Flexshopper is a trailblazing company specializing in lease-to-own solutions, providing consumers with flexible payment plans for a wide range of products. Known for its innovative approach and commitment to customer satisfaction, Flexshopper stands out in the retail finance sector.

Joining Flexshopper as a Business Intelligence (BI) professional means delving deeply into data analytics, transforming data into actionable insights that drive business decisions. The role demands proficiency in data analysis, reporting, data integration, and strong problem-solving skills. As a BI Specialist, you will collaborate with various departments to optimize business processes and improve decision-making strategies.

Our guide on Interview Query will walk you through Flexshopper's interview process, including typical interview questions and key tips to help you succeed. Let's embark on this journey to secure your role in this dynamic and forward-thinking company.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Flexshopper as a Business Intelligence professional. Whether you were contacted by a Flexshopper 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 Flexshopper 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 Flexshopper 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 Flexshopper Business Intelligence role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Flexshopper’s data systems, ETL pipelines, and SQL queries.

For the 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 Flexshopper 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 Flexshopper.

Quick Tips For Flexshopper Business Intelligence Interviews

• Know Your Data: Flexshopper values candidates who are well-versed in data analytics and visualization tools. Be prepared to discuss your experiences with data systems, ETL pipelines, and the tools you have used.
• Stay Current with Business Trends: Understanding the e-commerce and leasing retail market can give you an edge. Flexshopper appreciates candidates who can bring in insights related to current market trends and consumer behaviors.
• Emphasize Problem-Solving Skills: Business Intelligence roles require strong problem-solving abilities. Prepare to demonstrate your analytical thinking and how you've previously used your skills to tackle complex problems.

Typically, interviews at Flexshopper 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 for a company? With access to customer spending data, outline a method to identify the best partner for a new credit card offering.

• How would you verify if a redesigned email campaign increased conversion rates? Investigate whether a new email journey led to an increase in conversion rates, considering other potential influencing 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 datasets, and how would you reformat them for better analysis? Assume you have data on student test scores in two different layouts. Identify the drawbacks of these layouts, suggest formatting changes for better analysis, and describe common problems in "messy" datasets.

• What is the expected churn rate in March for customers who bought a subscription 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, calculate 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? Describe what a p-value is in simple terms for someone who is not familiar with technical or statistical concepts.

• What are Z and t-tests, and when should you use each? Explain what Z and t-tests are, their uses, the differences between them, and when to 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 and describe scenarios where bagging is preferred over boosting. Provide examples of the tradeoffs, such as variance reduction in bagging and bias reduction in boosting.

• 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 the metrics to track for measuring 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.

What is the average salary for a Business Intelligence at Flexshopper?

Q: What is Flexshopper and what do they do?

Flexshopper is a company that provides leasing and rental options for various products, including electronics, furniture, and appliances. They aim to offer flexible payment solutions for customers who may not have immediate access to credit.

Q: What does the Business Intelligence (BI) position at Flexshopper entail?

The BI position at Flexshopper involves analyzing data to provide insights that help drive business decisions. Responsibilities include creating dashboards, generating reports, and conducting data analysis to support various departments within the company.

Q: What skills are required for the Business Intelligence position at Flexshopper?

To excel in the BI role at Flexshopper, candidates need strong analytical skills, proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI. Experience with data warehousing and ETL processes is also a plus.

Q: What is the interview process for the Business Intelligence position at Flexshopper like?

The interview process typically starts with a phone screen to discuss your background and qualifications. This is followed by technical interviews that test your data analysis and problem-solving skills. Finally, there may be onsite interviews to assess cultural fit and further delve into your technical expertise.

Q: How can I prepare for the interview at Flexshopper?

To prepare for an interview at Flexshopper, research common BI interview questions and practice your SQL and data visualization skills. Utilize Interview Query to practice tailored mock interviews and review common industry-specific questions. Make sure you understand Flexshopper's business model and be ready to discuss how your skills can add value to their team.

Whether you're aiming to land a Business Intelligence role at Flexshopper or exploring other positions, getting well-prepared is crucial for success. If you want more insights about the company, check out our main Flexshopper 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 Flexshopper’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 Flexshopper 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!