So originally I was a student at BYU, I got an MISM there and then actually headed over to the University of Utah. Originally, I wanted to get a Ph.D. with an emphasis in information systems, I decided that wasn't for me all the research was tedious but the research was awful. So I decided to go into industry instead of academia and ended up at Intermountain Healthcare as a data analyst and it's been awesome, kind of moved up a little bit became an analytics engineer and I'm on a specialized team now focused on all data analysts and the tools that we use. So it's been a pretty fascinating turn for me and really rewarding, I've really enjoyed it.

So responsibilities are a lot around strategy for analytics with Intermountain what BI tools do we want to use and how do we want to move forward as an Enterprise Analytics organization? What's the best approach to individual projects as well? So one of the big projects that we have right now is what's called the Executive Dashboard. Our team handles all the data gathering, creation and visualization for our executive leadership team on a monthly basis that will also go to our board of directors as well as new requirements this year to go to every leader within Intermountain so think of every manager on up so it's kind of a big responsibility for us. It was super stressful, but luckily we're kind of in maintenance mode now. In terms of the weekly hours, we have a flexible schedule, so we'll actually go down to a Provo office on Monday, Tuesday, Wednesday, Thursday, we will spend time at what's called our parkway office, and then the expectation is on Fridays we get to work from home. My manager's on a workgroup that actually will expand that, and potentially we could work from home two days a week, so lots of telecommuting involved.

The main tools for us as data analysts, in general, think of Tableau, Cognos, Power BI just the General BI tools, SQL, we use Oracle SQL here with our Enterprise Data warehouse so you'll see a lot of data polls with SQL developer or what's called Toad. So general analysis, things like that, you'll see a lot of other analysts use R, Python a lot of data mining packages, things like that. In terms of preference for tools, I really like tableau and the flexibility and the customization that it allows. A lot of people push for us to have Power BI but what we see is that there's not a whole lot differentiation when we've invested so much in tableau. So we say, in terms of strategy it doesn't really make sense to have two tools doing the same thing and that's part of the job that we have of like what is the strategy moving forward with the tools that we have and the scope and their overlap, etcetera?