand-side management programs. With offices in New York, Illinois, California, Oregon, Pennsylvania, and Washington, EIP combines national reach with local market understanding. Our work advances sustainable energy solutions, supports economic development, and prioritizes benefits for disadvantaged communities. As a leader in clean energy program implementation and consulting, EIP is proud to help clients achieve meaningful environmental and economic outcomes through innovative, high-impact projects. Position Description EIP is seeking a Model Analyst based in Chicago to conduct regression analysis and quantify energy savings for strategic energy management (SEM) programs serving ComEd, PECO, and NYSEG markets. The analyst will build and maintain facility-level energy use models that account for production, weather, occupancy, and other relevant drivers, then use those models to assess changes in performance over time. Working with engineers, SEM coaches, program managers, and customer teams, the Model Analyst will gather and validate data, select appropriate model variables and time periods, establish baselines, calculate normalized savings, and prepare documentation that supports program reporting and technical review. The role requires careful statistical analysis and the judgment to distinguish meaningful operational improvements from data issues or changes in facility activity. The ideal candidate can explain modeling assumptions and results clearly to technical and nontechnical colleagues, manage recurring analyses for multiple facilities, and adapt methods to each utility program’s measurement and verification requirements. Objectives of this Role • Reliable Energy Baselines: Develop reproducible regression models that describe normal facility energy use and its relationship to relevant operating conditions. • Defensible Savings Estimates: Quantify changes in energy use attributable to SEM activities using approved methods, documented adjustments, and appropriate uncertainty checks. • Data Quality: Identify missing, inconsistent, or anomalous utility and driver data before they affect model results or savings claims. • Program Compliance: Apply the applicable utility and program measurement and verification protocols consistently across participating facilities. • Actionable Insight: Translate model findings into useful feedback for SEM coaches, engineers, customers, and program managers. • Timely Delivery: Maintain models and recurring reports on schedule while supporting accurate portfolio-level tracking and continuous improvement. Daily and Monthly Responsibilities • Assemble Analysis Data: Collect and organize utility bills, interval meter data, production records, weather data, operating schedules, occupancy, and other drivers relevant to each facility. • Validate Data Quality: Check units, time stamps, meter coverage, missing periods, duplicate records, outliers, and changes in operations; document corrections and unresolved limitations. • Develop Regression Models: Select appropriate baseline periods and independent variables; build and test facility-level models using suitable statistical tools and program-approved methods. • Evaluate Model Performance: Review residuals, explanatory power, bias, error metrics, and the plausibility of coefficients; investigate poor model fit and avoid unsupported savings conclusions. • Calculate SEM Savings: Compare observed reporting-period energy use with modeled baseline consumption adjusted to reporting-period conditions; document formulas, inputs, and results. • Address Facility Changes: Assess whether equipment, production, schedules, occupancy, or other non-routine changes require model revisions or documented adjustments under program rules. • Support Measurement and Verification: Prepare model files, data dictionaries, calculation workbooks, charts, and narratives for internal review, utility reporting, and evaluator requests. • Collaborate with Program Teams: Work with SEM coaches and engineers to understand facility operations, validate model drivers, investigate unexpected trends, and interpret results. • Communicate Findings: Present baselines, performance trends, savings estimates, assumptions, and uncertainty in concise reports and visualizations suited to the intended audience. • Maintain Portfolio Tracking: Update recurring analyses, track analysis status and due dates, reconcile facility results to program reporting, and escalate data or modeling risks. • Improve Analytical Practices: Help refine templates, quality checks, documentation standards, and repeatable workflows across SEM programs. Required Qualifications • Education: Bachelor’s degree in engineering, statistics, mathematics, data science, economics, physics, or a related quantitative field, or equivalent relevant experience. • Regression Analysis: Demonstrated ability to develop, interpret, and validate multivariable regression models using real-world time-series or operational data. • Data Analysis Tools: Strong Excel skills and proficiency with at least one analytical environment such as R, Python, SQL, or a comparable statistical tool. • Analytical Judgment: Ability to assess model fit, data quality, variable selection, outliers, seasonality, and uncertainty without relying solely on automated outputs. • Technical Documentation: Ability to maintain transparent calculations and explain methods, assumptions, adjustments, and results clearly in writing. • Collaboration: Ability to work with engineers, customer-facing teams, and program managers to understand the operational context behind the data. • Organization: Ability to manage analyses for multiple facilities and programs, maintain version control, and meet recurring reporting deadlines. Preferred Qualifications • SEM Experie