Opinion Dynamics
Provides data-driven insights and evaluation services for energy, water, and utility sectors.
Associate Quantitative Analyst
Analyze and model clean energy data to evaluate interventions and improve forecasting
Job Highlights
About the Role
• Participate in peer code review • Maintain awareness of priorities and deadlines in coordination with manager • Participate in quality control processes • Produce high-quality analytical outputs (e.g., visualizations, tables) and contribute to client reporting • Apply appropriate analytical and statistical techniques to answer research questions • Develop and apply effective practices to minimize errors in your own work • Utility sector economic analysis including program and policy evaluation, program cost-effectiveness, load forecasting, and/or valuation of distributed energy resources • Clean and analyze large datasets using R
Key Responsibilities
- ▸code review
- ▸quality control
- ▸data visualization
- ▸statistical analysis
- ▸economic analysis
- ▸data cleaning
What You Bring
• Experience with the tidyverse package suite or data.table • Programming skills in R or Stata • Coursework in or applied experience with: • Required degree: Economics, statistics, data science, quantitative social science, or other quantitative field • Ability to juggle and prioritize multiple tasks and deadlines simultaneously and flexibly • Coursework in econometrics, statistics, machine learning, or predictive analytics • Highly motivated, with a demonstrated track -record of thinking critically about your work • Experience with version control software (e.g. Git) and collaborative code development • Experience with preparation and analysis of utility load data • Strong written and oral communication skills • Strong preference for intermediate or better R programming skills • Please note: Depending on experience, we are open to hiring someone at the Associate Quantitative Analyst (entry level) or Quantitative Analyst (advanced degree and/or some relevant work experience) level. • Exceptional attention to detail • Bachelor's degree with 0-3 years of experience (depending on relevance) • Exhibit critical thinking and curiosity including considering how your analysis fits within the "big picture" for the project and client • Programming skills in Python • Experience with Databricks or Spark
Requirements
- ▸r
- ▸python
- ▸git
- ▸databricks
- ▸spark
- ▸economics
Work Environment
Remote