Research Analyst

ERG is a research and consulting firm that provides a wide range of support to federal, state, and commercial clients. ERG offers multidisciplinary teams with nationally recognized skills in engineering, science, economics, public health, informational technology, and communications. We hire people with the best minds and then provide them with a vibrant and flexible environment in which to develop their careers. The qualified individual must be highly motivated with the skills to prioritize, perform, and communicate effectively in a fast-paced environment.

Job Description

• Serving as a technical analyst for domestic U.S. projects related to policies and regulations affecting public health, worker safety and health, and the environment
• Working with large data sets (e.g., performing data cleaning, merging, matching, visualization, etc.) using R, Python, SAS, or other statistical analysis tools
• Implementing RAG (Retrieval-Augmented Generation)
• Using AI and machine learning across various types of projects
• Conducting technical literature reviews
• Supporting mid- and senior-level staff in analyzing benefits, costs, and impacts of regulations, policies, and programs
• Supporting mid- and senior-level staff in conducting evaluations of public health and environmental programs using standard and innovative quantitative and/or qualitative methods and techniques
• Supporting primary data collection efforts which include field and web surveys, interviews, and focus groups
• Preparing sections of projects reports, memoranda, quantitative models, and presentations

Qualifications and Skills

• Bachelor’s Degree in an economic or other quantitative field, such as Mathematical Economics, Data Science, Statistics, Computer Science, Sociology or related degree
• Good proficiency in R, Python, C, C++, SAS, or STATA for coding, data analysis and predictive analytics
• Ability to conduct technical analyses both quantitative and qualitative in nature
• Ability to implement RAG (Retrieval-Augmented Generation)
• Ability to implement AI tools and machine learning effectively across project types
• Ability to manage deadlines effectively across multiple projects
• Excellent written and oral communication skills, including the ability to clearly communicate analyses and findings to various stakeholders in non-technical language
• Excellent time management and organizational skills
• Proficiency in MS Office Applications including Word, PowerPoint, Outlook, Excel, and Teams