A Journey Into the World of Business Intelligence Engineer Role

Learn Everything About The Role of A Business Intelligence Engineer, Including Responsibilities, Skills, and Career Outlook. | ProjectPro

A Journey Into the World of Business Intelligence Engineer Role
 |  BY Daivi

Want to know who is a business intelligence engineer, what does a business intelligence engineer do, and how these BI engineers turn mountains of data into actionable insights? Join us on a thrilling exploration of the critical Business Intelligence Engineer job role and its impact on the modern business landscape in the big data world. 


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The business intelligence sector has shown incredible growth over the last few years, and this trend is likely to continue as more companies lay an emphasis on data-driven decision-making. According to Fortune Business Insights, the global market for business intelligence is likely to grow at a CAGR of 8.7% to reach $43.03 billion in 2028. This growth indicates that the field of business intelligence has a lot of career prospects. It is one of the most in-demand professions worldwide due to the integration of technical and business disciplines, which places it on the cutting edge of businesses' digital transformation. Multiple career options are available in the business intelligence domain- BI analysts, BI engineers, BI developers, etc. This blog gives you an overview of the role of a business intelligence engineer, right from the key roles and responsibilities and skills to the salary and job outlook of BI Engineers.

What is a Business Intelligence Engineer?

A business intelligence engineer is a professional who designs, develops, and maintains various BI systems and technologies like data warehouses, dashboards, and various reporting systems to help organizations unleash the power of data for informed decision-making, stay competitive, and achieve their strategic objectives. They are the data wizards who leverage their business acumen and technical skills to turn data into knowledge and drive business success.

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What Does a Business Intelligence Engineer Do?

A business intelligence engineer works collaboratively with BI developers and analysts. Their key responsibility is to transfer data into an infrastructure that analysts can access to gain insights. They are involved in programming, creating ETL pipelines for production and other applications, creating and implementing reporting and analytics solutions, etc. Some of the major responsibilities of a BI engineer are-

  • Design and implement data marts, data warehouses, and other BI systems for storing and managing data effectively. 

  • Integrate data from multiple sources and ensure data quality, consistency, and accuracy. 

  • Work with customers and business analysts to decide what data needs to be reported and analyzed for business purposes.

  • Assist in creating business reports for internal and external clients to make business decisions.

  • Help database administrators and developers create data warehousing solutions for business information, reporting, and analytics.

  • Participate in data warehouse system administration, modeling, and integration tasks.

  • Use business intelligence tools to achieve your data reporting and analysis objectives.

  • Work together with the business units and cross-functional teams to determine any additional data needs, analysis techniques, and reporting procedures.

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Business Intelligence Engineer Skills

Business intelligence engineers employ their technical expertise to create and implement data warehouses, ETL procedures, and data mining models. In addition, they employ their analytical abilities to analyze data and produce dashboards and reports. You need both technical and analytical expertise if you want to work as a business intelligence engineer. Some of the specific skills of a BI engineer include the following-

Good dashboard design and implementation skills help BI engineers clearly communicate valuable business insights to stakeholders. Dashboards designed by BI engineers improve data interpretation and enhance business decision-making by providing quick access to important information for better decision-making.

With OLAP software, users can perform various types of data analysis. To build reports and dashboards, business intelligence engineers often use OLAP tools. Using these tools, you can create more useful reports for the company stakeholders.

Business intelligence engineers can generate data visualizations using Qlikview. It's crucial that these professionals understand how to use this tool because it can assist them in creating informative and interesting dashboards. They might also be expected to train others on how to use the software; thus, being able to do so effectively might be useful.

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It's crucial for business intelligence engineers to understand how to store and organize vast amounts of data because they typically work with it. Data warehousing entails building a database that many users can access simultaneously. It also involves ensuring the data is secure and protected.

Data modeling involves creating a blueprint of the data structure and the relationships between various data elements. BI engineers need to know data modeling to build a data architecture that supports easy and quick data retrieval and analysis, which is key to reporting. Having strong data modeling skills helps business intelligence engineers identify potential data quality issues or performance bottlenecks within the data pipeline.

Business intelligence engineers assess data and determine how to utilize it with their analytical skills. They examine the data's origin, reliability, and other factors affecting its application. 

Business Intelligence Engineer Salary

In the USA, a business intelligence engineer has an average yearly income of $117,500. Most experienced professionals earn up to $143,700 annually, while entry-level roles start at $97,500.

In India, a business intelligence engineer has an average yearly pay of ₹16,00,000. The starting salary for entry-level professionals is ₹4,40,000 annually, while the average yearly salary for experienced professionals is ₹32,30,000.

Business Intelligence Engineer Jobs

A career in business intelligence is not only in high demand, but it is also thrilling and dynamic and provides numerous prospects for personal growth. With the increasing demand for big data and data analytics, companies are looking for individuals with the right skill set and expertise to handle vast amounts of data and produce valuable insights for better decision-making. There are over 41,000+ Business Intelligence Engineer jobs in the United States and over 6000 BI Engineer jobs in India. With the growing use of big data in the industry, these numbers will likely rise in the next few years.

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Business Intelligence Engineer Job Description

Before you decide to pursue a career in Business Intelligence, it’s important to get a clear idea of what a Business Intelligence engineer job description looks like, the necessary skills, day-to-day responsibilities, etc. Here’s a business intelligence engineer amazon job description sample-

Business Intelligence Engineer Job Description

Business Intelligence Engineer vs. Data Scientist

BI Engineer and Data Scientist are two completely different job roles but complement each other very well.  Business intelligence engineers focus on the practical implementations of data-driven solutions, while data scientists focus on data's discovery-driven and analytical aspects. A BI engineer is responsible for designing and building dashboards and reports for end-users while a data scientist is responsible for building models to solve complex business problems and support decision-making.

Business Intelligence Engineer vs. Data Engineer

BI Engineers focus on providing actionable business insights from data and making it accessible to end users, while a data engineer is responsible for designing, building, and maintaining the underlying infrastructure for storing and processing data. A BI engineer is to data accessibility and usability, while a data engineer is to data quality and consistency.

With the increasing demand for data-driven insights, the role of a BI Engineer will only continue to grow in importance. Now that you have a clear understanding of what the role of a BI engineer looks like, it’s time for you to enhance the skills and knowledge required for this role. And the best way to do so is to gain hands-on experience by working on business intelligence projects. ProjectPro offers over 250 Big Data and Data Science projects that will help you strengthen your business intelligence skills, such as data analysis, data visualization, and many more.

 

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About the Author

Daivi

Daivi is a highly skilled Technical Content Analyst with over a year of experience at ProjectPro. She is passionate about exploring various technology domains and enjoys staying up-to-date with industry trends and developments. Daivi is known for her excellent research skills and ability to distill

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