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Econ One Research

Summer Analyst – Healthcare Economics

Econ One Research

. Import, process, and analyze data using SAS, Stata, and Python .

Posted 9/23/2026internshipRemote • United StatesMid-LevelSenior💰 $30 - $40 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in data analysis and statistical software, including SAS, Stata, and Python, with strong capabilities in economic analysis and econometrics. Demonstrates excellent communication skills and the ability to synthesize complex information into clear presentations and deliverables.

Highest-signal resume keywords
Data AnalysisSASStataPythonEconomic Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ProcessingStatistical AnalysisData CleaningQuantitative ResearchData Presentation
Soft Skills
Verbal CommunicationWritten CommunicationTime ManagementAttention to DetailTeam Collaboration
Industry Keywords
EconomicsStatisticsFinanceData ScienceHealthcare Litigation

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Import, process, and analyze data using SAS, Stata, and Python
  • Draft technical memos explaining the cleaning and analysis of large, complex datasets
  • Identify deficiencies in data productions and draft data questionnaires
  • Review and log produced documents and depositions
  • Extract information necessary for analysis and reports
  • Conduct research, including identifying relevant peer-reviewed literature
  • Support experts testifying in antitrust, class action, and other commercial disputes
  • Work on economic analysis and econometrics projects related to healthcare litigation and public policy
  • Conduct research, perform statistical analyses, substantiate findings, and synthesize complex information into presentations and deliverables

Requirements

What you’ll need
  • Rising Seniors majoring in an analytical field (e.g., Economics, Statistics, Finance, Mathematics, Data Science, or Computer Science)
  • GPA of 3.5 or higher
  • Coursework in economics, finance, mathematics, statistics, data science, or other quantitative fields
  • Introductory knowledge of SAS, Stata, Python, or other statistical software
  • Excellent verbal and written communication skills
  • Ability to demonstrate proficiency with data presentation
  • Ability to work independently and as part of a team
  • Dedicated to seeing projects through to completion
  • Time management skills and attention to detail

Benefits

Comp & perks
  • Competitive hourly compensation
  • Advancement opportunities
  • Tailored professional development
  • Supportive team environment
  • Teamwork and open communication