This study aims to influence the Influence of Workload on Employee Performance with Job Satisfaction as an Intervention Variable at PT Data Prima Solusi using a quantitative approach. Data were collected through questionnaires distributed to 63 employees at PT Data Prima Solusi and analyzed using Smart PLS software to test validity, reliability, and relationships between variables. The analysis shows that workload significantly influences employee job satisfaction, with a coefficient value of 0.575 and a p-value of 0.000 (p <0.05), workload also has a direct significant influence on employee performance, with a coefficient of 0.514 and a p-value of 0.000, however, job satisfaction does not significantly influence employee performance (coefficient 0.138, p-value 0.385) and does not mediate the influence of workload on performance (coefficient 0.079, p-value 0.474). The results of this study suggest that management should routinely evaluate workload distribution, improve communication between superiors and subordinates, and foster a culture of collaboration to create a harmonious environment. These findings are expected to inform recommendations for workload management and improving employee satisfaction and performance within the company