Business Intelligence Engineer Job Description

Business Intelligence Engineer Job Description, Skills, and Salary

Get to know about the duties, responsibilities, qualifications, and skills requirements of a business intelligence engineer. You can use our job description template in this article to produce your own. We also provide you with information about the salary you can earn as a business intelligence engineer.


Who is a Business Intelligence Engineer?

Business Intelligence Engineers are professionals that are seen to work hand in hand with Business Intelligence Analysts to study the data of companies or organizations and how these can affect their business profitability, operations, enhancements, or influence at large. Business intelligence engineers are responsible for researching and analyzing a  company’s or organization’s data to support statistical analysis.  They work closely with the marketing staff, business unit, and other stakeholders to gain an understanding of BI goals and objectives to ensure the database systems are secured effectively, making use of all support competitive research efforts that can achieve all designated goals. They may train other staff members on the use of BI tools and programs, and the best way to design and implement data collection and analysis systems. These roles require familiarity with data visualization software programs and related tools.

Business Intelligence Engineers partner with BI developers at all times because they are expected to create and design BI systems. Business intelligence engineers primarily source data into an accessible infrastructure so that BI analysts can grab it for getting insights. The business intelligence engineers are responsible for enhancing and streamlining business intelligence tools, and processes, along with implementing them strategically even as they still liaise with key stakeholders, data engineers, data scientists, and software engineers to support and enable the continued critical growth of their company or organization. The Business Intelligence Engineers help in translating data used to inform our most critical strategy and real-time decisions. They help in the planning and development of strategies and liaise with their supervisors like the business intelligence analyst on the best means of implementation. Business Intelligence Engineers make use of the skill set of both developers and analysts to efficiently implement various business intelligence strategies and tools.


Business Intelligence Engineer Job Description

Below are the business intelligence engineer job description examples you can use to develop your resume or write a job description for your employee. Employers can also use it to sieve out job seekers when choosing candidates for interviews.

The duties and responsibilities of a business intelligence engineer include the following:

  • Gathering information from customers to develop them into reports and dashboards.
  • Partnering with data engineers for data analysis and performance enhancements.
  • Building data architecture and defining metrics that are critical to the growth of their organization or company.
  • Ensuring timely and accurate meet project milestones and deliverables as agreed upon at all times.
  • Assisting in planning budgets, and data timelines, and developing reports on performance metrics at all times.
  • Applying data modeling or database design concepts in the architecture of a relational data warehousing system.
  • Training teammates on how best to use BI tools and programs.
  • Preparing ad-hoc queries to resolve data source system issues that can be a hassle.
  • Defining, designing, and implementing data security protocols for the safeguarding of one’s organization or company’s database.
  • Interacting with data warehouse architects to design or redesign data schemas to accommodate new reporting requirements for one’s client or organization.
  • Assisting in the designing and generation of reports in a timely and accurate manner.
  • Working with all departments in the business units to improve business operations.
  • Training and guiding junior engineers in data reporting and analytical skills.
  • Recommending enhancements and modifications to optimize redundant business intelligence processes.
  • Addressing business intelligence queries and issues in a timely fashion to bypass any kind of hurdle.
  • Driving operational excellence for data ingestion, transformation, and publication with your team for the enhancement of one’s company or organization.
  • Aligning existing and future reporting requests to the presented standards of one’s organization or company.
  • Partnering with product managers to design the ideal user experience from question to data discovery to insights on the best possible action plan.
  • Providing the right metrics and insights to help every business develop its employees and scale its workforce progressively.
  • Designing and delivering to top management and any interested party various analytical reports on company data.
  • Preparing complex transaction Services documents and Reports for business users or organizations.
  • Establishing and enforcing company standards at all times.
  • Creating and executing project plans within the allotted budget and timelines.
  • Maintaining and keeping the records of every documentation for all business intelligence processes.
  • Identifying data sources, building scalable data models, and operationalizing data analytics.
  • Providing insights and database analysis across cross-functional global teams.
  • Communicating constantly the risks, progress, or completion of projects effectively to stakeholders.
  • Ensuring to design of routines to process data from multiple sources into a centralized warehouse at all times.
  • Ensuring the success of every project by managing task assignments, deliverables, and contractors.
  • Coordinating with customers and Business Analysts to determine business data reporting and analysis requirements.
  • Assisting in business report generation to internal and external customers for business decision-making and negotiation.
  • Setting up stand-alone and distributing Tableau Server to publish and distribute dashboards easily.
  • Setting up and maintaining BI tools, infrastructure, and integration with company data sources.
  • Designed and developed Architectural diagrams and data flow processes.
  • Designing Catalog Execution Framework and creating SSIS to load claims warehouse for dashboard reporting.
  • Supporting Database Administrators and Developers to build data warehousing systems for business reporting and analytics.
  • Assisting in data administration, modeling, and integration activities in data warehouse systems.
  • Implementing critical business intelligence solutions to achieve data reporting and analysis goals.
  • Understanding customers’ behavior, and competitive service trends, all to inform decision making
  • Supporting the development of business intelligence standards aimed at achieving business goals.
  • Coordinating with each business unit in the organization to identify new data requirements, analysis strategies, and reporting mechanisms.
  • Providing meaningful recommendations and actionable strategies at all times.
  • Helping in translating business needs into requirements and identifying efficiency opportunities at all times.
  • Creating and invoicing solutions which include ETL and SSRS for new listings products, and also implementing temporal functions in C# CLR to streamline date range calculations.
  • Analyzing key insight trends and building models that predict customer behavior,
  • Conducting and participating in code walkthroughs and documenting all technical designs.
  • Working collaboratively with the business management and staff to deliver technical solutions that meet customer needs at all times.
  • Gathering business intelligence from the company’s data, business trends, public information, and industry and field reports.
  • Supporting activities with global, cross-functional teams for critical Human Resources, Finance, and Stores Business Intelligence applications using a DevOps/Agile model and underlying ITIL framework including Event, Incident, Problem, and Change Management.
  • Established and maintained processes to improve knowledge management, increase team efficiencies, reduce incident volume, and decrease application time to restore and meet Service Level Agreements
  • Liaising with Business Data Engineers and Analysts to convert raw data into meaningful and actionable insights that can helpp in creating KPIs (Key Performance Indicators), that can aid the checkmating of an organization’s growth.
  • Creating and maintaining technical documentation in business and any other requirements.
  • Using established communication channels to distribute analytical findings.
  • Creating and maintaining SSIS packages to load data from disparate sources to the data mart.
  • Collaborating both internally and externally to keep abreast of the happenings in one’s industry.


  • A high school diploma or GED certificate.
  • A bachelor’s degree in business administration, computer Science, Mathematics, Engineering, Statistics, technology, or any related field.
  • Being a TDWI ( Transforming Data With Intelligence) certified Business Intelligence Professional after completing two years of work in the field.
  • Have at least (2-5) years of experience in multiple fields including data modeling, dimensional modeling techniques, or Data pipelining.
  • Have an understanding and a working experience with BI (Business Intelligence) platforms.


Essential Skills

  • Problem-Solving skill: As a business intelligence engineer being able to troubleshoot problems that can arise during data collection is essential. In creating new data models, and algorithms for analyzing data, designing, and even implementing ETL processes or data mining models your problem-solving skill as a business intelligence engineer comes in handy.  Normally projects that involve wrangling data from multiple different sources never go as smoothly as planned that is now where the business intelligence engineer comes in. You identify and resolve accurately the different variables you would want to improve their accuracy. Business Intelligence engineers familiarize themselves with familiar with the problem-solving tools that can help them to modify any existing data and convert it into an organized and easy-to-read format. Some of these popular Data Manipulation Tools that can be utilized include SQL (Structured Query Language), Apache Spark, LookML, etc.
  • Communication skill: You as a business intelligence engineer definitely would work with people who do not know about business intelligence and the only way to be indispensable is to have the ability to explain your analyses in the most efficient manner possible and make them understand even in layman’s terms. Invest heavily in building your communication skill cause it can come in handy when negotiating or when you’re trying proactively to enhance or remain competitive in the business intelligence industry. Be it written, verbally, or visually you need to be able to turn nonsensical data into a comprehensive report for non-Bi professionals. To deliver intelligent business decisions, aid the decisions in financial planning, and still enhance customer experience, effective communication is essential for every business intelligence engineer.
  • Critical Thinking:  The business intelligence engineer must be able to think at an executive and operational level so that they can leverage data better and have a decisive approach to decision-making. This is the ability to systematically process information so that concepts can be understood beyond the superficial level and can be practicalized or applied. Constantly the BI Engineers are asked to check through and evaluate their works, pinpoint data anomalies, define the effect of these anomalies on business, and present practical solutions to the problems they stumble upon.
  • Business Acumen: You as a business intelligence engineer need to understand your company’s, client’s or organization’s business model and know how to tailor your efforts to gain maximum value from your key performance indicators (and the KPI management process) and also make strategic decisions that will help your organization succeed continually. Understanding how to fine-tune BI-based platforms, processes, and tools within one’s organization or offer and suggest Bi platforms or tools that can progressively grow the organization to attain the designated goal. Aiding the ongoing strategic implementation of such tools, including dashboard tools is seen as an essential thing every business intelligence engineer must do.


How to Become a Business Intelligence Engineer

  • Obtain a high school diploma or a GED certificate.
  • Obtain a bachelor’s degree in information technology, data-related field, Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or related field, economics, or any related field.
  • Acquire a working experience with multiple visualization tools (Looker, Power BI, Thought Spot, Qlik, etc.)
  • Get certified as a MicrosoftCertified Solutions Expert certification for this job.
  • Obtain at least 2 years of experience in modern programming language development.


Where to Work as a Business Intelligence Engineer

  • Software and IT companies.
  • Data analytical agencies.
  • Healthcare sector or industry.
  • Finance houses or firms.
  • Government or state houses.
  • Cyber Security firms or agencies.
  • Security agencies.


Business Intelligence Engineer Salary Scale

The salary ranges for a business intelligence engineer can vary widely depending on many important factors, including education, employer, compensation, benefits or perks, certifications, additional skills, and the number of years you have spent in this profession. The average Business Intelligence Engineer salary in the United States is $122,932, but the salary range typically falls between $109,035 and $138,795. The average business intelligence engineer salary in London, United Kingdom is £97,832. An entry-level business intelligence engineer (1-3 years of experience) in the United Kingdom earns an average salary of £69,171. On the other end, a senior-level business intelligence engineer (8+ years of experience) earns an average salary of £121,224.

In Australia, the average salary for a Business Intelligence Engineer is $138,000 per year, while in Canada the average business intelligence engineer gross salary is $131,030 with the entry-level business intelligence engineer (1-3 years of experience) earning an average salary of $92,643 and the senior level business intelligence engineer (8+ years of experience) earning an average salary of $162,359. The average business intelligence engineer gross salary in Ireland is €80,074  with the entry-level business intelligence engineer (1-3 years of experience) earning an average salary of €56,631 and the senior-level business intelligence engineer (8+ years of experience) earning an average salary of €99,248. The average business intelligence engineer gross salary in Germany is €94.586, with the entry-level business intelligence engineer (1-3 years of experience) earning an average salary of €66.876  and the senior-level business intelligence engineer (8+ years of experience) earning an average salary of €117.202.

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