Resurgent Capital Services is an industry leader in the financial services sector, specializing in asset management and recovery solutions. Known for its commitment to innovation and technological advancement, Resurgent Capital Services offers a dynamic and challenging environment.

As a Business Intelligence Analyst at Resurgent, you'll play a crucial role in analyzing complex data sets, creating insightful reports, and delivering key actionable insights. This position demands proficiency in data analysis, SQL, and BI tools, alongside sharp analytical and problem-solving abilities.

Ready to join an esteemed organization like Resurgent Capital Services? Our interview guide will walk you through their interview process, common questions, and provide invaluable tips to help you succeed. Let's get started!

Submitting Your Application

The first step in your journey to joining Resurgent Capital Services as a Business Intelligence professional is to submit a comprehensive application. You'll want to carefully review the job description and tailor your resume accordingly, using specific keywords that emphasize your technical skills and business intelligence expertise.

Highlight your prior experiences, technical proficiencies, and any relevant projects in your resume. Additionally, a well-crafted cover letter explaining your interest in the position and the company can make your application stand out.

Recruiter/Hiring Manager Call Screening

If your application makes it through the initial screening, you will be contacted by a recruiter from the Resurgent Capital Services Talent Acquisition Team. This call aims to verify your application details, including your work experience and skill levels. The recruiter may also ask some preliminary behavioral questions to gauge your cultural fit within the company.

Sometimes, the hiring manager may also join the call to discuss the role further and to answer any specific questions you might have about the company or the position. This call usually lasts about 30 minutes.

Technical Virtual Interview

Passing the recruiter round will earn you an invitation for a technical virtual interview. This stage typically involves a video conference where you'll be assessed on your technical skills relevant to Business Intelligence. This will likely include questions on data analysis, ETL processes, database management, and SQL.

For some positions, you may receive a take-home assignment that involves analyzing data sets, creating dashboards, or conducting data visualization projects. Your understanding of business metrics, reporting tools, and possibly even some machine learning basics may also be evaluated. This round generally lasts about an hour.

Onsite Interview Rounds

If you successfully navigate the technical interview, you may be invited for onsite interviews at Resurgent Capital Services. These could include multiple rounds that assess both your technical and behavioral competencies. You might be required to present your take-home assignment or walk through a case study during one of these sessions.

Your programming skills, ability to guide business decisions through data analysis, and proficiency with BI tools like Tableau or Power BI may be tested. These rounds are designed to evaluate whether you're a good fit for the team and the company's culture.

Quick Tips For Resurgent Capital Services Business Intelligence Interviews

• Master SQL and Data Manipulation: SQL is a cornerstone for any Business Intelligence role. Be prepared to handle complex SQL queries and data manipulation tasks during your interview.
• Know the Business: Understand the core business of Resurgent Capital Services. Familiarize yourself with their financial services and think about how business intelligence can drive decisions and improve processes within the company.
• Practice Communication Skills: Business Intelligence roles often require you to present data insights to non-technical stakeholders. Practice explaining technical concepts in a clear and concise manner.

Typically, interviews at Resurgent Capital Services vary by role and team, but commonly Business Intelligence 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.

• How would you reformat student test score data for better analysis? Given two datasets of student test scores, identify drawbacks in their current format. Suggest formatting changes to improve usability and discuss common issues in "messy" datasets.

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

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

• How would you investigate if a redesigned email campaign led to increased conversion rates? Analyze a scenario where a new email journey increased conversion rates from 40% to 43%, but rates were previously 45%. Determine if the redesign caused the increase or if other factors were involved.

• 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 value and next keys. 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. 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 subscriptions 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 the process of how random forest generates multiple decision trees to form a forest. 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 two machine learning algorithms. Describe scenarios where bagging (e.g., Random Forest) is preferred for reducing variance and boosting (e.g., AdaBoost) is preferred for reducing bias. Provide examples of tradeoffs between the two.

• What kind of model did the co-worker develop for loan approval? Identify the type of model used for predicting loan approval based on customer inputs. Discuss how to compare this model with another model predicting loan defaults, considering the monthly installment nature of personal loans. Specify 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 differences between Lasso and Ridge Regression, focusing on their regularization techniques. Highlight how Lasso performs feature selection by shrinking coefficients to zero, while Ridge penalizes large coefficients without eliminating features.

• What are the key differences between classification models and regression models? Describe the fundamental differences between classification models, which predict categorical outcomes, and regression models, which predict continuous outcomes. Discuss their respective use cases and evaluation metrics.

If you want more insights about the company, check out our main Resurgent Capital Services 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 Resurgent Capital Services’ 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 Resurgent Capital Services Business Intelligence 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!