Note: The job is a remote job and is open to candidates in USA. EcoMetric is a consulting firm specializing in energy efficiency, renewable energy, and distributed generation. The Quantitative Research Analyst will clean and analyze energy, utility, economic, and program data; apply statistical and machine learning methods to evaluate energy savings and cost effectiveness; and support research, data collection, client reporting, and presentations.
Responsibilities
- Utilize the best methods of cleaning, preparing, and integrating energy data from several different sources and formats for use in advanced analytics
- Analyze and investigate hourly and sub-hourly utility interval data to determine and validate energy savings leveraging statistical models such as TTOW, change point, OLS, and ensuring model fits within statistical limits for fit, bias, and accuracy
- Data management and interpretation, including documenting and synthesizing large amounts of energy consumption, market research, and financial data into models and tools that deliver insights for clients
- Analyze utility and energy efficiency program data utilizing Excel or other statistical software to identify trends, summarize program events, and identify causal impacts on program results
- Analyze economic data and determine energy efficiency program or portfolio cost effectiveness, and financial, job, and household impacts
- Support primary data collection efforts through survey design, data processing, or primary collection through interviews
- Work independently or with minimal supervision to participate in multiple research efforts ensuring consistency and quality of research methods while managing multiple priorities
- Employ sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling
- Document findings visually and/or verbally for memos and reports to clients and/or internal project teams
- Support senior staff with development of presentations and papers
Skills
- • Bachelor's or Master's Degree in applied economics, physics, mathematics, statistics, environmental policy, or a related field and at least 3 years of experience with energy efficiency evaluation or efficiency programs
- • Experience with regression and classification techniques such as RF, SVM, linear regression, time-series models, etc
- • Programming proficiency with Python
- • Strong proficiency using Microsoft Office, particularly Excel and Word
- • Strong written and oral presentation skills and be comfortable explaining complex concepts to non-technical audiences
- Knowledge of VBA programming is also preferred
Benefits
- Medical, vision, and dental insurance.
- Life insurance and short-term & long-term disability insurance
- Flexible personal time off (15-20 days), 10 holidays, two flex holidays.
- Maternity/Paternity paid leave.
- 401(k) Plan.
- Performance bonus.
- Reimbursement for annual professional development training or certification.
- Mileage reimbursement for the use of a personal vehicle.
- The opportunity to have a positive impact on our environment and grow as a professional in the sustainable energy efficiency industry.
- Mentorship, challenging projects, and opportunities to lead.
Company Overview
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