The Exchange, a forward-thinking firm, is known for its cutting-edge solutions in the finance and retail sectors. It stands out as a leader in leveraging technological advancements to enhance operational efficiencies and customer experiences.

The Business Intelligence (BI) position at The Exchange is ideal for individuals enthusiastic about turning data into actionable insights. This role demands proficiency in data analysis, visualization tools, and problem-solving capabilities to support strategic decision-making. As a BI professional at The Exchange, you'll delve into diverse areas such as sales data analysis, customer behavior insights, and performance metrics, fostering impactful business improvements.

If you're ready to embark on this exciting journey at The Exchange, our guide will help you navigate their interview process, review common BI interview questions, and offer resources to aid your preparation, exclusively available on Interview Query. Let’s begin!

Submitting Your Application

The first step in the interview process for a Business Intelligence position at The Exchange is to submit a compelling application that showcases your technical skills and interests. Carefully review the job description and tailor your resume and cover letter to highlight the key skills and experiences that match the role.

Recruiter/Hiring Manager Call Screening

If your application is shortlisted, a recruiter from The Exchange's Talent Acquisition Team will reach out to you for an initial call. This call will typically involve verifying your experience and skill levels. It may also include some behavioral questions to assess your fit for the company culture.

In some cases, the hiring manager for the Business Intelligence role may also join this screening call to discuss the role in detail and answer any questions you may have. This call generally lasts around 30 minutes.

Technical Virtual Interview

If you pass the initial screening, you will be invited to a technical virtual interview. This interview will be conducted via video conference and screen sharing. During this 1-hour interview, you can expect questions related to The Exchange's data systems, ETL processes, and SQL queries.

For Business Intelligence roles, take-home assignments that focus on product metrics, data analysis, and visualization may also be included. You may also be tested on your understanding of hypothesis testing, probability distributions, and basic machine learning principles.

Depending on the seniority of the position, real-world case studies and problem-solving scenarios may be part of this round as well.

Onsite Interview Rounds

Following a second call with a recruiter to brief you about the next steps, you will be invited to onsite interview rounds at The Exchange office. These rounds will include multiple interviews that vary based on the role. Your technical skills, including programming and data modeling capabilities, will be rigorously tested during these interviews.

If you were given a take-home assignment, you might also be required to present your work during one of the onsite interview rounds.

Quick Tips For The Exchange Business Intelligence Interviews

• Focus on ETL and SQL Proficiency: Brush up on your ETL processes and SQL query skills, as many interview questions will revolve around these areas.
• Understand Business Metrics: Be prepared to discuss how you would analyze and visualize key business metrics relevant to The Exchange.
• Practice Problem-Solving: Engage in mock interviews and practice problem-solving scenarios related to business intelligence and data analysis to sharpen your technical skills.

Typically, interviews at The Exchange vary by role and team, but commonly Business Intelligence interviews follow a fairly standardized process across these question topics.

• Create a function recurring_char to find the first recurring character in a string. Given a string, write a function recurring_char to find its first recurring character. Return None if there is no recurring character. Treat upper and lower case letters as distinct characters. Assume the input string includes no spaces.

• Write a query to get the average order value by gender. Given three tables representing customer transactions and customer attributes, write a query to get the average order value by gender. Round your answer to two decimal places. Consider only users who have ever placed an order.

• Identify first-time and repeat purchases by product category. Analyze a user's purchases to identify which purchases represent the first time the user has bought a product from its category and which represent repeat purchases. Output a table including every purchase with a boolean column indicating if the user has previously purchased from that category. Sort results by purchase time in ascending order.

• Parse the most frequent words used in poems. Given a list of strings called sentences, return a dictionary of word frequencies in the poem. Keys should be the number of times a word is used, with values being lists of words with that frequency. Process all words as lowercase and ignore punctuation.

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, select the next highest salary.

• How would you address a 10% decline in friend requests on Facebook? A product manager at Facebook reports a 10% decrease in friend requests. What steps would you take to investigate and address this issue?

• How would you set up an A/B test for changes in a sign-up funnel? A team wants to A/B test changes in a sign-up funnel, such as changing a button from red to blue and/or moving it from the top to the bottom of the page. How would you design this test?

• What metrics would you use to evaluate the value of marketing channels for Mode? Given all the different marketing channels and their respective costs at Mode, a company selling B2B analytics dashboards, what metrics would you use to determine the value of each marketing channel?

• How would you measure the success of a banner ad strategy for an online media company? An online media company wants to experiment with adding web banners into the middle of its reading content to monetize effectively. How would you measure the success of this banner ad strategy?

• How would you investigate a drop in Facebook posts per user? The Facebook posting tool shows a drop from 3% posts per user last month to 2.5% today. How would you investigate this issue? If the drop is in photo posts, what additional steps would you take?

• How would you interpret coefficients of logistic regression for categorical and boolean variables? Explain how to interpret the coefficients of logistic regression when dealing with categorical and boolean variables.

• What is the difference between covariance and correlation? Provide an example. Describe the difference between covariance and correlation, and provide an example to illustrate the distinction.

• What are time series models? Why do we need them when we have less complicated regression models? Explain what time series models are and why they are necessary despite the availability of simpler regression models.

• How would you determine if the difference between this month and the previous month in a time series dataset is significant? Given a time series dataset grouped monthly for the past five years, describe how you would assess if the difference between this month and the previous month is significant.

• How would you address a manager's complaint about a packet filling machine not functioning correctly? A manager reports that a machine, which weighs and attempts to pack 25 packets into a box, is malfunctioning. Customers are complaining about incorrect packet counts. Describe how you would investigate and resolve this issue.

• How does random forest generate the forest and why use it over logistic regression? Explain the process of generating a forest in random forest and discuss the advantages of using random forest over logistic regression.

• How would you justify using a neural network model and explain its predictions to non-technical stakeholders? Describe how you would justify the complexity of a neural network model for solving a business problem and how you would explain its predictions to non-technical stakeholders.

• How would you interpret coefficients of logistic regression for categorical and boolean variables? Explain the interpretation of logistic regression coefficients for both categorical and boolean variables.

• Which model would perform better for predicting Airbnb booking prices: linear regression or random forest regression? Compare the performance of linear regression and random forest regression for predicting booking prices on Airbnb and explain which model would likely perform better and why.

• What are the assumptions of linear regression? List and explain the key assumptions underlying linear regression.

If you want more insights about the company, check out our main The Exchange Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as software engineer and data analyst, where you can learn more about The Exchange’s interview process for different positions.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every The Exchange Business Intelligence position interview questions and challenges.

You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!