>> I think it's the fact that just working with big data, working with the raw data
in the financials because the way I look at it and the way I interpret it is
that working at FP&A is very abstract.
You know, when you get that raw data, you know,
10 different people can see it 10 different ways.
So it's up to, you know, a good analyst to kind of, you know, take that dataset and put it
into a meaningful report that management can use to make business decisions off of and then
from that, you know, do some forecasting for what the full year will look like.
I would say the biggest challenge is probably overcoming a lot of mistakes you make in FP&A
because you don't want to, you know, once you make a mistake,
you tend to doubt yourself, you know, afterwards, right?
So you make one mistake and then you kind of have hesitation moving forward.
So I think that's the big...
that's one of the biggest hurdles to get over because, I mean, I've worked in [inaudible]
for 5 years, and I've made my share of mistakes.
So the important thing for me was to kind of get over than hump and, you know,
still have confidence in myself and in my ability to perform the task that's handed out.