"Primarily: Base, Macro, SQL, Stat.
Procedures: A lot of data steps, sql procedures, transpose, freq, univariate, summary, means etc...
Often things are sitting behind macro's though implying frequent use of call symput and symget, addressing…"
Actually a psychologist (though in the experimental and theoretical subdivision), I've had quite some exposure to statistics at uni (Leuven, BE). The technical nature of my dissertation (psychophysical experimentation on depth perception, more specifically cue integration) lead me onto a lot of C and MATLAB programming.
That was probably what convinced my first employer to pick me up and teach me SAS and a lot more (bio)stats (Hasselt, BE) in order to convert me into a BI-consultant specialized in statistical programming for the pharmaceutical industry.
After having side-stepped into the leasing industry with their LGD modelling and Bâle-II regulations, I went back to pharma to focus on data and standardisation (CDISC), especially the define.XML part.
At the moment I'm back to programming in the Application Development group within Merck Serono's Biostatistics department, helping out whenever a project needs some extra power and developing tools to facilitate everybody's work around here.