Operational Data Analyst

Sabai Global; Oklahoma City (OK); On-site; USD 60,000 - 80,000; Full time

Job summary

Sabai Global in Oklahoma City seeks an Operations Data Analyst responsible for supporting internal Operations Teams through data analysis. You will work closely with multiple teams to define and implement improvements for processing efficiency and quality control.

The ideal candidate will have SQL and Python experience, along with data analytic skills. Proficiency in tools like Microsoft SQL Server and Excel is preferred. This position offers opportunities to work on machine learning processes in a supportive environment.

Qualifications

• 1-3 years experience with SQL and Python.
• Data analytic and mining skills required.
• Excellent verbal and written communication skills.

Responsibilities

• Provide reporting and quality control insight using SQL and other tools.
• Research improvements for processing efficiency.
• Manage data extraction inconsistencies as per client standards.

Skills

SQL

Python

Data Analytics

MS Office Suite

Version Control (GIT, CVS)

Jira

Problem-solving

Education

Bachelor's degree in a technical field

Tools

Microsoft SQL Server

Sisense

Excel

Job description

Job 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.

Duties and 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
• Other duties and responsibilities as assigned

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)
• 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

Education/Experience

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.

Environmental Conditions

Indoor climate-controlled environment. Moderate to quiet noise level

Physical requirements

While performing the duties of this Job, the employee is regularly required to communicate verbally and in the written form. The employee is physically required to utilize a laptop and other electronic devices effectively. The employee must lift and/or move up to 20 pounds (laptop computer, bag, and accessories). Specific vision abilities required by this job include close vision and distance vision.

All applicants are subject to a drug screen and background check per company policies