Business Intelligence Engineer Job Description [Updated for 2025]

In the modern business landscape, the role of Business Intelligence Engineers has become increasingly significant.

As businesses evolve, the need for professionals who can sift through, analyze, and translate data into actionable strategies has grown exponentially.

But what does it truly mean to be a Business Intelligence Engineer?

Whether you are:

• A job seeker wanting to understand the core responsibilities of this role,
• A hiring manager drafting the perfect job profile,
• Or simply curious about the world of business intelligence engineering,

You’re in the right place.

Today, we present a customizable Business Intelligence Engineer job description template, designed for effortless posting on job boards or career websites.

Let’s dive into it.

Business Intelligence Engineer Duties and Responsibilities

Business Intelligence Engineers use their skills in technology and understanding of business operations to recommend solutions to improve business decision-making.

They are involved in the design, development, and deployment of business intelligence systems and infrastructure.

They have the following duties and responsibilities:

• Collecting business intelligence data from available industry reports, public information, field reports, or purchased sources.
• Analyze and interpret complex data sets relating to the company’s operation and performance.
• Designing and implementing business intelligence tools or systems, including the selection of technologies and design of infrastructure.
• Integrate business intelligence data from various sources to provide comprehensive reporting.
• Generate and deliver business reports to management and stakeholders.
• Develop policies and procedures for the collection and analysis of data.
• Assist management in making data-driven decisions.
• Collaborate with various teams (IT, Sales, Marketing, Finance, etc.) to implement strategies and monitor outcomes.
• Ensure data quality and integrity in databases.
• Identify and troubleshoot data-related issues and support data governance initiatives.
• Perform regular maintenance/updates to existing reports and dashboards.

 

Business Intelligence Engineer Job Description Template

Job Brief

We are seeking a skilled Business Intelligence Engineer to develop and enhance our data systems.

The primary responsibilities of the Business Intelligence Engineer include designing data models, developing database systems, and optimizing the storage and retrieval of data.

Our ideal candidate has a strong understanding of business intelligence tools, machine learning, and is familiar with data warehousing concepts.

Ultimately, the role of the Business Intelligence Engineer is to design and implement systems that provide easy access to data, allowing stakeholders to make data-driven decisions.

 

Responsibilities

• Develop and manage BI solutions
• Provide reports, processes and Excel VBA applications through the application life cycle
• Collaborate with business users
• Analyse business processes and requirements
• Create and maintain documentation including requirements, design and user manuals
• Identify areas to improve system efficiency and reporting accuracy
• Understand business requirements and convert them to technical specifications
• Participate in analysis, design and architecture of business intelligence applications

 

Qualifications

• Proven work experience as a Business Intelligence Engineer or similar role
• Experience with BI technologies (e.g., Tableau, QlikView)
• In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
• Familiarity with SQL queries, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS)
• Proven abilities to take initiative and be innovative
• Analytical mind with a problem-solving aptitude
• BSc/BA in Computer Science, Engineering or relevant field

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Business Intelligence Engineer
• Work Environment: Office setting with options for remote work. Some travel may be required for team meetings or client consultations.
• Reporting Structure: Reports to the Head of Business Intelligence or Business Intelligence Manager.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $112,000 minimum to $158,000 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does a Business Intelligence Engineer Do?

Business Intelligence Engineers work primarily in corporate environments, usually as members of an organization’s IT or analytics department, though some may work as consultants for business intelligence software companies.

Their primary role involves designing and implementing business intelligence (BI) tools and systems to help businesses leverage their data and information for strategic decision-making.

This includes developing, managing and maintaining BI interfaces, like dashboards and reports, which allow businesses to extract insights from their data.

They work closely with business leaders to understand their specific needs and goals, and then translate these requirements into technical specifications for BI systems.

They also collaborate with data engineers and analysts to ensure that the BI tools they develop align with the data architecture and pipelines.

Business Intelligence Engineers are often involved in data mining, data warehouse development and management, and data modeling.

They may also be responsible for troubleshooting and debugging BI tools, as well as ensuring data quality and accuracy.

Furthermore, they conduct regular reviews and tests of BI systems to identify areas for improvement, and they keep up to date with the latest industry trends and technologies to ensure that their company’s BI capabilities remain competitive.

 

Business Intelligence Engineer Qualifications and Skills

A successful Business Intelligence Engineer should possess a unique blend of technical skills, business acumen and analytical abilities, including:

• Data analysis skills for interpreting complex data and turning it into easy-to-understand results that can drive business decisions.
• Proficiency in Business Intelligence (BI) technologies such as SQL, Tableau, Power BI, QlikView or similar tools for data modeling and visualization.
• Understanding of database architecture, data warehousing concepts, and data modeling to design and manage BI solutions.
• Strong problem-solving skills to identify, analyze, and solve problems that might impact the BI systems and applications.
• Excellent communication skills to clearly explain technical concepts to non-technical stakeholders, aiding in their comprehension of BI reports and insights.
• Project management skills to handle multiple projects simultaneously, ensuring timely delivery of all BI solutions.
• Business acumen and ability to understand business needs and translate them into BI solutions, helping in informed decision-making.

 

Business Intelligence Engineer Experience Requirements

Entry-level Business Intelligence Engineers typically have 1 to 3 years of experience, often obtained through internships or part-time roles in data analysis, programming, or a related field.

They should have hands-on experience with business intelligence tools like SQL, Tableau, or Power BI, and a strong understanding of data warehouse concepts.

Candidates with 3 to 5 years of experience often have developed their technical skills and knowledge in business intelligence, data modeling, and database design.

They usually have experience working with large datasets and are familiar with data cleaning and data mining techniques.

Those with more than 5 years of experience likely have some leadership experience and have demonstrated the ability to successfully manage projects.

They have solid experience in decision making based on data-driven insights and are often ready for more managerial or team-lead roles within the Business Intelligence field.

In all cases, a degree in Computer Science, Information Systems, or a similar field is highly desirable.

Some roles may also require knowledge of specific industries or business areas.

 

Business Intelligence Engineer Education and Training Requirements

Business Intelligence Engineers usually hold a bachelor’s degree in fields such as computer science, information systems, or a related field.

Along with this, they should have a robust understanding of databases, data analysis, and both relational and dimensional modeling.

Knowledge in programming languages like SQL and familiarity with BI technologies such as Microsoft Power BI, Oracle BI, or Tableau is also essential.

For some roles, particularly those that are more specialized or senior, employers may require a master’s degree in business intelligence, data science, or a related field.

This advanced study can provide a deeper understanding of data analysis, business operations, and decision-making strategies.

Certifications, while not always necessary, can enhance a BI Engineer’s career prospects.

These can range from certifications in specific BI tools, data visualization, or big data management.

An aptitude for problem-solving, strong analytical skills, and the ability to communicate complex ideas effectively are also highly desirable in this role.

Experience working with data warehousing and business intelligence tools, as well as understanding the data needs of a business, can also be advantageous.

Continuing education is important in this rapidly changing field, so Business Intelligence Engineers should be committed to learning and adopting new technologies and methodologies as they emerge.

 

Business Intelligence Engineer Salary Expectations

A Business Intelligence Engineer earns an average salary of $88,500 (USD) per year.

The salary can fluctuate based on factors such as years of experience, the complexity of tasks, the industry they work in, and the location of the job.

Additional bonuses and profit sharing can also contribute to total compensation.

 

Business Intelligence Engineer Job Description FAQs

What skills does a Business Intelligence Engineer need?

A Business Intelligence Engineer should have a strong background in data analysis and business acumen.

They should be proficient in BI technologies, SQL databases, and programming.

Also, they should have strong analytical skills, problem-solving abilities, and excellent communication skills to convey complex data in a clear, easy-to-understand manner.

 

Do Business Intelligence Engineers need a degree?

Typically, a bachelor’s degree in computer science, information systems, or a related field is required for a Business Intelligence Engineer role.

However, some companies might prefer candidates with a master’s degree or MBA.

Besides, relevant experience in data warehousing, business analysis, or data mining can be beneficial.

 

What should you look for in a Business Intelligence Engineer resume?

A Business Intelligence Engineer’s resume should highlight their proficiency in BI tools and technologies, knowledge of database management systems, and experience with data visualization software.

Look for specific project accomplishments that demonstrate their analytical abilities and problem-solving skills.

Certifications in BI tools like Power BI, Tableau, or Oracle BI can also be advantageous.

 

What qualities make a good Business Intelligence Engineer?

A good Business Intelligence Engineer is detail-oriented, has strong analytical skills, and the ability to interpret complex data into actionable business insights.

They should have a deep understanding of the business and industry, enabling them to identify trends and make accurate predictions.

Further, good communication skills are necessary to present complex data to non-technical stakeholders in a way that is easy to understand.

 

What is the role of a Business Intelligence Engineer in decision-making?

A Business Intelligence Engineer plays a critical role in decision-making by providing relevant, accurate, and timely data to business leaders.

They create reports, dashboards, and tools that help visualize data and trends, making it easier for decision-makers to understand the information and make informed decisions.

They also identify opportunities and risks, providing valuable input into strategic planning and forecasting.

 

How does a Business Intelligence Engineer work with data?

A Business Intelligence Engineer works with data by collecting, integrating, and analyzing it to provide insights that can help businesses make informed decisions.

They use BI tools and software to transform raw data into meaningful information.

This involves designing and maintaining data systems, creating algorithms and predictive models to extract the data the business needs, and creating reports and visualizations to present this data effectively.

 

Conclusion

And there you have it.

Today, we’ve delved into the intricate world of what it truly means to be a Business Intelligence Engineer.

Surprise, surprise?

It’s not only about crunching numbers and churning out reports.

It’s about shaping the strategic future of the business, one data-driven insight at a time.

Armed with our comprehensive Business Intelligence Engineer job description template and real-world examples, you’re well-equipped to take the plunge.

But why stop there?

Dig deeper with our job description generator. It’s your key to creating precise job listings or refining your resume to absolute perfection.

Keep in mind:

Every piece of data is a part of the wider business ecosystem.

Let’s shape that future. Together.

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