Numeric Data Trend Identification

I'm looking for seasoned statisticians to explore a data set with profound numeric attributes. The objective is to reveal patterns or trends in the data not immediately obvious.

Candidates should have:

• Proficiency in numeric data analysis
• Ability to identify hidden patterns or trends
• Understand concepts of descriptive, inferential and time series statistics

Though not necessary, previous experience in handling large numerical datasets is valued. Descriptive and inferential statistics skills are advantageous, but not required.
THE QUESTION THAT I NEED YOU TO ANSWER BEFORE YOU REPLY:

If you have a column named "target" and two other columns named "1" and "2," you can calculate the correlation between the "target" column and each of the other two columns separately. This will give you an indication of how each of the independent variables (columns "1" and "2") is related to the dependent variable (column "target").
What if you don't want to these tow columns separately, i want to see how both these tow together correlated to the target?
I have more than 20 columns and one column named target... if i take each column separately i will not find any correlations between it and targer, but i am sure there are correlations between all of these columns together and the target or correlation between some set of them and the target.. how can i find this hidden correlation? How can you help me ... do you understand what i want?

Thanks all