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# Operational Data Analyst

- **Company:** Revenue Management
- **Location:** Oklahoma City, OK, United States
- **Experience:** Starter
- **Salary:** $60,000.0 - $75,000.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Unit Testing, Big Data, Data Mining, Python (Programming Language), Machine Learning, Microsoft Office, Microsoft SQL Server, Operational Data Store, Proprietary Software, SQL Stored Procedures, SQL Databases, Delivery Pipeline, Git, Data Analytics, Software Version Control
- **Published:** June 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2fbbbb3b18040faf

## About the Role

* 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)
 * 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, A bachelor's degree in a technical field is not required, but preferred. More than anything, RMS is looking for people who are passionate about technology who want to develop the skills to solve hard and important problems., All applicants are subject to a drug screen and background check per company policies

## Description

The Operations Data Analyst is responsible for data analysis requests and the support of our internal Operations Teams. Responsibilities include research into processing metrics and exception reduction as well as quality control and cost-reduction insight. This team works alongside Operations, Development, and External Client Teams to define and implement improvements for the day-to-day processing of volume., * 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
 * Other duties and responsibilities as assigned


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