Based on the feature description and the task, the objective is to analyze how the "job" feature relates to whether a person receives a credit or not.

To perform this analysis, we can examine the distribution of the "job" feature for each target class.

Here is the dictionary representing the relationship between the "job" feature and the target variable:

```json
{
	"yes": ["skilled", "high qualif/self emp/mgmt"],
	"no": ["unskilled resident", "unemp/unskilled non res"]
}
```

This means that individuals with skilled or high qualif/self emp/mgmt jobs are more likely to receive credit, while individuals with unskilled resident or unemp/unskilled non res jobs are less likely to receive credit.

Note that we excluded any hard-to-predict job categories from the dictionary, as mentioned in the task.