Business Intelligence & Analytics Analyst

The University of Chicago biomedical enterprise houses three entities: the Biological Sciences Division (BSD), the University of Chicago Medicine (UCM), and the Pritzker School of Medicine. Collectively called UCM, we are one of the nation's leading academic medical institutions and have been at the forefront of discovery, education, and clinical care since 1927. Located 20 minutes south of downtown Chicago, our Hyde Park main campus provides a single environment for learning, world-renowned basic science and clinical research, and outstanding clinical care.

About the Department

The BSD is the largest academic unit within the University, comprising faculty from ten basic science departments, 13 clinical departments, and several centers and institutes. Approximately 1,300 faculty and 3,000 staff members collaborate across the organization to achieve the following mission, vision, and values:

• Mission: As part of the University of Chicago, we pursue globally impactful solutions to seemingly unsolvable challenges. Through rigorous research, innovative education, and comprehensive care and healing, we collaborate on life-changing advancements that create meaningful results for our community and the world, including a greater, more equitable future for all.
• Vision: Together, we elevate the human experience with knowledge and health care.
• Values:
  • Commit to Excellence: We contribute our exceptional talents to all we do and empower the same spirit of excellence in others.
  • Embrace Curiosity: We stay open to new ideas, champion diverse perspectives, and drive a culture of thoughtful risk-taking to deliver transformative innovation.
  • Embody Equity: We identify systemic issues and then foster change to drive a more equitable environment inclusive of diverse people, ideas, and fields of science.
  • Grow Together: We meaningfully collaborate with one another to create something bigger than we could ever achieve alone.
  • Make a Difference: We lead with heart and compassion in all our interactions. We create positive change in our areas of influence, whether expanding scientific inquiry, developing the next generation of leaders, or healing our community.
  • Take Ownership: We accomplish what we say we will and hold ourselves and one another accountable for our actions.

About the Role

The Business Intelligence & Analytics Analyst designs, develops, and supports data integration, data modeling, and business intelligence solutions that enable enterprise reporting and analytics. This role is responsible for building and maintaining ETL processes, database objects, and reporting data structures; ensuring data quality and security; and supporting BI applications and users across academic, administrative, and clinical areas.

Responsibilities

• Design, develop, test, and maintain ETL/ELT processes for enterprise reporting and analytics.
• Design and support dimensional data models, database objects, and reporting data structures.
• Develop and optimize SQL queries, stored procedures, views, and related database components.
• Gather and translate business and reporting requirements into technical solutions.
• Create and maintain technical documentation, metadata, data definitions, and source-to-target mappings.
• Support BI reports, dashboards, and analytic applications.
• Monitor and troubleshoot ETL jobs, data issues, and BI application problems.
• Ensure data quality, integrity, security, access control, and compliance.
• Support software upgrades, testing, deployment activities, and continuous improvement efforts.
• Plans and executes requirements analysis, translating requirements into a scope document and developing reporting deliverables based on the design.
• Works with users to ensure deliverables meet or exceed expectations. Provides support and communicates issues to users as defined by IT standards.
• Monitors access control and troubleshoots BI and analytic applications.
• Performs other related work as needed.

Requirements

• Minimum requirements include a college or university degree in a related field.
• Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Qualifications

• Bachelor’s degree in computer science, information systems, data science, engineering, business analytics, healthcare analytics, or a related analytical or STEM field strongly preferred.
• 2-5 years of professional experience in data engineering, analytics engineering, business intelligence, healthcare analytics, or related technical roles strongly preferred.
• Demonstrated experience writing optimized SQL queries, stored procedures, and data transformation logic strongly preferred.
• Demonstrated experience working with large and complex datasets across multiple enterprise systems strongly preferred.
• Experience supporting analytics reporting, automated workflows, or ETL/data integration processes strongly preferred.

Skills

• Proficient in Microsoft SQL, business analytics and reporting tools such as Power BI and Tableau, and ETL tools such as Microsoft Integration Services.
• Familiar with data warehousing concepts, such as Kimball's techniques regarding dimensional modeling.
• Demonstrated ability to communicate effectively with both technical and non-technical stakeholders.
• Ability to manage multiple projects and priorities in a fast-paced and evolving environment.
• Ability to handle sensitive and confidential information in accordance with organizational privacy and security standards.
• Strong verbal, written, and interpersonal communication skills.

Working Conditions

Office environment.

Pay

Pay range: $70,000.00 - $110,000.00

Benefits

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.