Arvest Bank is a prominent regional bank with a strong reputation for customer service and community engagement. It stands out in the banking industry due to its commitment to local economies and personalized banking experiences.

The Product Analyst position at Arvest Bank involves significant responsibilities in product development, data analysis, and market research. As a Product Analyst, you'll be expected to possess a keen eye for detail and a strong analytical mindset to drive product strategies and innovations. This role is pivotal in ensuring that Arvest Bank continues to meet the evolving needs of its customers.

If you’re aiming to become a Product Analyst at Arvest Bank, this guide by Interview Query is designed to help you understand the interview process, tackle commonly asked questions, and provide essential tips. 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 Arvest Bank as a Product Analyst. Whether you were contacted by an Arvest Bank 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 Arvest Bank 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 Arvest Bank product 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 Arvest Bank Product 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 data analysis, SQL queries, and ETL processes.

In the case of product 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 understanding of product lifecycle management 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 Arvest Bank office. Your technical prowess, including analytical and product management 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 Product Analyst role at Arvest Bank.

Quick Tips For Arvest Bank Product 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 Arvest Bank interview include:

• Understand Arvest Bank's Products: Arvest Bank questions are standardized and rely heavily on situational scenarios with their products. Study Arvest Bank’s product offerings and understand how you would personally improve or test them.
• Be Data-Driven: Arvest Bank’s interviews assess how well you can provide business-driving insights with data analysis. Brush up on your knowledge of statistics and probability, given these questions can be some of the hardest to solve.
• Embody the Spirit: Arvest Bank at its core has a collaborative, community-focused culture that values innovation. Practice responding to behavioral questions with answers that touch on Arvest Bank’s core values.

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

• 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: What's the time complexity?

• 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.

• Write a query to get the top 3 highest employee salaries by department. Given the employees and departments table, write a query to get the top 3 highest employee salaries by department. The output should include the full name of the employee, the department name, and the salary, sorted by department name in ascending order and salary in descending order.

• Write a function to combine sorted integer lists into one sorted list. Given a list of sorted integer lists, write a function sort_lists to create a combined list while maintaining sorted order without importing any libraries or using the 'sort' or 'sorted' functions in Python.

• Write a function to swap nodes in a singly linked list. Given the head of a singly linked list represented as a ListNode, and two zero-indexed positions x and y, write a function swap_node which swaps the positions of nodes x and y and returns the new head. You must swap these using pointer manipulation.

• How would you investigate a decrease in credit card payment amounts per transaction? You work for a financial company and notice that the credit card payment amount per transaction has decreased. How would you investigate the cause of this decrease?

• How would you build a strategy to find the best businesses to reach out to? You are a credit card company looking to partner with more merchants. You have 100K small businesses to reach out to but can only contact 1000. How would you strategize to identify the best businesses to target?

• What features would you include in a model to predict a no-show for pizza orders? Imagine you run a pizza franchise and face a problem with many no-shows after customers place their orders. What features would you include in a model to predict a no-show?

• How does random forest generate the forest, and why use it over logistic regression? Explain how random forest generates the forest. Additionally, why would we use random forest over other algorithms such as logistic regression?

• How would you build a fraud detection model with a text messaging service for a bank? You work at a bank that wants to build a model to detect fraud on the platform. The bank also wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction, allowing the customer to approve or deny the transaction with a text response. How would you build this model?

• What is the relationship between PCA and K-means clustering? Explain the relationship between Principal Component Analysis (PCA) and K-means clustering.

If you want more insights about the company, check out our main Arvest Bank 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 Arvest Bank'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 Arvest Bank Product 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!