Find & Apply For Data / Data Mining Analyst Jobs in Lawrenceville, Georgia

Company Overview:

Summit Spine and Joint Centers (SSJC) is a rapidly growing, multi-state Interventional Pain Management group practice providing integrated clinical, surgical, and imaging services. With clinic locations across Georgia, North Carolina, South Carolina, and Tennessee, our care teams include Integrated Pain Solutions in North Carolina and Savannah Pain Management in Georgia, all operating as part of the SSJC organization. As one of the largest single-specialty practices in the nation, we are committed to collaboration, high-quality patient-centered care, and supporting our teams as we continue to expand. We are seeking motivated, qualified professionals to join us in delivering exceptional care across our growing network.

Job Description Summary:

Under the general supervision of the Associate Director of Data Solutions, the Data Analyst/Engineer must demonstrate excellent communication skills, strong problem-solving abilities, and the ability to multitask in a fast-paced environment. We are seeking a full-time, self-motivated Data Analyst/Engineer who will assist with administrative and data-related tasks. This in-person position will be located at the Summit administrative building in Lawrenceville, GA.

Responsibilities:

Create and maintain data reports Collect, organize, and report on data to support business and operational decisions Assist in maintaining and updating databases and data systems Create and update dashboards Identify trends and patterns through data analysis Perform various other data-related functions as necessary

Education and Skills:

Bachelor's degree with a focus in STEM, Data Analytics, Finance, Business, Economics, Engineering, or a related field 1 year of experience within data analytics / data engineering preferred Familiarity with Microsoft Office, SQL, PowerBI, Tableau, etc. Excellent written and verbal communication skills Ability to work independently and in a team environment Basic knowledge of data analysis concepts and tools required