Distinguishing between these two roles is a big problem on the minds of many analysts who are new to data or people who want to enter this field. So let’s start explaining this difference.

Data analysts and business analysts both work with data. But the difference is what they do with it. They both work with numbers, and in some organizations these roles are used interchangeably.

In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.

He is responsible for gathering data from various sources, extracting useful insights and insights needed by the business, and visualizing his findings in easy-to-read tables and interactive dashboards. For a data analyst who analyzes data and communicates information to interested users whose job is to take that data and act on it, that’s their endpoint. In other words, this role is an artistic one. While the business analyst is a strategic role.

Business Analyst

On the contrary, a business analyst uses the results of data analysis; To make strategic business decisions. For business analysts, data is a means to an end. The business analyst is most concerned about the business implications of relying on data and procedures. For example, should the company invest more in one project over another based on the data we know? Business analysts will benefit from the work of the data analysis teams to come up with an answer to this question. In general, business analysts work more collaboratively than data analysts with multiple departments and teams.

The Business Analyst is there to determine exactly what a business needs, what problems it faces and how to improve its operations to increase its efficiency and improve its product line.

What are the requirements and skills for both?

We looked at job postings on a site like Glassdoor, in fact and found that the most common requirements – but not limited to – are as follows:

Business Analyst

• Experience with agile practices
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• [English] خبرة في In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.

In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.

• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.
• In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.

In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.

In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.

In contrast, the primary goal of data analysts is to extract data from multiple sources, interpret, cleanse and model the data to discover and extract useful information that a business may need in order to make insightful decisions.