Healthcare Data Analyst

Department

BSD CRI - Data Warehouse

About the Department

The Center for Research Informatics (CRI) is an organization within the Biological Sciences Division (BSD) that provides informatics resources and services to BSD faculty. Four main services comprise the CRI's operations: applications development, bioinformatics, IT infrastructure and scientific computing, and clinical research data warehousing/business intelligence. Through these service lines, the CRI enables research of the highest scientific merit and advances the state of the art of clinical and translational informatics. The CRI recruits exceptional candidates looking to leverage state-of-the-art technologies to deliver innovative and exciting solutions biomedical researchers.

Job Summary

The job performs a variety of activities relating to software support and/or development. Provides analysis, design, development, debugging, and modification of computer code for end user applications, beta general releases, web pages, and production support. Troubleshoots problems using existing procedures to find a possible solution.

Responsibilities

• 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 other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.

Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Certifications:

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Preferred Qualifications

Education:

• Master’s degree in biostatistics, computer science, or other related field OR requisite job experience in statistical analysis.

Experience:

• Understanding of various common data models (OMOP, PCORnet).

• Experience with ETL tools.

• Experience working with application development and/or agile teams.

Licenses and Certifications:

• Epic Clarity Data Model certification required w/in 6 months of employment.

• Epic Cosmos Super User certification required w/in 6 months of employment.

Preferred Competencies

• 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. 

• Experience investigating data issues and working with a cross-functional team for problem resolution.

• Energized by working through complex problems.

• Intellectual curiosity.

• Salary range: $85,000-$105,000, depending on qualifications.

Working Conditions

• Remote or Hybrid (maximum 2 days/week, dependent upon projects).

Application Documents

• Resume (required)

• Cover Letter (preferred)

Job Family

Information Technology

Role Impact

Individual Contributor

Scheduled Weekly Hours

40

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Pay Rate Type

Salary

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FLSA Status

Exempt

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Pay Range

$80,000.00 - $120,000.00

The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.

Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.

Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history.A conviction does not automatically preclude University employment.Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

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