Operational Data Analyst
About The Position
The Operations Data Analyst handles data analysis requests and supports internal Operations Teams. The role researches processing metrics and exception reduction, and provides quality-control and cost-reduction insights. The team works with Operations, Development, and External Client Teams to define and implement improvements to day-to-day processing of volume. The analyst provides long-term reporting, team metrics, and quality-control insights; researches production-processing efficiency improvements; creates, tests, and maintains SQL stored procedures and a unit-test environment; and works with proprietary software to build, test, and deploy internal document-extraction methods. The role also involves collecting datasets for new machine-learning processes, labeling and refining datasets to fine-tune machine-learning methods, and managing and resolving data-extraction inconsistencies according to client standards. Other duties may be assigned. This role is not currently sponsoring visas. Applicants are subject to a drug screen and background check per company policies.
Requirements
- 1–3 years of SQL and Python experience.
- Data analytics/mining skills.
- Experience with version control such as GIT or CVS.
- Proficiency in the Microsoft Office Suite.
- Problem-solving skills.
- Excellent verbal and written communication skills.
- Excellent organizational skills and attention to detail.
- Ability to multitask, prioritize, and manage time effectively.
- A bachelor's degree in a technical field is not required.
Nice To Haves
- Experience with Jira or similar ticket tools.
- Experience with query performance tuning.
- Experience troubleshooting in a live production environment.
- Experience with large datasets.
- Experience with high-volume, fast-turnaround work.
- Understanding of healthcare claims and payments revenue cycle is strongly desired.
- A bachelor's degree in a technical field is preferred.
Responsibilities
- Provide long-term reporting, team metrics, and quality-control insight using tools such as Microsoft SQL Server, Sisense, Excel, and Python.
- Research and develop suggested improvements for production-processing efficiency.
- Create, test, and maintain SQL stored procedures alongside a unit-test environment.
- Build, test, and deploy internal document-extraction methods using proprietary software.
- Collect datasets for the creation of new machine-learning processes.
- Label data and refine datasets to fine-tune current and future machine-learning methods.
- Manage and resolve data-extraction inconsistencies according to client standards.
- Perform other duties and responsibilities as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
