We are looking for a passionate and inquisitive Data Analyst to join our growing research team. This is an excellent opportunity for a data-driven individual to contribute to impactful research while developing their analytical and problem-solving skills in a supportive environment
Posted January 24 2025
Employment Type:
Remote - Part-time - Contract
Required Skills:
Strong proficiency in statistical analysis: Experience with t-tests, ANOVAs, regression analysis, and other statistical methods.
Proficiency in data analysis software: Expertise in R, Python, STATA are preferred.Â
Data cleaning and manipulation skills: Experience with data cleaning techniques, including handling missing data, outliers, and inconsistencies.
Data visualization skills: Ability to create clear and informative data visualizations (e.g., charts, graphs).
Excellent communication and interpersonal skills: Ability to effectively communicate complex data analysis results to researchers.
Desired Qualifications:
Senior undergraduate or Master's degree in Data Science, Informatics, Statistics, Political Science, Psychology, Computer Science, machine learning, or a related discipline with a quant emphasis
Experience working in a research environment (preferred).
Experience with machine learning techniques (preferred).
Responsibilities:
Data Cleaning and Preparation:
Clean, transform, and prepare data for analysis.
Identify and handle missing data, outliers, and inconsistencies.
Data Analysis:
Conduct statistical analyses including t-tests, ANOVAs, regression analysis, and other relevant statistical methods.
Utilize statistical software such as R and Python for data analysis and visualization.
Data Visualization:
Create clear and informative data visualizations (e.g., charts, graphs) to effectively communicate research findings.
Research Support:
Collaborate with researchers to understand research questions and design appropriate analytical approaches.
Assist in the interpretation and presentation of research findings.
Documentation and Reporting:
Document data analysis methods and results clearly and concisely.
Prepare reports and presentations summarizing key findings.
Expectations:
Work independently and as part of a team.
Maintain accurate and organized records of all data analysis activities.
Stay updated on the latest advancements in data analysis and statistical methods.
Contribute to a positive and collaborative research environment.
Time Commitment:
Winter quarter (Jan-Mar) with the possibility of extension
10-15 hours/week during the summer, with flexibility during the school year
Working Conditions:
Collaborative academic research setting
Remote