Data Analyst I

Responsibilities

• 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. RAs collect and organize data, conduct statistical analysis on large databases, contribute to manuscript writing (with the option for co-authorship), and provide other support associated with faculty research.
• ESSENTIAL FUNCTIONS Develops and supports ongoing research projects of faculty, compile, manipulate, and analyze data using various search engines and software packages.
• Develops, collect, manage, and manipulate complex datasets using a variety of tools and sources, including but not limited to Stata, SAS, R, or Python;
  Create maps and link spatial data to health data.
• Analyzes and interprets data, statistics, and financial information.
• Collaborate with other members of the research team to advance research progress.
• Maintain effective communication with all members of the faculty, HEEL team, and outside collaborators.
• Partner with faculty with 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.

• Bachelor s degree in statistical analysis, data base management, or related discipline and 1 year experience with data analysis or customer resource management systems required Or equivalent combination of education and experience

• Strong attention to detail required
• Strong organizational, data analysis and problem solving skills required
• Familiarity with statistics and statistical analysis preferred
• Advanced knowledge of Microsoft Excel preferred
• Ability to visually portray data preferred
• A strong quantitative background; (ii) excellent programming skills (especially in Stata, with openness to learn SAS, python, R or SQL); (iii) the ability to work independently to solve problems; and (iv) a long-term interest in pursuing research in economics.
• 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 also recommended; preferred.

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