Business Intelligence Engineer: 6 Comprehensive Aspects

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Written By AndrewPerry

Founded in 2015 by a group of passionate legal professionals and enthusiasts, FlowingLaw started as a small blog. Today, it's a thriving community where ideas, expertise, and legal advice flow freely.





Business Intelligence Engineer work with analysts and business data engineers to create the reports, statistical models, and visualizations needed for strategic decision making. Engineer work with Analysts and Business Data Engineers to transform raw data into actionable and meaningful insights that can be used to create KPIs (Key Performance indicators). They also manage the BI (Business Intelligence), tools, and their strategic implementation.

Intelligence Engineers are also a key contributor to business growth. They make informed Business Decisions, assist in Financial Planning, improve the Customer Experience, and help with financial planning. This is a great career choice for professionals looking to show their business knowledge. This sector is both rewarding and lucrative.

Business Intelligence Engineer Need to Have a Skill Set

Each field requires a certain set of skills. Intelligence Engineers must have the following skills:

  • Data Analysis
  • The basics of BI tools
  • Problem Solving
  • Communication skills
  • Debugging Skills
  • Business Acumen

1) Data Analysis

Business Intelligence Engineer focus on leveraging data to make better judgements. They need to be able to analyze a wide range of data sources and draw reliable conclusions. Expertise in Data Analysis is essential for Data Modelling and Warehouse Designs.

2) Understanding BI Tools by Business Intelligence Engineer

Business Intelligence Engineer need to have prior experience in the design and configuration of customer BI (Business Intelligence). They must have a deep understanding of the various BI tools as well as their underlying infrastructure. They will need to be proficient in Python scripting language and Data Visualization frameworks, which are used for custom BI products.

3) Problem Solving by Business Intelligence Engineer

Business Intelligence Engineers also have to develop business strategies and use data to solve real-world problems. They must be able visualize data correctly to create relevant KPIs. They should also be proficient at problem-solving.

4) Communication Skills

Business Intelligence Engineers need to work closely with Business Data Engineers, Business Analysts, Developers, and other professionals in order to communicate their findings. They may also be responsible for communicating the results to clients who might not be technically proficient. They need to have excellent communication skills.

5) Debugging Skills

At every stage of design, development, and maintenance, you need strong debugging skills. Every business data has its own level of complexity, such as security issues, permissions, updates and so on. Business Intelligence Engineers must have excellent Debugging Skills in order to resolve technical issues.

6) Business Acumen

Business Intelligence Engineers must have a deep understanding of the Business Model to ensure that the business gets the most value from the KPIs. They are also crucial in helping to make strategic decisions that will help the business grow. Business Acumen is a key skill that Intelligence Engineers must have.