Popular Bank offers a wide range of financial services and solutions across Puerto Rico, the United States, and the Virgin Islands. As part of our commitment, we focus on transforming and innovating to meet our customers' needs during various life stages. With over 8,000 employees, Popular Bank is driven by a resiliency and determination to support the communities we serve.

Joining Popular Bank as a Senior Business Analyst provides an exciting opportunity to work on product management, focusing on building dashboards, analyzing product performance, managing projects, and collaborating with multiple internal stakeholders. Ideal candidates will be passionate about data, possess strong analytic and problem-solving skills, and have experience in financial product reporting.

Interview Query will guide you through the Popular Bank interview process, offering insights and tips to help you succeed. Dive in to learn more!

Submitting Your Application

To apply for the Business Analyst position at Popular Bank, start by submitting a detailed application that highlights your relevant technical skills and your passion for contributing to financial solutions. Tailor your resume to match the job description, emphasizing key skills and experience that align with the requirements.

Crafting a compelling CV involves identifying and including specific keywords that the hiring managers might look for. Don’t forget to also prepare a targeted cover letter that encapsulates your expertise, interest, and alignment with Popular Bank’s values in providing financial solutions.

Recruiter/Hiring Manager Call Screening

If your application stands out, a recruiter from Popular Bank will reach out to you to discuss your experiences, skill set, and suitability for the Business Analyst position. This call may also include some behavioral questions to gauge your fit with the company's culture.

Occasionally, the hiring manager for the Business Analyst role may also participate in this initial screening to answer any specific questions you have about the role and the team. The recruiter call typically lasts around 30 minutes.

Technical Virtual Interview

Success in the recruiter screening round will advance you to the technical interview stage. This interview is conducted virtually via video conference and can last around 1 hour. Expect questions that assess your expertise in data visualization, analytics, and product performance reporting.

For the Business Analyst role at Popular Bank, the technical interview may include problem-solving questions related to data analysis, hypothesis testing, and possibly some case studies. Be prepared to demonstrate how you handle complete ETL processes and project management tasks using data-driven insights.

Onsite Interview Rounds

The final round involves onsite interviews at Popular Bank's office. This stage will include multiple interviews with different team members, focusing on your technical aptitude, analytical skills, and problem-solving ability. You may also be asked to present a project or case study you completed as part of the interview process.

During these rounds, your interaction with internal stakeholders and your project management skills will be thoroughly evaluated. The onsite interviews may also incorporate assessments of your proactive mindset and how you handle risk mitigation processes.

Quick Tips For Popular Bank Business Analyst Interviews

• Emphasize Your Analytical Skills: Popular Bank values candidates with strong analytic and problem-solving skills. Make sure you can demonstrate your ability to analyze product performance and provide actionable insights.
• Understand Financial Products: Have a deep understanding of financial product reporting. This experience is crucial as you will be working closely with product management, compliance, and regulatory frameworks.
• Show Your Proactivity: Highlight examples from your past experiences where you proactively addressed issues, managed projects, and collaborated with cross-functional teams.

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

• What are the Z and t-tests, and when should you use each? Explain the purpose and differences between Z and t-tests. Describe scenarios where one test is preferred over the other.

• What are the drawbacks of the given data layouts, and how would you reformat them for analysis? Analyze the provided student test score datasets. Identify drawbacks in their current format, suggest improvements, and discuss common issues in messy datasets.

• What metrics would you use to determine the value of each marketing channel? Given marketing channels and their costs for a B2B analytics dashboard company, identify key metrics to evaluate the value of each channel.

• How would you determine the next partner card using customer spending data? Using customer spending data, outline a method to identify the best partner for a new credit card offering.

• How would you investigate if the redesigned email campaign led to the increased conversion rate? Analyze the impact of a redesigned email campaign on conversion rates. Determine if the increase is due to the campaign or other factors.

• Write a function search_list to check if a target value is in a linked list. Write a function, search_list, that returns a boolean indicating if the target value is in the linked_list or not. You receive the head of the linked list, which is a dictionary with keys value and next. If the linked list is empty, you'll receive None.

• Write a query to find users who placed less than 3 orders or ordered less than $500 worth of product. Write a query to identify the names of users who placed less than 3 orders or ordered less than $500 worth of product. Use the transactions, users, and products tables.

• Create a function digit_accumulator to sum every digit in a string representing a floating-point number. You are given a string that represents some floating-point number. Write a function, digit_accumulator, that returns the sum of every digit in the string.

• Develop a function to parse the most frequent words used in poems. You're hired by a literary newspaper to parse the most frequent words used in poems. Poems are given as a list of strings called sentences. Return a dictionary of the frequency that words are used in the poem, processed as lowercase.

• Write a function rectangle_overlap to determine if two rectangles overlap. You are given two rectangles a and b each defined by four ordered pairs denoting their corners on the x, y plane. Write a function rectangle_overlap to determine whether or not they overlap. Return True if so, and False otherwise.

• How would you design a function to detect anomalies in univariate and bivariate datasets? If given a univariate dataset, how would you design a function to detect anomalies? What if the data is bivariate?

• What are the drawbacks of the given student test score data layouts? Assume you have data on student test scores in two layouts (dataset 1 and dataset 2). What are the drawbacks of these layouts? What formatting changes would you make for better analysis? Describe common problems in “messy” datasets.

• What is the expected churn rate in March for customers who bought the product since January 1st? You noticed that 10% of customers who bought subscriptions in January 2020 canceled before February 1st. Assuming uniform new customer acquisition and a 20% month-over-month decrease in churn, what is the expected churn rate in March for all customers who bought the product since January 1st?

• How would you explain a p-value to a non-technical person? How would you explain what a p-value is to someone who is not technical?

• What are Z and t-tests, and when should you use each? What are the Z and t-tests? What are they used for? What is the difference between them? When should you use one over the other?

• How does random forest generate the forest and why use it over logistic regression? Explain how random forest generates multiple decision trees and combines their results. Discuss the advantages of using random forest over logistic regression, such as handling non-linear data and reducing overfitting.

• When would you use a bagging algorithm versus a boosting algorithm? Compare the use cases for bagging and boosting algorithms. Provide examples of tradeoffs, such as bagging reducing variance and boosting improving accuracy but being more prone to overfitting.

• How would you evaluate and compare two credit risk models for personal loans?

• Identify the type of model developed by the co-worker for loan approval.
• Describe how to measure the difference between two credit risk models over a timeframe, considering monthly installments.

• List metrics to track the success of the new model, such as accuracy, precision, recall, and AUC-ROC.

• What’s the difference between Lasso and Ridge Regression? Explain the key differences between Lasso and Ridge Regression, focusing on their regularization techniques and how they handle feature selection and multicollinearity.

• What are the key differences between classification models and regression models? Describe the main differences between classification and regression models, including their objectives, output types, and common use cases.

Are you ready for a rewarding career with Popular Bank? With a strong presence in Puerto Rico, the United States, and the Virgin Islands, we excel in offering financial solutions to our diverse communities. As a Senior Business Analyst, you'll be part of an innovative team driving product management and analytics.

If you're passionate about data, proactive, and intellectually curious, this role is for you. You'll have the chance to lead impactful projects, collaborate with key business functions, and provide actionable insights that drive business results.

To excel in this role, a bachelor's degree, 3-5 years of financial product reporting experience, and strong analytic skills are essential. Compliance or regulatory experience and expertise with data visualization tools are a plus.

For more insights about the company, check out our main Popular Bank Interview Guide, where we have covered many interview questions that could be asked. 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 Popular Bank 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!