Analytics Engineer I
CoxHealth
Facility CoxHealth South: 3801 S National Ave, 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) About CoxHealth CoxHealth is a leading healthcare system serving 25 counties across southwest Missouri and northern Arkansas. The organization includes six hospitals, 5 ERs, and over 80 clinics. CoxHealth has earned the following honors for workplace excellence: Named one of Modern Healthcare’s Best Places to work five times. Named one of America’s Greatest Workplaces, Greatest Workplaces in Healthcare (2025, 2026), Greatest Workplaces for Women (2023, 2024), and Greatest Workplaces for Diversity (2024) by Newsweek and Plant-A Insights Group. Acknowledged by Forbes as one of the Best Employers for New Grads. Healthcare Innovation'sTop Companies to Work for in Healthcare (2025). Benefits Medical, Vision, Dental, Retirement with Employer Match and more (20+ hrs/week) For a comprehensive list of benefits, please click here: Benefits | CoxHealth Job Description The Analytics Engineer I will be responsible for assisting in the development, testing, and implementation of business intelligence (BI), data management, and advanced analytics solutions. This includes, but is not limited to, the development of basic dashboards and analytical reports, assessing existing data sources, and contributing to data processing projects. This role requires a foundational understanding of database technologies and will work to interpret business needs into technical solutions. Education Preferred: Associate degree in Computer Science, Information Systems, Data & Analytics, or a related STEM field, or equivalent experience. Experience Preferred: 0-2 years of experience with data related to clinical, financial, or other enterprise domains Skills Strong knowledge of SQL and relational databases Experience with Python or other object-oriented programming languages Familiarity with data ingestion, transformation, and modeling Ability to design basic data visualizations and reports Basic understanding of data modeling and database concepts Strong problem-solving abilities Excellent communication and collaboration skills Detail-oriented with strong organizational skills Willingness to learn new software, systems, and technologies, including basic concepts of advanced analytics and AI #J-18808-Ljbffr
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