DescriptionThe Data Analyst I is responsible for implementing best information technology data management practices in an effort to improve and ensure quality, streamline data cleaning efforts and deliver analyzable databases within agreed upon project timelines.
The Data Analyst I will primarily support the quantitative component of AIM-UP, a research project examining how evidence-based adolescent pregnancy prevention programs are adapted for diverse populations and settings. Drawing on individual student survey data from nine implementation projects involving more than 17,000 participants across Indiana, the analyst will help manage, integrate, and analyze data to examine how program adaptations relate to participants’ knowledge, attitudes, skills, intentions, and behaviors. The analyst will also work as part of a statistical core supporting the Department of Surgery, assisting with research data management, development of analysis plans, statistical analyses, and preparation of tables, figures, and methods and results sections for manuscripts. Additional projects may involve similar data management and analytical responsibilities, with work conducted in collaboration with investigators and under statistical guidance.
ResponsibilitiesDesigns and writes custom applications needed to ensure the database meets requirements for the entry, management and reporting of data.
Assists in the development of data management plans and guidelines that will deliver accurate, timelines consistent with quality data. Assures the quality control compliance process.
Identifies and implements solutions to data management issues and concerns that arise during the conduct of research studies.
Assists staff with technical issues related to electronic and remote record keeping systems; trains staff to help improve quality of data collected.
Assists medical students, interns, residents and/or program faculty with queries and generating statistical analyses.
Maintains knowledge of the current regulations and technologies related to data management.
May write and prepare manuscripts and other materials for internal and external audiences.
Uses R to clean, merge, and efficiently process large, complex research datasets; uses SQL to query and retrieve data as needed.