Data Analyst I

Job Location: 265 Crittenden Blvd, Rochester, New York, United States of America, 14642

Full-time, 40 scheduled weekly hours

Compensation Range: $21.78 - $30.53 per hour

About the Role

The Department of Public Health Sciences at the University of Rochester seeks a highly motivated individual to serve as a full-time predoctoral research associate (Data Analyst II) under the supervision of Dr. Elaine L. Hill, a health economist. The successful candidate will participate in NIH-funded research and join the Health and Environmental Economics Lab.

Responsibilities

• Develops and supports ongoing research projects of faculty, compile, manipulate, and analyze data using various search engines and software packages.
• Develops, collects, manages, and manipulates complex datasets using a variety of tools and sources, including but not limited to Stata, SAS, R, or Python.
• Creates maps and links spatial data to health data.
• Analyzes and interprets data, statistics, and financial information.
• Collaborates with other members of the research team to advance research progress.
• Maintains effective communication with all members of the faculty, HEEL team, and outside collaborators.
• Partners with faculty on project management, managing near- and long-term priorities, exercising independent decision-making concerning the progression of research projects.
• Provides or facilitates guidance and training as needed to staff.
• Other duties as assigned.

Requirements

• Bachelor's degree in statistical analysis, database management, or related discipline and 1 year of experience with data analysis or customer resource management systems required. Equivalent combination of education and experience also accepted.
• Strong attention to detail.
• Strong organizational, data analysis, and problem-solving skills.
• Familiarity with statistics and statistical analysis.
• Advanced knowledge of Microsoft Excel.
• Ability to visually portray data.
• A strong quantitative background.
• Excellent programming skills (especially in Stata, with openness to learn SAS, Python, R, or SQL).
• Ability to work independently to solve problems.
• Long-term interest in pursuing research in economics.

Qualifications

• Background in economics is recommended but not necessary—we welcome candidates with strong technical backgrounds who are looking for more exposure to economics and data science.
• Knowledge of GIS is preferred.