Job Description:
Gather and analyze healthcare and other related data to identify and interpret trends in support of data requests, business cases, and proposed projects.
Design, construct, test, and maintain data warehouse and related functionality including extraction and transformation of data using SSIS.
Design, develop, and test business intelligence outputs (including visualization) to ensure useful and insightful information using software including R, Python, Tableau, and/or Excel to support research and quality improvement initiatives.
Test and validate data with the purpose of understanding and making conclusions to support decision-making processes.
Design and perform statistical analyses.
Manage a variety of information systems and data files, including large and complex files: analyzing file structure, using and creating file layouts, transforming raw data into finished products.
Monitor for timely and accurate completion of select datasets.
Participate in strategic initiatives to enhance data management and reporting to support research and quality improvement initiatives.
Collaborate closely with a cross-functional team of Data Scientists, Project Managers, and Developers to ensure high-quality data delivery to faculty.
Proactively identify issues and opportunities to improve data systems and related policies as an aspect of data governance.
Investigates, analyzes and resolves day-to-day technical problems using standard procedures.
Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.
Performs code testing on components and works to ensure that appropriate implementation standards are met. Evaluates design alternatives for development cost and solutions using various methods.
Supports and maintains existing applications. Works with web developers and responds to requests from users.
Performs other related work as needed.
Preferred Qualifications
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Education:
Master's degree in biostatistics, computer science, or other related field OR requisite job experience in statistical analysis.
Experience:
Experience with ETL tools.
Experience working with application development and/or agile teams.
Experience in organizing, analyzing, and disseminating significant amounts of information with attention to detail and accuracy.
Experience in data management, including extraction, transformation, loading, validation/testing, and structuring of data.
Experience in other analytic platforms including R, Stata, Python, SAS, SQL.
Experience with business intelligence and visualization tools such as Tableau, Power BI, etc.
Licenses and Certifications:
Clarity.
Technical Skills or Knowledge:
Common data models (OMOP, PCORnet).
ETL tools.
Analytic platforms including R, Stata, Python, SAS, SQL.
Preferred Competencies
Understanding of various common data models (OMOP, PCORnet).
Knowledge of academic medical centers.
Knowledge of research processes.
Ability to work in a matrixed environment.
Ability to communicate with multiple stakeholders and collaborate with cross-functional teams.
High level of problem-solving and decision-making skills.
Knowledge of healthcare data including ICD-9, ICD-10, and CPT.
Expert in SQL and Excel.
Proficiency in relational databases with experience designing transformations, mappings, and working with reference table.
Ability to translate technical information to non-technical audiences.
Critical thinking and multi-tasking skills with the ability to manage multiple projects.
Time management skills.
Proficiency in creating technical specifications, business cases, and other development-related documentation.Â
Experience investigating data issues and working with a cross-functional team for problem resolution.
Energized by working through complex problems.
Intellectual curiosity.
Working Conditions
Office, hybrid---1 to 2 days in person required.
Application Documents
Resume (required)
Cover Letter (preferred)
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form.
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