Arrow Electronics is a global technology solutions provider offering an extensive array of products, services, and solutions to industrial and commercial users of electronic components and enterprise computing solutions. With operations in over 80 countries, it stands as a leader in the electronics distribution industry.

Joining Arrow Electronics as a Business Intelligence professional involves delving into data-driven decision-making processes. The role requires proficiency in data analysis, data visualization, and business intelligence tools to help the company make informed decisions. Some of the key responsibilities include data modeling, reporting, and collaborating with cross-functional teams to provide actionable insights.

In this guide, we’ll walk you through the interview process for the Business Intelligence position at Arrow Electronics, highlight some commonly asked questions, and offer valuable tips to help you succeed. 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 Arrow Electronics as a Business Intelligence Specialist. Whether you were contacted by an Arrow Electronics 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 Arrow Electronics 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 Arrow Electronics 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 Arrow Electronics Business Intelligence role is usually conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Arrow Electronics’ 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 Arrow Electronics 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 Arrow Electronics.

Quick Tips For Arrow Electronics Business Intelligence Interviews

• Understand Arrow Electronics’ Products and Services: Arrow Electronics operates in a dynamic industry with a wide range of products and services. Make sure you understand their portfolio and contemplate how your role can aid in driving their business insights.
• Be Data Driven: Arrow Electronics’ business intelligence interviews assess how well you can provide data-driven insights to drive business decisions. Brush up on your knowledge of statistics and probability as these questions can be pivotal.
• Be Clear and Thorough: Whether discussing a project you’ve been a part of or explaining complex data patterns, clarity and thoroughness are critical. Structure your answers in a way that clearly communicates your thought process and findings.

Typically, interviews at Arrow Electronics vary by role and team, but commonly Business Intelligence 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 find the maximum number in a list of integers. Given a list of integers, write a function that returns the maximum number in the list. If the list is empty, return None.

• Create a function convert_to_bst to convert a sorted list into a balanced binary tree. Given a sorted list, create a function convert_to_bst that converts the list into a balanced binary tree. The output binary tree should be balanced, meaning the height difference between the left and right subtree of all the nodes should be at most one.

• 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.

• Develop a function can_shift to determine if one string can be shifted to become another. Given two strings A and B, write a function can_shift to return whether or not A can be shifted some number of places to get B.

• What are the drawbacks of having student test scores organized in the given layouts? Assume you have data on student test scores in two different layouts. Identify the drawbacks of these layouts and suggest formatting changes to make the data more useful for analysis. Additionally, describe common problems seen in "messy" datasets.

• How would you locate a mouse in a 4x4 grid using the fewest scans? You have a 4x4 grid with a mouse trapped in one of the cells. You can scan subsets of cells to know if the mouse is within that subset. Describe a strategy to find the mouse using the fewest number of scans.

• How would you select Dashers for Doordash deliveries in NYC and Charlotte? Doordash is launching delivery services in New York City and Charlotte. Describe the process for selecting dashers (delivery drivers) and discuss whether the criteria for selection should be the same for both cities.

• What factors could bias Jetco's study on boarding times? Jetco, a new airline, has the fastest average boarding times according to a study. Identify potential factors that could have biased this result and explain what you would investigate further.

• How would you design an A/B test to evaluate a pricing increase for a B2B SAAS company? A B2B SAAS company wants to test different subscription pricing levels. Describe how you would design a two-week-long A/B test to evaluate a pricing increase and determine if it is a good business decision.

• How much should a ride-sharing app budget for a $5 coupon initiative? A ride-sharing app has a probability (p) of dispensing a $5 coupon to a rider and services (N) riders. Calculate the total budget needed for the coupon initiative.

• What is the probability of riders getting a coupon? A driver using the app picks up two passengers. Determine:

• The probability of both riders getting the coupon.

• The probability that only one of them will get the coupon.

• What is a confidence interval for a statistic and why is it useful? Explain what a confidence interval is, why it is useful to know the confidence interval for a statistic, and how to calculate it.

• What is the probability of finding an item on Amazon's website? Amazon has a warehouse system where items are located at different distribution centers. Given the probabilities that item X is available at warehouse A (0.6) or warehouse B (0.8), calculate the probability that item X would be found on Amazon's website.

• Is a coin fair if it comes up tails 8 times out of 10 flips? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if this coin is fair.

• What are time series models and why are they needed? Describe what time series models are and explain why they are necessary when less complicated regression models are available.

• How would you justify the complexity of building a neural network model and explain 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 the model and explain its predictions to non-technical stakeholders?

• 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? If you proceed, 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 random forest generates its forest of trees. Additionally, why would you choose random forest over other algorithms like logistic regression?

• How would you explain linear regression to a child, a first-year college student, and a seasoned mathematician? Explain the concept of linear regression to three different audiences: a child, a first-year college student, and a seasoned mathematician. Tailor your explanations to each audience's understanding level.

• What are the key differences between classification models and regression models? Describe the main differences between classification models and regression models.

What is the average salary for a Business Intelligence at Arrow Electronics?

Q: What is the interview process at Arrow Electronics for the Business Intelligence position like?
The interview process at Arrow Electronics typically includes an initial phone screen with HR, followed by technical interviews that may include case studies, SQL tests, and questions on data analysis. The final stage often involves a panel interview to assess both technical skills and cultural fit.

Q: What are the key responsibilities of a Business Intelligence analyst at Arrow Electronics?
A Business Intelligence analyst at Arrow Electronics is responsible for data extraction, transformation, and loading (ETL), creating dashboards and reports, analyzing data to provide insights, and supporting decision-making processes across various departments.

Q: What skills are required for the Business Intelligence position at Arrow Electronics?
Key skills include proficiency in SQL, experience with BI tools like Tableau or Power BI, strong analytical skills, a good understanding of ETL processes, and the ability to translate data insights into business strategies.

Q: What is the company culture like at Arrow Electronics?
Arrow Electronics fosters a collaborative and innovative culture, focusing on continuous learning and development. The company values diversity and encourages employees to think creatively and act with integrity.

Q: How can I prepare for an interview at Arrow Electronics for a Business Intelligence role?
To prepare, research the company and its products, practice SQL and data analysis problems, and get familiar with BI tools like Tableau or Power BI. Make use of resources like Interview Query to hone your skills and get insights into the interview process.

If you want more insights about the company, check out our main Arrow Electronics 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 Arrow Electronics’ 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 Arrow Electronics Business Intelligence position 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!