Data Analyst vs Business Analyst
Data is what connects the Business Analyst to the Data Analyst. To understand the differences, let’s take a closer look at what Data Analysts are responsible for.
A Data Analyst’s work consists of defining, collecting, cleaning, modeling, and analyzing data of all types; often, but not always, this is done in order to identify the kinds of meaningful information that will help businesses make better decisions.
Data Analysts’ specific tasks vary wildly from industry to industry, company to company. Generally speaking, though, Data Analyst can expect to perform some of the following tasks:
- Researching to identify opportunities for growth
- Data requirement gathering to understand what information is needed
- Data collection
- Data cleaning
- Creating and applying algorithms to run automation tools
- Modeling and analyzing data to identify significant patterns and trends
- Presenting findings to other members of the organization
These tasks can be classified into four fundamental categories:
- Understanding the data
- Analyzing the data
- Building and managing databases
- Communicating the data to others
Please click here to find out more about what a Data Analyst does.
While business analysis includes a great deal of data analysis like what is described above – and may in fact be said to be predicated on data analysis – it considers a broader context for that data. A Business Analyst looks at the way that data fits into an organization’s larger operations – including aspects that aren’t necessarily captured by large sets of data, such as organizational structure or workflow protocols.
In effect, a Data Analyst is a pro at turning data into meaningful insights, while the Business Analyst sees how those insights can effectively be implemented in the real world. In fact, business analysis is singularly focused on developing actionable insights that can be applied to a business; the goal is to develop recommendations.
Business Analysts are fundamentally Consultants, making data-driven recommendations and working with measurable initiatives to monitor change and gauge success.
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