SR Bus Intelligence Analyst ; E
Listed on 2026-07-24
-
IT/Tech
Data Analyst, Business Intelligence, Data Warehousing
Facility:
Primrose Place: 1115 E Primrose, Springfield, Missouri, United States of America, 65807. Department: 1676 Enterprise Data and Analytics.
Scheduled Weekly
Hours:
40
Hours:
8:00 AM - 5:00 PM
Work Shift:
Day Shift (United States of America).
The Business Intelligence Analyst position identifies, manages, and provides actionable insights related to the data and analytic needs of Cox Health such as data modeling, business analytics, and data visualization/enhancement services. It supports, influences, and challenges business decisions with data and provides timely and insightful analysis. It is responsible for the management of business analytic processes and strategies such as: data integration, operational reporting (ad‑hoc and analysis), dashboards, and data mining;
determines reporting and analytics needs for various programs and initiatives and creates customized dashboards and performance metrics/reports related to all aspects of healthcare. Collaborates with stakeholders to design, create, test, and implement analytic tools (databases, extracts, reports, dashboards, etc.) that support enterprise needs.
- Develop and maintain complex dashboards, queries, extracts, and reports using reporting tools and data sources.
- Ensure accuracy of reports and data through consistent validation checks.
- Serve as a resource for identifying potential clinical or financial performance improvement activities.
- Prepare clear, well‑organized project‑specific documentation reflecting analytic methods, key decision points, and caveats to support replication.
- Collaborate with stakeholders to design and implement analytic tools meeting enterprise needs.
- Perform other related duties as assigned.
- Required:
Bachelor’s degree in Computer Information Systems, Business Administration degree, or a related field OR 8 years’ experience in IT or Computer Science.
- Required:
Minimum of 4 years’ experience performing data analysis on clinical and financial information.
- Strong knowledge of SQL and data extraction tools.
- Experience using industry standard BI, statistical, and analytical tools and technologies such as Power BI and Business Objects.
- Working knowledge of complex database design and concepts.
- Ability to design, write, maintain, and support complex dashboards, queries, extracts, and reports utilizing various reporting tools and data sources.
- Demonstrates careful attention to detail and the ability to work independently.
- Ability to identify and communicate opportunities discovered during analysis.
- Excellent systematic problem‑solving skills.
- N/A
- Medical, Vision, Dental, Retirement with Employer Match and more (20+ hrs/week).
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