Operational Data Analyst

Responsibilities

• Provide long-term reporting, team metrics and quality control insight using tools such as Microsoft SQL Server, Sisense, Excel, Python, and more
• Research and develop suggested improvements for production processing efficiency
• Create, test, and maintain SQL stored procedures alongside a Unit Test environment
• Work with proprietary software to manage internal document extraction methods through building, testing, and deployment pipelines
• Perform dataset collection for creation of new machine learning processes
• Perform data labelling and dataset refinement to fine-tune current and future machine learning methods
• Manage and resolve data extraction inconsistencies per client standard

Qualifications

• 1-3 years SQL and Python Data Analytic/Mining skills required
• Experience with Jira or similar ticket tools preferred
• Experience with version control (GIT, CVS) preferred
• Experience with query performance tuning preferred
• Experience troubleshooting in a live production environment preferred
• Experience with large datasets preferred
• Experience with high volume and fast turnaround preferred
• Proficiency in MS Office Suite
• Understanding of Healthcare claims and payments revenue cycle strongly desired
• Problem-solving skills
• Excellent verbal and written communication skills
• Excellent organizational skills and attention to detail
• Able to multitask, prioritize, and manage time effectively
• Attention to detail