Before you become a professional data jerk (like myself) people tell you 80% of the job is data scraping, cleaning, organizing, piping etc. And the last 20% is the analysis and stats (or predictive whosiwhatsits). They're lying. Its 85% cleaning, organizing etc, 5% doing "real" stats and 10% convincing people you're not lying. This site seems to nicely outline many of the tasks that fall outside of the "fun" 5%.
I love your breakdown, especially the 10%, so sadly true. But is it right? is the question I get asked a lot, and its a tough one to answer without getting into all the intricacies of what you actually did to the data to get it into a form where you could answer the question asked.
