Research Analyst
@ ERGResearch Analyst
About the job
ERG is a research and consulting firm providing multidisciplinary support to clients like HHS, EPA, and OSHA. We hire motivated individuals for roles focusing on policy analysis, data analysis, and AI implementation in a flexible, vibrant environment.
Requirements
- Proficiency in R, Python, SAS, or STATA
- Skills in data analysis & visualization
- Ability to conduct quantitative & qualitative analysis
- Strong written and oral communication
Qualifications
- Bachelor's in quantitative field
- Experience with data analysis tools
- Ability to manage deadlines
- Excellent organizational skills
Full job description
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
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