Senior Consultant, Energy Analytics & Evaluation
New
R
Resource InnovationsEnergy analytics
Workable workplace: remote; Workable locations: Louisville, Colorado, United StatesFull-TimeSenior
SalaryThe compensation range for the base salary for this position is $90,000-$144,000. In addition to base pay, employees may be eligible for a discretionary annual bonus.
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Job Details
- Experience
- A Bachelor's degree in a quantitative field ... with at least four years of relevant experience; or a Master’s degree in a related field with at least two years of relevant experience.
- Required Skills
- PythonR
Requirements
- Hold a Bachelor’s degree in a quantitative field such as economics, statistics, mathematics, computer science, or quantitatively focused public policy, with at least four years of relevant experience; or a related Master’s degree with at least two years of relevant experience.
- Have previous experience performing econometric and statistical modeling.
- Have experience with statistical analysis using Stata, R, Python, SAS, or other data management languages or software.
- Be able to translate data into reports and presentations.
- Have written and oral presentation skills and client interface capabilities.
- Have previous experience in the energy industry.
- Have experience evaluating demand response, energy efficiency, behavioral, time-of-use, or distributed energy resource programs; consulting experience is preferred.
- Have experience with experimental design, including randomized controlled trials and matched control group selection.
- Have experience working with hourly interval or AMI data at scale, including load shape analysis and event-day performance estimation.
- Be familiar with load impact protocols, evaluation, measurement and verification frameworks, and cost-effectiveness testing.
- Be able to identify and troubleshoot project problems and explain analytical approaches to clients.
- Knowledge of natural gas or electric utility operations and regulatory frameworks is preferred.
Responsibilities
- Apply economic and statistical tools to business and policy analysis, especially for electricity demand-side management.
- Estimate program load impacts using randomized controlled trials, matched control groups, and difference-in-differences regression.
- Clean, process, and analyze large interval and AMI datasets, customer billing data, program tracking data, and survey data using Stata, R, or Python.
- Analyze project data to identify trends and assess their policy or program implications.
- Develop cost-benefit, cost-effectiveness, or risk models, and build forecasting and scenario tools for program planning.
- Support customer survey design and administration, including sampling plans, instrument development, and analysis.
- Contribute to evaluation plans, baseline methodology, and load impact protocol documentation.
- Prepare reports, presentations, and testimony, including regulatory filings and compliance deliverables.
- Create tables, figures, and visualizations, and proofread deliverables for accuracy and formatting.
- Support proposal preparation and other business development opportunities.
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