Opinion Dynamics
Associate Quantitative Analyst
Opinion Dynamics, Waltham, Massachusetts, United States, 02254
Join to apply for the
Associate Quantitative Analyst
role at
Opinion Dynamics
Base pay range $75,000.00/yr - $105,000.00/yr
Director of Talent Acquisition at Opinion Dynamics Join our team as an Associate Quantitative Analyst, where you'll dive into the exciting world of clean energy! In this role, you'll clean, analyze, and model large panel data sets to evaluate the effectiveness of clean energy interventions and enhance our forecasting and planning efforts. You'll leverage econometric, statistical, and predictive analytic techniques to conduct in-depth analyses of utility customer energy consumption, energy demand, and customer segmentation. You'll also work with diverse data streams, including interval energy consumption, utility bills, and telemetry data, to uncover insights that drive impactful decisions. If you have a passion for data and advancing the adoption of clean energy solutions, this is the opportunity for you.
Responsibilities:
Clean and analyze large datasets using R
Apply appropriate analytical and statistical techniques to answer research questions
Exhibit critical thinking and curiosity including considering how your analysis fits within the "big picture” for the project and client
Produce high-quality analytical outputs (e.g., visualizations, tables) and contribute to client reporting
Participate in quality control processes
Develop and apply effective practices to minimize errors in your own work
Maintain awareness of priorities and deadlines in coordination with manager
Requirements:
Bachelor’s degree with 0-3 years of experience (depending on relevance)
Required degree: Economics, statistics, data science, quantitative social science, or other quantitative field
Coursework in econometrics, statistics, machine learning, or predictive analytics
Programming skills in R or Stata
Passionate about clean energy and wants to advance adoption of clean energy solutions through creative and rigorous application of data analytics
Exceptional attention to detail
Highly motivated, with a demonstrated track record of thinking critically about your work
Strong written and oral communication skills
Ability to juggle and prioritize multiple tasks and deadlines simultaneously and flexibly
Preferred but not required:
Strong preference for intermediate or better R programming skills Experience with the tidyverse package suite or data.table
Experience with version control software (e.g. Git) and collaborative code development
Experience with Databricks or Spark
Programming skills in Python
Coursework in or applied experience with:
The energy industry, including energy efficiency, demand response, and/or distributed energy resources programs and initiatives
Utility sector economic analysis including program and policy evaluation, program cost-effectiveness, load forecasting, and/or valuation of distributed energy resources
Experience with preparation and analysis of utility load data
Salary and hybrid environment:
Salary range: $75,000 – $105,000 depending on experience.
This is a hybrid role with a mix of weekly in-office and remote work out of one of our offices. Strong preference for our Waltham, MA or Portland, OR locations. Also open to La Jolla, CA.
**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.
Seniority level
Entry level
Employment type
Full-time
Job function
Analyst and Research
Industries
Services for Renewable Energy, Environmental Services, and Research Services
Referrals increase your chances of interviewing at Opinion Dynamics by 2x
Benefits
Medical insurance
Vision insurance
401(k)
Disability insurance
#J-18808-Ljbffr
Associate Quantitative Analyst
role at
Opinion Dynamics
Base pay range $75,000.00/yr - $105,000.00/yr
Director of Talent Acquisition at Opinion Dynamics Join our team as an Associate Quantitative Analyst, where you'll dive into the exciting world of clean energy! In this role, you'll clean, analyze, and model large panel data sets to evaluate the effectiveness of clean energy interventions and enhance our forecasting and planning efforts. You'll leverage econometric, statistical, and predictive analytic techniques to conduct in-depth analyses of utility customer energy consumption, energy demand, and customer segmentation. You'll also work with diverse data streams, including interval energy consumption, utility bills, and telemetry data, to uncover insights that drive impactful decisions. If you have a passion for data and advancing the adoption of clean energy solutions, this is the opportunity for you.
Responsibilities:
Clean and analyze large datasets using R
Apply appropriate analytical and statistical techniques to answer research questions
Exhibit critical thinking and curiosity including considering how your analysis fits within the "big picture” for the project and client
Produce high-quality analytical outputs (e.g., visualizations, tables) and contribute to client reporting
Participate in quality control processes
Develop and apply effective practices to minimize errors in your own work
Maintain awareness of priorities and deadlines in coordination with manager
Requirements:
Bachelor’s degree with 0-3 years of experience (depending on relevance)
Required degree: Economics, statistics, data science, quantitative social science, or other quantitative field
Coursework in econometrics, statistics, machine learning, or predictive analytics
Programming skills in R or Stata
Passionate about clean energy and wants to advance adoption of clean energy solutions through creative and rigorous application of data analytics
Exceptional attention to detail
Highly motivated, with a demonstrated track record of thinking critically about your work
Strong written and oral communication skills
Ability to juggle and prioritize multiple tasks and deadlines simultaneously and flexibly
Preferred but not required:
Strong preference for intermediate or better R programming skills Experience with the tidyverse package suite or data.table
Experience with version control software (e.g. Git) and collaborative code development
Experience with Databricks or Spark
Programming skills in Python
Coursework in or applied experience with:
The energy industry, including energy efficiency, demand response, and/or distributed energy resources programs and initiatives
Utility sector economic analysis including program and policy evaluation, program cost-effectiveness, load forecasting, and/or valuation of distributed energy resources
Experience with preparation and analysis of utility load data
Salary and hybrid environment:
Salary range: $75,000 – $105,000 depending on experience.
This is a hybrid role with a mix of weekly in-office and remote work out of one of our offices. Strong preference for our Waltham, MA or Portland, OR locations. Also open to La Jolla, CA.
**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.
Seniority level
Entry level
Employment type
Full-time
Job function
Analyst and Research
Industries
Services for Renewable Energy, Environmental Services, and Research Services
Referrals increase your chances of interviewing at Opinion Dynamics by 2x
Benefits
Medical insurance
Vision insurance
401(k)
Disability insurance
#J-18808-Ljbffr