Business Intelligence Engineer Interview Questions – Congratulations! An interview for the position of business intelligence (BI) analyst is coming up. As companies strive to optimize the value of their data, the demand for BI analysts is increasing. Preparing for a BI analyst interview can be overwhelming, especially if you’re just starting out in your career.
Before diving deep into the world of advanced analytics, prepare yourself for our requirements and expectations.
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Common BI Analyst Interview Questions 1. Tell me about your background and experience in business intelligence analysis. How to answer
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Business intelligence analysts focus on finance, economics, IT, statistics, manufacturing, etc. can focus in different areas. Tell the interviewer what field you earned your university degree in and briefly describe where your career path has taken you. Make sure the company shows a strong interest in the industry.
I am a finance graduate, majoring in business management. My education helped me greatly in my business intelligence career as I developed interests and knowledge in business law, microeconomics and financial accounting.
Experienced BI Analyst will be exposed to Systems Development Lifecycle (SDLC) and User Acceptance Testing (UAT). When a company introduces a new software or application to its business, the transition must be well thought out, thoroughly tested and implemented effectively throughout the organization. An experienced business intelligence analyst can facilitate this process, saving the company time and financial resources. Tell us about your exposure to SDLC and UAT. If you have no experience, emphasize your interest in learning about these activities.
Although I have limited exposure to SDLC, I have participated in the UAT phase of a few projects. I like to analyze which aspects of a new software or application are the most difficult to implement, which are the easiest to deploy and what to do.
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With this question, the hiring manager wants to gauge your interest in further development that will lead to more significant career opportunities. Many skilled BI analysts have a bachelor’s degree, while others have a master’s degree in business administration (MBA). An MBA provides an in-depth understanding of a company’s business, economics, and how various economic and social factors affect the business environment. BI analysts don’t need an MBA, but it can give you a competitive advantage.
Of course, in parallel with career development, I have considered the possibility of obtaining an MBA degree. As a business intelligence analyst, I believe the MBA will expand my knowledge of business economics and in turn benefit my future employer and their clients.
4. What are your thoughts on Agile software development for BI projects? Do you support the use of Agile methodologies with your company’s clients? How to answer
Agile encourages team collaboration with customers and end users, allowing cross-functional projects to run smoothly. Since its inception, Agile software development has been well received by companies around the world. But some still prefer Waterfall’s structured development methodology. So before you share your thoughts on Agile with the interviewer, make sure you know your company’s state of Agile.
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I know that Agile software development is more collaborative than other software development models. Agile can be the best solution for many projects. I would like to get acquainted with the methodologies used here. The results, not the methods behind the projects, are the most important.
BI analysts mainly use Microsoft Excelor Power BI for data modeling. The required or desired tools will be mentioned in the company’s job description, so it would be best to refer to them. If you have relevant experience, share your experience level with the interviewer. If you are not familiar with the program or programs they want, explain how you can fit your skills into their systems.
I do most of my data modeling in Excel, which is best for data mapping. I am also familiar with Power BI. But I could benefit from improving my skills in this program. That’s why I’m buying it now
Whether you are a data BI analyst, an IT BI analyst, or a strategic BI analyst, your answer to this question will depend on your background. Your experience and skills as a BI analyst depend on your career focus. So find a way to share with the interviewer the technical skills you’ll bring to the company and the value they bring to day-to-day operations.
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Let’s say you’re applying for a data-driven role. In this case, your technical skill set may include knowledge of data analysis software and visual presentation tools such as Power BI. In contrast, a BI analyst in IT would likely be exposed to some software development programs. At the same time, a strategic BI analyst would be well versed in business case analysis software and applications.
As a data BI analyst, I have been exposed to data mining and big data software such as LIONsolver and Oracle. I am very proficient in Microsoft Excel, which I use for data modeling, and Power BI, which I use to create rich visuals and client presentations.
3. Identify two important chart types in your BI analytics arsenal. Why do you think they are important? How to answer
The hiring manager wants to make sure you have a basic understanding of the charts and graphs you’ll be using for your BI analyst tasks. Some examples:
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You’re probably familiar with most of them, so pick two charts that you have experience with and can easily discuss.
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The two charts I use the most are area charts and bar charts. In my role as a BI analyst, field charts have helped me see where a particular trend will go in the future, which in turn makes planning easier. On the other hand, bar charts can clearly show which products are most popular among customers or show the number of unique visitors to a landing page based on different criteria.
Benchmarking is the practice of evaluating and comparing a company’s business processes with the best practices of competitors and using these insights to set standards and improve company performance. When BI analysts benchmark, they study different metrics and processes, such as product development and manufacturing procedures. Discuss with your interviewer how you use benchmarking to help your company achieve its goals.
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Benchmarking is important to compare your business to other successful businesses. This is a smart, analytical comparison. Benchmarking is necessary when a company wants to make a major change, sees a loss of revenue, is awaiting the launch of a new product, or needs to review its business operations.
If you’re an experienced BI analyst, you know the big difference between an actual risk and a problem. Your interviewer wants to see if you can focus on the prospect while still focusing on the things at hand.
As a business intelligence analyst, I focus more on risks than problems. I see risk as a predictable problem that may arise in the future, so I need to assess that risk and help my clients avoid it. The problem is the risk that has already happened. In such cases, I can advise my clients on how to do damage control. But I’d rather help them avoid the problem.
Discuss with the interviewer the methods used and the reasons for your choices. Your interviewer wants to know what you know about decision-making and methods for achieving reliable results in your projects. Some standard decision-making techniques include T-chart analysis and Pareto analysis (80/20 rule).
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I don’t limit myself to one technique. My choice in decision-making mainly depends on the stage of the project. Sometimes I use different methods in a project, such as Pareto analysis, T-chart analysis, SWOT analysis or decision trees. Each of them helps me solve specific questions and make a decision.
If randomization is not achieved, selection bias is introduced by selecting individuals, groups, or data during sampling. If we are not careful with our data collection, our analysis will be flawed.
Because it is about sampling. Selection bias is a broad term that includes the following different biases:
Sampling bias occurs when only a few people in the general population have an equal chance of being selected. Let’s say we want to survey students at a particular university. We could go to a university, walk into random classes and ask them all to fill out our survey. Great, right? Well, not exactly. There are two main problems with this scenario:
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This bias occurs when different observations in a sample have different developmental periods, a prominent example being diseases such as cancer. Some cancers progress more quickly than others, causing significant differences in the course of the disease over six months in two individuals. Patients can be at different stages of cancer and often have different biological responses to the disease. Thus, time is an important issue in analyzing our sample.
Let’s say you have the means to research everything there is to know about a customer group, e.g.