Have a look at Data Analyst positions. It's profession on the intersection of business, IT, and analytics that has grown tremendously in the past few years due to the rapidly fallling cost to use data.
Data analyst positions vary in the type of degree they require, but a large number are fine with a business degree as long as you have the quantitative foundation and ability. A business background is definitely beneficial as the ultimate goal of undertaking the data analysis is to leverage it to drive better business decisions or to create value-adding products or tools.
I'm not aware of how much interaction you can handle, but data analysis generally requires plenty of independent work as you are cleaning data, coding, and undertaking analysis. You will need to interact with other workers however, especially in terms of communicating your findings. How tolerant they are of a lack of social interaction will be firm-specific, so you will need to interview and see what you are comfortable with. It is likely that firms will be more lenient in this regard if you are working in the more technical or machine learning heavy roles: however, you will generally need a masters or phd to apply to these roles.
If you want a non-degree way of supplementing your business degree, you can watch Andrew Ng's machine learning videos on coursera or participating in Kaggle competitions. However, these are not a necessity for the more business (less technical) data focused roles.