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Description
Virtual Clinical Quality Data Analyst | AdventHealth Corporate Location Address: Virtual - local to Central Florida Top Reasons to Work at AdventHealth Corporate- Great benefits
- Immediate Health Insurance Coverage
- Career growth and advancement potential
- Full-Time, Monday - Friday
- Knowledge of common analytical methods such as profiling customer segments, data modeling, and concepts of regression analysis
- Proficiency in performing data analytics; ability to effectively apply analytical and quantitative skills to solving problems
- Ability to use knowledge and understanding of data, data systems, and statistical software applications, clinical and other information generated by numerous sources to identify opportunities to improve clinical and financial program performance
- Working knowledge of healthcare or insurance accounting methods and reporting, standards development, utilization measurements, risk segmentation, and financial modeling
- Proficiency with Microsoft Access, Excel, Power Point and Word
- Proficiency with relational databases (e.g., Access, Oracle, MySQL, etc.)
- Proficiency with statistical software (e.g., SAS, R, SPSS, etc.)
- Proficiency with computer programming languages (e.g., C, Java, PHP, Python, etc.)
- Ability to conduct oneself professionally, maintain confidence, confidentiality and objectivity
- Ability to relate operational and financial performance in the healthcare environment
- Ability to learn quickly and work with minimal supervision
- Ability to efficiently manage multiple work streams, clients and analyses
- Effective oral and written communication skills, with the ability to articulate complex information in understandable terms to all levels of staff
- Bachelor's degree in Science or Healthcare related field OR at least five years of equivalent experience
- A minimum of two years of experience in a healthcare setting, computer science, or operational support/analysis OR a Master's degree in Analytics or related field
- Technical experience in utilizing software tools and applications
- Experience with statistical applications like SAS, SPSS or R
- Experience with relational databases like Access, Oracle, MySQL, etc.
- Experience with computer programming languages (e.g., C, Java, PHP, Python, etc.