Data analytics, data science. What is the difference in vacancies?

Question

Career in IT

Dear toasters, good afternoon.
Need your advice.
A friend works at a bank in machine learning and data analysis. He told me about his work - my eyes lit up. And here, I look, at the hh internship of a data analyst, data sciense:
"... What skills will we pump: - Analysis of
large data arrays: their transformation, clustering, forecasting and identifying patterns, -
Working with data: designing and developing data warehouses, configured, testing and maintenance of technical solutions for data analysis and processing
-Working with business processes: their description and automation,
-Working in a team with engineers, developers and other specialists when implementing products for customers..."
Well, I think it's very cool, I really want to, I get a test task. Here they send me a detailed description of the internship:
"... Intern - software engineer in the analytical solutions group of the business solutions department
Main responsibilities: -
Performing the functions of an engineer in projects for the creation and implementation of data analysis and processing solutions.
- Installation, configuration, testing and maintenance technical solutions based on the platform Polimatica, Microsoft SQL Server, ELK and other software products
-Design and development of data warehouses
-Development of integration mechanisms
-Development of program code for implemented software platforms (SQL, T-SQL, etc.)
— Participation in the development of project technical documentation: Terms of Reference, Technical Solution, Test Program and Methods, User Instructions.
—Interaction with engineers (including representatives of Partners/Customers), analysts, developers and other specialists in related fields on the solution implementation project.
Everything above is not something that a specialist should already be able to do. This is what he will need to do during the internship, when he "joins"
Requirements for the candidate:
Required:
- Experience with one of the relational DBMS (MS SQL, PostgreSQL, MySQL, etc.).
- Knowledge of the SQL language.
- Good understanding of the principles and skills of designing relational databases. ..."
And then I realize that this is a different job. Showing to a friend. He, they say, yes, is something between a database architect and a devopser, a data engineer. This is not my pro.
Do you have the opportunity, let's talk, to briefly explain what the difference is and what it is eaten with? Thanks