Huron Consulting Group is a global professional services firm committed to delivering solutions that inspire and drive growth. The company operates within a wide array of industries, including healthcare, education, life sciences, and business services, offering a diverse and dynamic place to work.

As a Business Intelligence professional at Huron, you will play a critical role in designing and implementing data-driven strategies that help clients optimize their performance and decision-making processes. This position demands strong analytical skills, a deep understanding of data visualization, and proficiency in leveraging various business intelligence tools.

If you are considering joining Huron Consulting Group, this guide is for you. We'll provide an overview of the interview process, share some commonly asked questions for the Business Intelligence role, and offer valuable tips to help you succeed. Let’s get you prepared with Interview Query!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Huron Consulting Group as a Business Intelligence professional. Whether you were contacted by a Huron recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Huron Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the Huron Business Intelligence hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Huron Business Intelligence role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Huron’s data systems, ETL pipelines, and SQL queries.

In the case of Business Intelligence roles, take-home assignments regarding product metrics, analytics, and data visualization are incorporated. Apart from these, your proficiency against hypothesis testing, probability distributions, and machine learning fundamentals may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the Huron office. Your technical prowess, including programming and ML modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Business Intelligence role at Huron.

Quick Tips For Huron Consulting Group Business Intelligence Interviews

• Should contain three tips for interviewing for this specific company based on interview experiences.

Example:

You should plan to brush up on any technical skills and try as many practice interview questions and mock interviews as possible. A few tips for acing your Huron Consulting Group interview include:

• Know Your Tools and Technologies: Huron questions often focus on your practical experience with data systems and Business Intelligence tools like SQL, ETL pipelines, and data visualization tools. Be prepared to showcase your hands-on knowledge.
• Be Analytical: Huron’s Business Intelligence interviews assess how well you can derive actionable insights from data. Brush up on your analytical skills and problem-solving abilities, as these will be critical.
• Understand Huron’s Services: Huron at its core has a client-focused culture that values results-driven consulting. Practice responding to behavioral questions with answers that touch on Huron’s core values and mission.

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

• How would you set up an A/B test for button color and position changes? A team wants to A/B test multiple 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 set up this test?

• How would you forecast Facebook's revenue for the next year? You work on the revenue forecasting team at a company like Facebook. An executive asks you to forecast the company's revenue for the coming year. How would you approach this task?

• How would you determine if an email campaign redesign led to increased conversion rates? An E-commerce store's new marketing manager redesigned the new-user email journey, and the conversion rate increased from 40% to 43%. However, the rate was 45% a few months prior. How would you investigate if the redesign caused the increase or if other factors were involved?

• How would you ensure data quality across different ETL platforms for PayPal's market research? PayPal partnered with a local survey platform for market research in Southern Africa, requiring data to be stored within each country's borders. How would you ensure data quality across various ETL pipelines, including those normalizing data through translation modules?

• How would you conduct an experiment to test Uber's ETA range feature? A PM at Uber is considering a new feature that displays an ETA range (e.g., 3-7 minutes) instead of a direct estimate (e.g., 5 minutes). How would you conduct this experiment and determine if the results are significant?

• Write a function min_distance to calculate the minimum absolute distance between two elements in an array and return all pairs with that difference. Given an array of integers, write a function min_distance to calculate the minimum absolute distance between two elements and return all pairs having that absolute difference. Ensure the pairs are returned in ascending order.

• Write a query to select the top five most expensive projects by budget to employee count ratio, accounting for duplicate rows in the employee_projects table. Given two tables, projects and employee_projects, write a query to select the top five most expensive projects by budget to employee count ratio. Ensure the query accounts for duplicate rows in the employee_projects table.

• Write a function to simulate drawing balls from a jar. Write a function to simulate drawing balls from a jar. The colors of the balls are stored in a list named jar, with corresponding counts of the balls stored in the same index in a list called n_balls.

• Design three classes: text_editor, moving_text_editor, and smart_text_editor with specific functionalities. Design three classes: text_editor, moving_text_editor, and smart_text_editor. Each class should have specific functionalities such as writing, deleting, and special operations.

• Write a query to determine the top 5 actions performed during Thanksgiving week and rank them. Write a query to determine the top 5 actions performed during the week of Thanksgiving (11/22/2020 - 11/28/2020) and rank them based on the number of times performed. Include the action performed and their rank in ascending order.

• How would you explain what a p-value is to someone who is not technical? Explain the concept of a p-value in simple terms to a non-technical person, focusing on its role in determining the significance of results in statistical tests.

• What is the probability that it's actually raining in Seattle given your friends' responses? You called 3 friends in Seattle to ask if it's raining. Each has a 2/3 chance of telling the truth and a 1/3 chance of lying. All 3 said "Yes." Calculate the probability that it is actually raining.

• What is the probability of drawing three cards in increasing order from a shuffled deck of 500 cards? Imagine a deck of 500 cards numbered from 1 to 500. If you pick three cards one at a time, what is the probability that each subsequent card is larger than the previous one?

• How would you test if survey responses were filled at random by certain individuals? You have survey data from multiple-choice questions. Describe how you would test if some individuals filled out the survey randomly rather than truthfully.

• What is the probability of a biased coin landing heads exactly 5 times out of 6 tosses? Given a biased coin that lands heads 30% of the time, calculate the probability of it landing heads exactly 5 times in 6 tosses.

• What kind of model did the co-worker develop for loan approval? Your co-worker developed a model that takes customer inputs and returns a decision on whether a loan should be given or not. Identify the type of model used.

• How would you measure the difference between two credit risk models? Given that personal loans are monthly installments, how would you compare the performance of two credit risk models over a specific timeframe?

• What metrics would you track to measure the success of the new credit risk model? Identify the key metrics you would monitor to evaluate the effectiveness of the new credit risk model.

• When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms and explain the scenarios where you would prefer a bagging algorithm over a boosting algorithm. Provide examples of the tradeoffs between the two.

• How would you detect firearm listings on a marketplace? Design a system to automatically detect if a listing on your website's marketplace is selling a gun, in compliance with the Terms of Service Agreement and legal regulations.

• How would you design a model to map legal first names to nicknames? As a data scientist at Facebook, create a machine learning model that maps legal first names to likely nicknames. Describe your approach.

• How would you tackle multicollinearity in multiple linear regression? Explain the methods you would use to address multicollinearity issues in a multiple linear regression model.

If you’re gearing up for a Business Intelligence role at Huron Consulting Group, you're on the right path to challenge your analytical skills and grow professionally. The interview experience at Huron is structured to bring out the best in your problem-solving and strategic thinking abilities. For more insights about the company, check out our main Huron Consulting Group 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 Huron Consulting Group’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 Huron Consulting Group Business Intelligence interview question and challenge.

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!