Arrow Electronics is a leading technology solutions provider renowned for its innovation and commitment to connecting the world with the latest electronics and enterprise computing solutions. Arrow operates globally, offering diverse services across a wide array of industries.

The Data Analyst position in Purchase, NY is crucial within the Strategic Quote Management (SQM) department. This hybrid role involves both on-site collaboration and remote work, focusing on request for quote processing, contract negotiations, award processing, and implementation for Aerospace & Defense clients. Ideal candidates should have strong MS Excel skills, data analysis expertise, and the ability to handle multiple priorities in a fast-paced environment. Explore the detailed guidance on Interview Query to prepare for this role and join a dynamic team at Arrow Electronics.

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 Data Analyst. Whether you were contacted by a 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 Data Analyst hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also engage 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 Data Analyst 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’s data systems, request for quote processing, negotiation, award processing, and award implementation.

In the case of data analyst roles, take-home assignments regarding product metrics, analytics, and data visualization are incorporated. Apart from these, your proficiency in 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

Following 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 in Purchase, NY. Your technical prowess, including programming and data handling 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 Arrow Electronics.

Quick Tips For Arrow Electronics Data Analyst Interviews

• Brush Up on Technical Skills: Arrow Electronics looks for data analysts who are proficient in MS Excel (Concatenations, If Statements, Macro, Pivot Tables, V-Lookups) and familiar with MS Access. Make sure to review these skills and practice related questions on Interview Query.
• Know the Industry: Arrow Electronics deals with Aerospace & Defense companies. A thorough understanding of the electronics industry and familiarity with part numbers and associated products will go a long way.
• Effective Communication and Problem-Solving: Effective verbal and written communication skills, along with strong research and problem-solving abilities, are key aspects of the role. Practice responding to behavioral questions with answers reflecting these competencies.

Typically, interviews at Arrow Electronics 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 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 cell. You can scan subsets of cells to know if the mouse is within that subset. Devise 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 NYC and Charlotte and needs a process for selecting dashers. Determine the criteria for selecting dashers and whether the criteria 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 factors that could have biased this result and 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. Design a two-week 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 a specific item X is available at warehouse A (0.6) or warehouse B (0.8), calculate the probability that the 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 this model and explain its predictions to non-technical stakeholders?

• How would you evaluate and deploy 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 if a decision tree is the correct model? 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. 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 Data Analyst at Arrow Electronics?

Q: What is the primary role of a Data Analyst at Arrow Electronics?

A: The Data Analyst at Arrow Electronics, based in Purchase, NY, plays a vital role in the Strategic Quote Management (SQM) department. Key responsibilities include processing requests for quotations, supporting negotiations, award processing, and implementation related to Aerospace & Defense contracts.

Q: What skills and qualifications are needed for the Data Analyst position?

A: Ideal candidates should have a Bachelor's degree and 1-3 years of experience in data/database administration, preferably in the electronics industry. Proficiency with MS Excel (Concatenations, IF Statements, Macro, Pivot Tables, V-Lookups) and familiarity with MS Access are essential. The ability to work in a fast-paced environment, strong communication skills, and the ability to make evaluative judgments based on data analysis are also important.

Q: What are the benefits of working at Arrow Electronics?

A: Arrow offers competitive financial compensation and a comprehensive benefits package, including Medical, Dental, Vision Insurance, 401k with matching contributions, Paid Time Off, Health Savings Account (HSA)/Health Reimbursement Account (HRA) options, growth opportunities, and Short-Term/Long-Term Disability Insurance.

Q: What is the annual hiring range for the Data Analyst position?

A: The annual hiring range for the Data Analyst position at Arrow Electronics is $67,900.00 - $74,030.00. Actual compensation may vary based on geographic location, work experience, education, and skill level.

Q: How can I prepare for an interview at Arrow Electronics?

A: To prepare for an interview at Arrow Electronics, familiarize yourself with the company’s role in the electronics industry and review the specific responsibilities and skills listed for the position. Practice common interview questions and fine-tune your technical skills. Utilizing resources like Interview Query can help you thoroughly prepare.

Considering a position at Arrow Electronics as a Financial/Data Analyst in Purchase, NY, could be your gateway to a dynamic career at the forefront of the aerospace and defense industry. As part of the Strategic Quote Management department, you'll engage in critical activities like request for quote processing, negotiations, award processing, and implementation. If you’re ready to leverage your expertise in Excel and data analysis, all while enjoying competitive financial compensation and comprehensive benefits, this role offers an exciting opportunity.

For 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 data 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!