TomTom is a global leader in navigation, traffic, and map products, known for continuously innovating to create actionable location-based solutions. With a presence in over 30 countries, TomTom remains at the forefront of geospatial technology and digital mapping services.

As a Business Analyst at TomTom, you will play a crucial role in driving strategic business decisions through in-depth data analysis, problem-solving, and financial modeling. You will work closely with cross-functional teams to identify opportunities, streamline processes, and deliver valuable insights that contribute to the company's growth and success.

This guide will help you navigate the interview process for a Business Analyst role at TomTom. We’ll go over the interview stages, share commonly asked questions, and offer tips to help you succeed. Let’s dive in with Interview Query!

Submitting Your Application

The first step is to submit a compelling application that reflects your analytical skills and interest in joining TomTom as a Business Analyst. Whether you were contacted by a TomTom 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 applicable to the role of a Business Analyst.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the TomTom 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 TomTom Business Analyst hiring manager may be 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 TomTom Business Analyst role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around TomTom’s data systems, business analytics, and SQL queries.

In the case of Business Analyst roles, take-home assignments regarding product metrics, data interpretation, and modeling are incorporated. Apart from these, your proficiency against data visualization tools, hypothesis testing, and probability distribution 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 TomTom office. Your technical acumen, including data analysis and business modeling capabilities, will be evaluated against the other 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 Analyst role at TomTom.

Quick Tips For TomTom Business Analyst Interviews

A few tips for acing your TomTom interview include:

• Brush Up on Technical Skills: Make sure you have a strong understanding of analytical tools and techniques. Practice SQL queries and data visualization using platforms like Interview Query.
• Understand TomTom’s Products: Study TomTom’s range of products and understand how your role as a Business Analyst could improve or analyze those products.
• Prepare for Case Studies: Expect to solve real-world business problems. Practice responding to case studies and be prepared to discuss your analytical approach and solutions.

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

• 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 the answer to two decimal places.

• Write a function missing_number to find the missing number in an array. You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of (O(n)) required.

• Find the index where the sum of the left half equals the right half in a list. Given a list of integers, find the index at which the sum of the left half of the list is equal to the right half. If there is no such index, return -1.

• Write a function sorting to sort a list of strings in ascending order. Given a list of strings, write a function, sorting from scratch to sort the list in ascending alphabetical order. Do not use the built-in sorted function. Return the new sorted list.

• Write a query to find the earliest date each user played their third unique song. Given a table of song_plays and a table of users, write a query to extract the earliest date each user played their third unique song. If a user has listened to less than three unique songs, display their name with a NULL date and song name.

• How would you build a model to predict which merchants DoorDash should acquire in a new market? As a data scientist at DoorDash, describe the steps and features you would use to build a predictive model to identify which merchants the company should target for acquisition when entering a new market.

• How would you determine customer service quality through the chat box for small businesses on Facebook Marketplace? Your team at Facebook focuses on helping small businesses increase sales through the Marketplace app. Explain how you would assess the quality of customer service interactions via the chat box for small businesses selling items to consumers.

• What business health metrics would you track on a dashboard for an e-commerce D2C sock business? As the person in charge of an e-commerce D2C business selling socks, list and explain the key business health metrics you would monitor on a company dashboard.

• Write a query to determine if user interactions (likes, comments) lead to higher purchasing volumes. Given three tables (users, transactions, and events), write a SQL query to analyze whether users who interact on the website (through likes and comments) convert to purchasing at a higher volume than those who do not interact.

• How does random forest generate the forest and why use it over logistic regression? Explain how random forest generates multiple decision trees and combines their results. Discuss the advantages of using random forest over logistic regression, such as handling non-linear data and reducing overfitting.

• How do we deal with missing square footage data in housing price prediction? You have 100K sold listings with 20% missing square footage data. Describe methods to handle the missing data, such as imputation techniques or using models that can handle missing values directly.

• How would you build a model to predict which merchants DoorDash should acquire in a new market? As a data scientist at DoorDash, outline the steps to build a predictive model for merchant acquisition. Include data collection, feature selection, model training, and evaluation criteria.

• How do you detect and handle correlation between variables in linear regression? Describe methods to detect correlation between variables, such as correlation matrices or VIF. Explain techniques to handle correlated variables, like removing one of the variables or using regularization methods. Discuss the consequences of ignoring correlation in the regression model.

• How would you design a model to detect potential bombs at a border crossing? Outline the design of a model to detect potential bombs, including input features, output labels, accuracy measurement, and testing procedures. Discuss the importance of precision and recall in this context.

• How many more samples are needed to decrease the margin of error from 3 to 0.3? Given a sample size (n) with a margin of error of 3, calculate the additional samples required to reduce the margin of error to 0.3.

• What is the mean and variance of the distribution of (2X - Y)? Given (X) and (Y) are independent random variables with normal distributions (X \sim \mathcal{N}(3, 4)) and (Y \sim \mathcal{N}(1, 4)), determine the mean and variance of (2X - Y).

• How do you calculate the sample size and power for an AB test? For an AB test with a test group and a control group:

• Explain how to calculate the necessary sample size for accurate measurement.
• If the sample size is sufficient, should the power increase or decrease to measure very small differences between the groups?

If you want more insights about the company, check out our main TomTom 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 TomTom’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 TomTom Business Analyst 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!