Business Intelligence Analyst: Job Description

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ByMindquest

Published08 September 2022at09:10, updated on08 September 2022at09:41

Business Intelligence Analyst: Job Description cover

The job of Business Intelligence (BI) analyst is one of the most sought-after positions by IT employers, as this professional plays a key role within an organization. He or she is responsible for collecting data, analyzing it and transforming it into decision-making tools.


Also discover the differences between Big Data and Business Intelligence


Business Intelligence Analyst: the Job

Project definition and needs analysis

When the BI analyst starts a new mission, his or her first task is to define the needs and constraints of the company’s various stakeholders (production team, users). They are also responsible for planning and estimating project costs.

Defining the data warehouse architecture

The Business Intelligence Analyst must then model the data warehouse and data marts dedicated to a particular function of the company. They must also define the data storage and structuring solutions, determine the data acquisition and extraction tools, and finally implement the best technical solutions to handle these large volumes of data.

Accompany the client in the implementation of the project

The BI Analyst then configures the analysis and reporting tools. He or she then restores the data and trains users through reports. Presents the data according to the user’s needs and trains the user to use the decision-making tools.


Also read our IT Business Analyst Job Description


Required skills of the Business Intelligence Analyst

Dual technical and functional skills

The Business Intelligence expert must be familiar with database tools. These include Microsoft, SQL Server, Reporting Services, and Analysis Services. They must also master some BI tools, such as Business Object, Cognos, Hyperion and SAAS. They must also be familiar with database management systems (DMS).

Interpersonal skills

The Business Intelligence expert is in contact with different kinds of people, such as business specialists, company management, development teams, IT production, and others. They must therefore possess good interpersonal skills.

Synthesis and analysis skills

They must be able to synthesize to have an overall view of the results to be achieved. They must also be good analysts. Finally, they provide their stakeholders with elements that enable them to make choices based on the expected ROI (return on investment) and their urgencies.

Disclosure of technical subjects

The subjects on which the Business Intelligence Analyst work can sometimes be complicated. They must therefore be able to explain them in simple terms so that all their stakeholders can consider the technical issues of IT.

Context

Already widely used in large companies, Business Intelligence is becoming increasingly important in SMEs. Today everyone is aware of the importance of taking into account data related to Internet activities.

The BI Analyst is hierarchically linked to the director of studies, information systems, programs, IS professions, the project manager, or the head of a functional department in the company.

In large companies, his or her duties may vary depending on the hierarchical level.

Salary

The Business Intelligence Analyst may have previously worked in professions such as IT project manager, technical architect, or I.S.
He or she can professionally progress towards training functions or towards management by becoming a project manager.

The average daily rate of a BI Analyst is between 500€ and 600€. It varies according to the size of the project, the level of responsibility, and the type of expertise.

Education and training

In conclusion, to become a BI Analyst, you need to have completed a five-year degree in the digital and IT sectors.

University courses such as a Master’s degree in project management, computer science, statistics, mathematics, and others or an engineering school in computer science, telecoms, or a generalist field can lead to this job.

Despite the success of business intelligence solutions, do you know the main reasons why most projects fail at some point in their implementation?

Here is a list of 8 mistakes to avoid when it comes to Business Intelligence

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