Yeah. So I guess I'll start just a college. Um, So I started at the University of Akron, and I was actually there to be a chemical engineering student. I did that for the first year and a half. Um, is kind of everything I expected it to be Science heavy, math, heavy. But I actually ended up. I guess one of the first incidents was my when my calculus teacher is actually I was in, like, killed three on. He mentioned that they had this five year program that was a bachelor's and a master's that you could pair together. Um, a bachelor's of applied math with a bunch of different choices of a master's degree. Um, and I realized pretty quickly with the engineering that I felt personally like, it was a lot of memorization. I didn't get a much of, like the back story on how they got to certain equations and things like that. And I just wasn't feeling his passion about it. And suddenly I realized, you know, I'd always been good at math. I'd liked it, but I've kind of gone more the science route so suddenly, I was like, You know what? I'm going to switch this five year program. I'm going to focus more on the math side, end up choosing to do the program where both my bachelors and Masters was in applied math, but throughout my time doing that switch. So I did five years to get the two degrees, but I still kind of kept my math stuff aligned with science. So even my, um, thesis was on, like corrosion rates of metal and how to model that. So it's kind of funny thinking that I ended up after that running into search Discovery, my company now at a career fair, and they were actually one of the only companies that had, like, math degree is one of the things they were looking for in a candidate because I had gone and talked to a bunch of these engineering companies saying, You know, I've started as an engineer, kept up with a lot of science stuff, but technically my degree is math and they weren't very interested, and I was kind of crushed because I thought that was my comfort zone. That's what I was going to go into. You know, I had the skills, but because I didn't have engineering as my actual degree title. They didn't really care. Um, so luckily, search Discovery interviewed with them, and I found out that they were a digital analytics, kind of like Web analytics marketing sort of consulting firm. Um, and I had no idea about marketing or Web analytics or anything, but I really liked the sound of the company. I really like that. I would get to be kind of in a consulting role where I would get to work with people across different industries. And so I ended up going for it. I got the job I started. Um, and I loved it. Andi, that's kind of how I got to where I am today, just using those problem solving skills from my math degree and really just focusing on being adaptable and continually learning as my job gave me new opportunities.

mainly as an analyst. Right now, my focus is more on, like Web data still, But in general, if we were to kind of back up and not care about the subject of, like, maybe what I was looking at each day, it really is Thio. Help my clients answer business questions that they have. Eso doesn't really matter the topic as long as they have the data. It's my job to kind of one elicit the right question from them. Understand? They may have in an email typed, Hey, I want to know the conversion rate of someone filling out this form. Well, it's like, Okay, that's great. But maybe it's more of a conversation of what's the goal of your website? What is the business impact you're trying to drive? Are you on Lee caring about the conversion on this form? Or do we need toe? Look at slightly different metrics here s oh, really? Getting to the root of what they're trying to understand is a big part of my job to actually looking at the data and analyzing to answer that question, making sure the data is trustworthy and that you know what I say A number represents is really what it represents. So that is a lot of what I dio is double checking, triple checking, making sure. Yeah, that exact calculation that's done is truthful. And then I think the third thing would be being able to present what you find back to your client. Like So you take it from business context. You go look at the technical numbers and kind of the nitty gritty things, and then you have to make that self editing of deciding. What do I need to show them? And how do I need to explain this to answer what they actually cared about, Um, and then weekly work hours. So we work 40 hours a week, but it's a little interesting with my job because I work with multiple clients. They don't all get equal amounts of my time, so it depends on my forecast for those projects. So it's kind of like a puzzle of one of my forecasted, like, what do I used to get the task done? And then how does that fit into my 40 hour work week? I mean, it's it's normal to go over maybe a little bit here and there, but I would say for my company, it's pretty close to exactly 40 every week,

so for me specifically, Um And I would say any web data analyst you're gonna use Adobe analytics. Um, you'd be using Google analytics. So I focus more on Adobe. That just happens to be kind of what my client work has been over the past couple of years. But Google analytics would be really, really common to for a position like mine. Um, another big one for me right now, actually, on a certain client is being able to use equal to pull data from their database, um, to get, you know, the right values I need in the right form to do my analysis and then kind of once I get out of their database using sequel, um, it may be joining more files from different sources using are doing some calculation and are. But a lot of times you can kind of rangel those tables with our and then you come out with an excel sheet and then in excel, actually a good way to do some of your visuals. Because in the end, we end up delivering an analysis, usually in a power point or something very readable. Sometimes we'll design a dashboard, so within those first tools I mentioned, like Google Analytics or Adobe Analytics. Sometimes they'll want a dashboard that they can interact with themselves. So that last piece is really can I design a dashboard they can clearly use and answers their questions again? Or how am I getting my data visualized and put in a power point so that it's something nice and understandable for them? A swell. So I would say that's kind of like the progression of tools and skills.