Bentley Systems (Nasdaq: BSY) is a leader in infrastructure engineering software, providing cutting-edge solutions to enhance global infrastructure, while supporting economic growth and environmental sustainability. Their industry-leading software serves diverse sectors such as roads and bridges, water and wastewater, and industrial facilities across 194 countries.

As a Data Analyst at Bentley Systems, you will extract and manipulate data from various sources using Microsoft SQL and Snowflake, ensuring data integrity and utilizing your knowledge in statistical analysis, machine learning, and data visualization. Strong experience in SQL, data modeling, and business intelligence platforms like Qlik Sense and QlikView is essential. This role offers a competitive salary and the possibility of working remotely.

In this guide, we'll explore Bentley Systems' interview process for the Data Analyst role, including commonly asked questions and valuable tips, all sourced from Interview Query insights. Let's get started!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Bentley Systems as a data analyst. Whether you were contacted by a Bentley Systems 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 Bentley Systems' 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 Bentley Systems data analyst 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 Bentley Systems data 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 Bentley Systems’ data systems, ETL pipelines, and SQL queries.

In the case of data analyst 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 Bentley Systems 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 data analyst role at Bentley Systems.

Quick Tips For Bentley Systems Data Analyst Interviews

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 Bentley Systems interview include:

• Understand Bentley’s Products and Services: Bentley Systems provides a wide range of software solutions for infrastructure engineering. Study their products and understand how they integrate and contribute to infrastructure projects.
• Be Data Driven: Bentley Systems values data-driven decision-making. Brush up on your knowledge of SQL, data visualization tools like Qlik Sense and QlikView, and statistical analysis to provide business-driving insights.
• Embody the Culture: Bentley Systems emphasizes innovation and collaboration. Practice responding to behavioral questions with answers that touch on Bentley's core values and illustrate your problem-solving and teamwork capabilities.

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

• 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, the query should select the next highest salary.

• Write a function to merge two sorted lists into one sorted list. Given two sorted lists, write a function to merge them into one sorted list. Bonus: Determine the time complexity.

• Create 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.

• Develop a function precision_recall to calculate precision and recall metrics. Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics. Return the ordered pair (precision, recall).

• Write a function to search for a target value in a rotated sorted array. Given a rotated sorted array and a target value, write a function to search for the target value. If the value is in the array, return its index; otherwise, return -1. Bonus: The algorithm's runtime complexity should be in the order of (O(\log n)).

• Would you suspect anything unusual about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Would you consider this result suspicious?

• How would you set up an A/B test to optimize button color and position for higher click-through rates? 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 steps would you take if friend requests on Facebook are down 10%? A product manager at Facebook reports a 10% decrease in friend requests. What actions would you take to investigate and address this issue?

• Why might the number of job applicants be decreasing despite stable job postings? You observe that the number of job postings per day has remained constant, but the number of applicants has been decreasing. What could be causing this trend?

• What are the drawbacks of the given student test score datasets, and how would you reformat them for better analysis? You have data on student test scores in two different layouts. What are the drawbacks of these formats, and what changes would you make to improve their usability for analysis? Additionally, describe common issues found in "messy" datasets.

• Is this a fair coin? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if the coin is fair based on this outcome.

• Write a function to calculate sample variance from a list of integers. Create a function that outputs the sample variance given a list of integers. Round the result to 2 decimal places. Example: Input: test_list = [6, 7, 3, 9, 10, 15] Output: get_variance(test_list) -> 13.89

• Is there anything fishy about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Evaluate if there is anything suspicious about these results.

• Write a function to return the median value of a list in O(1) time and space. Given a list of sorted integers where more than 50% of the list is the same repeating integer, write a function to return the median value in O(1) computational time and space. Example: Input: li = [1,2,2] Output: median(li) -> 2

• What are the drawbacks of the given student test score data layouts? You have data on student test scores in two different layouts. Identify the drawbacks of these layouts, suggest formatting changes for better analysis, and describe common problems in "messy" datasets.

• How would you evaluate the suitability and performance of a decision tree model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will repay a personal loan. How would you evaluate whether a decision tree is the correct model for this problem? If you proceed with the decision tree, how would you evaluate its performance before and after deployment?

• How does random forest generate the forest, and why use it over logistic regression? Explain how a random forest generates its forest of decision trees. Additionally, discuss why you might choose random forest over other algorithms like logistic regression.

• When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms. In which scenarios would you use a bagging algorithm versus a boosting algorithm? Provide examples of the tradeoffs between the two.

• How would you justify using a neural network model and explain its predictions to non-technical stakeholders? Your manager asks you to build a neural network model to solve a business problem. How would you justify the complexity of this model and explain its predictions to non-technical stakeholders?

• What metrics would you use to track the accuracy and validity of a spam classifier? You are tasked with building a spam classifier for emails and have completed a V1 of the model. What metrics would you use to track the accuracy and validity of the model?

What is the average salary for a Data Analyst at Bentley Systems?

Q: What are the main responsibilities of a Data Analyst at Bentley Systems? A: As a Data Analyst at Bentley Systems, you will be responsible for extracting data from various sources, utilizing SQL and Snowflake for querying and integration, cleaning and validating data, and analyzing data sets using statistical analysis, machine learning, and data visualization techniques.

Q: What qualifications are required for the Data Analyst position at Bentley Systems? A: The position requires a Master of Science in Data Analytics Engineering or Data Science, 2 years of data analysis experience, and proficiency with SQL and data modeling. Knowledge of analytics and business intelligence platforms such as Qlik Sense and QlikView is also necessary.

Q: What software and tools should a Data Analyst be familiar with at Bentley Systems? A: You should be proficient in Microsoft SQL, Snowflake, Qlik Sense, and QlikView for querying, data manipulation, and data integration. Familiarity with data visualization techniques is essential.

Q: What is the company culture like at Bentley Systems? A: Bentley Systems values innovation and teamwork, focusing on advancing global infrastructure. The company promotes equal opportunity and supports a diverse and inclusive workplace, ensuring employees from all backgrounds feel valued and accepted.

Q: How can I prepare for an interview for the Data Analyst position at Bentley Systems? A: To prepare, research Bentley Systems and its products, practice common interview questions, and review your technical skills. Focus on your experience with SQL, data analytics, and business intelligence tools. Utilizing Interview Query can help you prepare thoroughly.

For those eager to embark on an exciting journey with Bentley Systems, the Data Analyst role offers a thrilling opportunity to work with cutting-edge technologies like SQL and Snowflake to transform data into actionable insights. At Bentley Systems, you’ll be part of a forward-thinking organization that drives innovation in infrastructure engineering software, impacting global projects from roads and bridges to water utilities and industrial facilities. If you’re equipped with a master’s degree in Data Analytics Engineering or Data Science and have hands-on experience in data modeling and business intelligence platforms, this could be your perfect next step.

To dive deeper into what the interview process entails, check out our main Bentley Systems Interview Guide, where we've compiled numerous interview questions and insights specific to Bentley. We've also curated guides for other roles, including data analyst and software engineer positions.

At Interview Query, our mission is to empower you with the knowledge, confidence, and strategic guidance to excel in any Bentley Systems interview. Explore our extensive collection of company interview guides for comprehensive preparation. If you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!