Canon USA is a global leader in imaging and optical products, renowned for its innovative solutions and cutting-edge technology. As a subsidiary of Canon Inc., the company has a strong presence in both consumer and business markets, delivering high-quality cameras, printers, and other imaging tools.

Joining Canon USA as a Business Intelligence professional involves leveraging advanced analytics and data-driven decision-making to improve business operations and strategies. This role requires proficiency in data analysis, statistical modeling, and the ability to translate complex data into actionable insights. As a key player in the company, you will work across various departments to enhance performance, optimize processes, and support business growth.

In this guide, we’ll explore the interview process for the Business Intelligence position at Canon USA, including commonly asked questions and valuable tips. If you aspire to integrate into a forward-thinking company like Canon USA, this guide will help you prepare effectively. Let's dive in!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Canon USA as a Business Intelligence professional. Whether you were contacted by a Canon USA 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 Canon USA 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 Canon USA 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 Canon USA 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 Canon USA’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 Canon USA 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 Canon USA.

Quick Tips For Canon USA Business Intelligence Interviews

• Understand Canon USA Products and Services: Canon's interview questions may rely heavily on situational scenarios with their products. Study Canon's broad range of products and understand how you would personally improve or analyze the data generated by them.
• Be Data-Driven: Canon's Business Intelligence interviews assess how well you can provide business-driving insights with data. Brush up on your knowledge of statistics and probability, given these questions can be some of the hardest to solve.
• Reflect Canon's Values: Canon at its core has a collaborative, customer-focused culture that values innovation. Practice responding to behavioral questions with answers that touch on Canon's core values.

Typically, interviews at Canon Usa vary by role and team, but commonly Business Intelligence 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 the customer service quality through the chat box for small businesses on Facebook Marketplace? Working at Facebook, your team aims to help 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? If you are in charge of an e-commerce D2C business that sells 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 (e.g., likes, 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 the process of generating a forest in a random forest algorithm and discuss the advantages of using random forest over logistic regression.

• How do we deal with missing square footage data to construct a housing price model? You have 100K sold listings over the past three years for Seattle, with 20% missing square footage data. Describe methods to handle the missing data to build an accurate housing price prediction model.

• 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 create a model that predicts which merchants to target for acquisition when entering a new market.

• How do you detect and handle correlation between variables in linear regression? Describe methods to detect and manage correlation between variables in a linear regression model. Explain the consequences of ignoring such correlations.

• How would you design a model to detect potential bombs at a border crossing? Outline the design of a model to detect potential bombs at a border crossing, including the selection of inputs and outputs, accuracy measurement, and testing procedures.

• 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:

• How do you 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?

The Business Intelligence position at Canon USA offers an exciting opportunity to leverage your analytical expertise and drive impactful business decisions. To set yourself apart and gain a comprehensive understanding of what to expect, don't miss out on our extensive Canon USA Interview Guide. Here, we've curated a collection of potential interview questions and detailed insights into the interview process.

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 excel in your Canon USA Business Intelligence interview. Explore our company interview guides for better preparation, and if you have any questions, don't hesitate to reach out.

Good luck with your interview!