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Background: Finerenone is associated with a lower, yet clinically relevant, risk of hyperkalemia compared with steroidal mineralocorticoid receptor antagonists in diabetic kidney disease (DKD) trials. However, real-world data on hyperkalemia and its associated factors are lacking. Methodology: FINE-TURK is a national, observational cohort of DKD patients who were initiated on finerenone. Eligible adults were included; demographic, clinical, and laboratory data were evaluated. The primary outcome (PO) was hyperkalemia risk signal (potassium ≥ 5.0 mEq/L), and the secondary outcome (SO) was clinically meaningful hyperkalemia (potassium ≥ 5.5 mEq/L). Multivariate logistic regression (LR) was used to define features associated with both PO and SO. LR, random forest (RF), gradient boosting, and CatBoost classifiers were used to define important features associated with the PO. Results: 699 patients were included. 259 (37.1%) reached the PO, and 51 (7.3%) reached the SO. Baseline potassium and estimated glomerular filtration rate (eGFR) were the most important variables associated with both outcomes and were consistently identified as the top features across all models. Thiazide use, presence of diabetic retinopathy, and diabetes duration were also associated with the PO. LR demonstrated the highest recall; random forest achieved the highest precision in performance. Discussion: Real-world data suggest that the risk of clinically meaningful hyperkalemia is similar to that in the clinical trials. In parallel with the safety analysis of clinical trials, baseline potassium and eGFR were consistently the most important factors associated with hyperkalemia risk.