Business Intelligence (BI) Analyst
A BI analyst is a person who interprets different types of data to find useful information and create regular reports that help the organization make decisions. The BI analyst uses specific tools to find trends and anomalies and to improve the organization’s performance.
Salary
The salary of a BI analyst can vary depending on experience and working conditions.
Working hours
40 hours per week
Remote work
Yes, at least partially, depending on the employer
Types of employers
A BI analyst can work in Romania in different ways:
Employed in a private company, in different fields (banking, IT, retail, etc.)
Employed in a consulting firm
Employed in a financial institution
Employed in a public institution
Responsibilities
Analyze different data sets to find trends, patterns, or issues and find ways to improve performance
Collect and check data for accuracy and completeness
Create reports and interactive data visualizations that can be understood and used internally and externally
Automate data collection and analysis processes to increase efficiency
Extract insights from data to support decision-making
Sources: (1) + (2) + (3)
Skills
Analytical and organizational skills
Ability to analyze large amounts of data and extract useful information
Analytical thinking and the ability to study processes, identify problems, and propose solutions
Ability to adapt to changes
Communication and teamwork skills
Good verbal and written communication
Ability to work with a diverse team
Ability to present data findings in a clear and attractive way
Technical skills
Knowledge of math, statistics, logic, and management
Ability to use digital tools for data visualization
Ability to use programming languages for advanced data analysis
Sources: (1) + (2) + (3) + (4)
Qualifications
A person who wants to become a BI analyst is recommended to:
Have a university degree (bachelor’s or master’s) in one or more relevant fields, such as:
Computer Science
Mathematics or Statistics
Economics or Business Administration
Engineering
Obtain recognized qualifications in digital tools for data analysis (for example, SQL, Excel, or R)
These qualifications are often required by employers, but in some cases, it is possible to enter the job without them.
Sources: (1) + (2)
What else you can do
Participate in internships or practice programs in companies, performing data analysis tasks
Join online courses or workshops that develop skills or knowledge relevant to data analysis
Attend conferences or events in the field
Sources: (2) + (4)
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