Energy Model Analyst – SEM & Savings (Hybrid)

Energy Infrastructure Partners AG; Chicago (IL); Hybrid; USD 60,000 - 75,000; Full time

Benefits offered by this job

Competitive base salary

Bonus

401(k) with employer match

Health, dental, vision insurance

Paid vacation, sick time, and holidays

Professional development

Job summary

Energy Infrastructure Partners LLC in Chicago seeks a Model Analyst to conduct regression analyses and quantify energy savings for SEM programs across ComEd, PECO, and NYSEG markets. You will build facility-level energy-use models accounting for production, weather, occupancy, and other drivers, validate data, select variables, establish baselines, and prepare documentation for reporting and evaluation.

Collaborate with engineers and program teams to translate findings into actionable insights

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.

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 elevate data or modeling risks.
• Improve Analytical Practices: Help refine templates, quality checks, documentation standards, and repeatable workflows across SEM programs.

Skills

Regression Analysis

Analytical Judgment

Collaboration

Organization

Education

Bachelor's degree in quantitative field

Tools

R

Python

SQL

Job description

Energy Infrastructure Partners LLC in Chicago seeks a Model Analyst to conduct regression analyses and quantify energy savings for SEM programs across ComEd, PECO, and NYSEG markets. You will build facility-level energy-use models accounting for production, weather, occupancy, and other drivers, validate data, select variables, establish baselines, and prepare documentation for reporting and evaluation.

Collaborate with engineers and program teams to translate findings into actionable insights