00:00What's going on, everybody? Welcome back to another video. Today, we're going to take a
00:03look at the difference between a data analyst and a business analyst.
00:12I think this one is a really good one to look at because honestly, sometimes there isn't much
00:16difference at some companies between a business analyst and a data analyst. And when people are
00:20trying to become a data analyst, I even recommend them sometimes applying to become a business
00:24analyst as well. So this is going to be a really good one to take a look at and really
00:27understand
00:28the differences between these two jobs. So let's not waste any more time. Let's jump on my screen
00:32and take a look. All right. So the first thing that we're going to take a look at is the
00:34responsibilities of a data analyst and a business analyst. Now let's get started with the data
00:39analyst. The data analyst is going to clean and analyze static data. They're going to perform
00:43statistical and exploratory analysis, create reports and visualizations, and work directly
00:48with stakeholders to make data-driven decisions. A business analyst is going to manage projects
00:53and stakeholders. They're going to translate business needs into specific actionable requirements
00:57to the team. And then they're also going to perform ad hoc analysis for clients. Ad hoc analysis is just
01:03a one-off kind of one-time thing. A client wants something to be analyzed really quickly and you go
01:07and do it for them. Now, both these positions may work directly with stakeholders and clients, but
01:12honestly, the business analyst tends to work a lot more with them. Especially if a business analyst
01:16and a data analyst are working on the same team, the business analyst is usually the more client-facing
01:21analyst. A data analyst tends to do more technical work. So they're using a lot more databases,
01:25creating reports and visualizations. Whereas a business analyst tends to not do as much of that.
01:30A business analyst's main focus is making sure that the team understands the requirements from
01:34the client. And they can also translate some of that because they should have some technical knowledge.
01:38So they can say, okay, here's what the client wants and here's how we can do it. Next,
01:42let's take a look at the technical skills needed to be a data analyst and a business analyst. For a
01:47data
01:47analyst, you're going to look at SQL, maybe a programming language like R and Python, and some specific
01:51packages and libraries that you might want to know are things like pandas, polars, numpy, and matplotlib.
01:57You're also going to need a data visualization tool like Power BI or Tableau. You'll of course need
02:01Excel and you might need a cloud platform as well, like AWS or Azure. And then lastly, you might need
02:06some type of statistical tool like SAS or SPSS. As a business analyst, you'll notice that this is a
02:11little bit shorter. They definitely need to know SQL, Excel, and maybe Tableau and Power BI. But beyond that,
02:16they don't do a lot of coding typically. So in general, a data analyst tends to be more technical
02:20than a business analyst. Now, next, we're going to take a look at the education. The education is
02:25actually fairly similar, and I'm going to pull both of these up. Now, for both of these roles,
02:29you can have a bachelor's or a master's degree, just depends on the role, but the actual degrees
02:34that you get might be different. So for a data analyst, some of the common degrees that you might
02:38get are things like statistics, mathematics, economics, computer science, business analytics,
02:43and information systems. And yes, you read that right. You could get a business analyst degree
02:47and become a data analyst. And for a business analyst, some common degrees are business
02:51administration, finance, economics, and business analytics. So just more business-focused degrees
02:56for an actual business analyst. Now let's take a look at the job titles for a data analyst and a
03:01business analyst. Let's start out with the data analyst. For the data analyst, you can see job titles
03:05like data analyst, quantitative analyst, technical analyst, and then domain-specific analysts like a
03:11healthcare or a marketing or a financial analyst. For a business analyst, you might see job titles
03:16like a business analyst, a business process analyst, a functional analyst, and then you might see ones
03:21like a product owner or a project manager. Now those are kind of reaches for those last two, and that's
03:25why I kind of put maybe because it depends on the company, but I have seen business analysts be more
03:30like a project manager or a product owner. Lastly, let's take a look at the pay between these two.
03:36For a data analyst, at the entry level, you look at 50 to 75,000. At the mid-level, 70
03:41to 90,000. And at the
03:42senior level, 80 to 120,000. For a business analyst, you're looking at anywhere from 45 to 65,000 for
03:49an entry level. At the mid-level, anywhere from 60 to 80. And then at the senior level, 80 to
03:54110,000.
03:55Now, of course, these are just averages. It definitely depends on where you live, what education you have,
04:00experience, and all those other things. But in general, these tend to be pretty accurate. Now you'll notice that the
04:05data analyst makes a little bit more than a business analyst on average, but I have seen it
04:10where a business analyst does make more than the data analyst. It really just depends on the company.
04:14So that is the difference between a business analyst and a data analyst. I've worked with a lot
04:18of business analysts. I work with a lot of data analysts. They are both great jobs. If you're
04:22looking for any unsolicited advice, if you want to be a little bit more technical, you might be going
04:26towards the data analyst path. But if you like more of the client side, if you like more of the
04:30business
04:30side of analytics, you may be looking at a business analyst. Again, both are really great jobs. They
04:35both pay really well. So with that being said, I hope that you enjoyed this video. If you did,
04:39be sure to like and subscribe, and I'll see you in the next video.
