Coating formulation design often demands numerous experiments, expertise, and prior knowledge. The formulation is a multi-component system; each component should be present in precise quantity so that it will provide appropriate significance – a functionality. Often, these functionalities have counter effects; one functionality is compromised while achieving another functionality. To achieve juxtaposing benefits, the optimum formulation should be designed. In the present study, a hydrophobic silica-alumina hybrid coating formulation is designed by data-driven approach with minimum number of experiments. We have determined the effect of concentration of nanoparticles, polytetrafluoroethylene (PTFE) polymer percentage and speed of spin coating (rpm) on different characteristics of the coating. These different characteristics include contact angle, roll off angle, scratch hardness, adhesion, and thickness. Three by three full factorial design of experiment was performed. Correlation between each parameter with every coating characteristics was determined by Spearman's rank correlation. Statistical analysis concluded that, nanoparticles majorly contributed for hydrophobicity elevating the contact angle and reducing the roll off angle. Whereas, PTFE and rpm contributed for the adhesion and thickness. Finally, a coating formulation was determined for higher contact angle, lower roll of angle and improved mechanical properties.