Rush University Medical Center Data Analyst in Chicago, Illinois
Job Title: Data Analyst
Department: Graduate College Administration
Full/Part: Active Regular PT (40 to 71 hours per pay period)
Job Number: 2019-0034
The Data Analyst is responsible for collecting data, quality control of the databases, and statistical analysis of data for use in the Graduate College.
The Data Analyst will collect and analyze data, interpret results, and submit reports and recommendations to the leadership team.
The Data Analyst will support and help the Graduate College leadership team interpret results from the analysis and corresponding reports.
Provides the College leaders, staff, and University officials (as assigned) with real time data analysis.
Writes SQL queries to extract data from any of the Graduate Colleges database for decision making and reporting purposes.
Assists in the development of data storage and access methods and policies to provide maximum efficiency within the Graduate College.
Organizes and analyzes applicant, admissions, course, student, faculty and alumni data from multiple sources and synthesizes results into meaningful reports and presentation.
Prepares complex quality analyses utilizing benchmark data from a number of sources as appropriate.
Identifies and compiles data from multiple sources to produce and distribute reports to support grant submission and accreditation processes. May be requested to validate externally reported data with internal source data.
Analyzes the use and effectiveness of processes necessary for aggregating information from applicant (ETS, Recruit & Embark) and student (Colleague) computer systems.
Generates/ presents reports to Graduate College faculty and leadership as needed.
Establishes relationships with various departments in the University to obtain and validate data.
Maintains the confidentiality of all internal correspondence as well as with external entities.
Position Qualifications Include:
High school diploma and Five years of related work experience in higher education required. Bachelor’s degree in related field preferred.
Proficient in the use of statistical software and techniques in the analysis and interpretation of complex data sets preferred.
Understanding of concepts in methodology, data collection, and analyses.
Proficient with higher education and grant submission terminology.
Data management experience; knowledgeable in database rules, writing queries, and relational database creation and management (create, query, relate).
Unique combinations of both hard and soft skills in order to prepare, analyze, and present data.
Proficient in writing SQL queries and stored procedures on large data sets with complex data models.
Strong analytical and problem solving skills.
Strong verbal and written communication skills.
Proficient computer skills including query tools, web-based applications, word processing, spreadsheets, graphs, PowerPoint, and database management.
Ability to manage multiple projects essential.
Ability to work independently or in groups.
Ability to prioritize time.
Ability to adapt to a rapidly changing environment.
Ability to work with all levels of leadership and staff.
Advanced ability to create summary reports using statistical tools, charts, and graphs.
Ranked among the top academic medical centers in the country, Rush University Medical Center is an outstanding place to enhance your career. Everything we do centers on one goal: improving patient care.
Rush is an academic health system comprising Rush University Medical Center, Rush Copley Medical Center and Rush Oak Park Hospital.
Rush was ranked Best Hospital in Illinois for Nurses in 2017 by Nurse.org.
Ranked among the top 20 best places to work in healthcare by Indeed.
Leading academic medical center, acute care hospital w/ 664 licensed beds.
For the 12th consecutive time, Rush University Medical Center and Rush-Copley Medical Center received an A grade in a nationwide safety evaluation of hospitals, putting them among the top 2.2 percent of hospitals.
Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.