Wells Fargo Data Analyst Interview Questions + Guide in 2024

Since its founding in 1852, Wells Fargo & Company has been committed to supporting customers in building businesses and managing their finances. Today, it’s a prominent financial services provider with around $1.9 trillion in assets. In the United States, Wells Fargo serves one in three households and over 10% of small businesses, establishing itself as a key player in middle-market banking.

Wells Fargo seeks data analysts who are highly analytical, collaborative, and possess strong communication skills. Successful candidates will be adept at leveraging data to drive strategic insights and influence decision-making across the organization.

In this guide, we’ll walk you through their interview process, commonly asked Wells data analyst interview questions, along with tips to help you excel in the interview.

Typically, the Wells Fargo data analyst interview process consists of 3-4 rounds. Here’s what you can expect at each stage:

Recruiter Call/Phone Screening

A short phone call with their recruitment team consists of sharing your work experience, projects you’ve worked on, and expectations. You’ll also learn more about Wells Fargo and its interview process at this stage.

Virtual Interviews

Wells Fargo’s virtual interviews primarily focus on assessing your technical knowledge. So be sure to review and brush up on data analytic (SQL, Python, case studies, and statistics/probability) concepts to succeed in this round.

Onsite Interviews

At the final stage, expect to be asked technical or coding questions along with behavioral interview questions to see if you fit in the company.

Here are some Wells Fargo data analyst interview questions you may get asked during the interview:

1. Why do you want to work at Wells Fargo?

2. Write a function fib which takes an integer n and returns the nth fibonacci number. For this question, fib MUST be recursively defined.

3. Implement the Fibonacci algorithm in three different methods (Recursively, Iteratively, Using Memoization)

4. Write a function rectangle_overlap to determine whether or not they overlap. Return True if so, and False otherwise.

5. Write a query to show the number of users, number of transactions placed, and total order amount per month in the year 2020. Assume that we are only interested in the monthly reports for a single year (January-December).

6. Given a employees and departments table, select the top 3 departments with at least ten employees and rank them according to the percentage of their employees making over 100K in salary.

7. How would you investigate if the new email campaign actually led to the increase in the conversion rate, and that the increase wasn’t instead the result of other factors?

8. Based on the customer spending data, how would you determine what the next partner card should be?

9. Write a query to get the total three-day rolling average for deposits by day.

10. What are the assumptions of linear regression?

11. Based on the following table, how would you measure the success of the email campaign and write a query to analyze the success of your campaign.

12. 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.

13. You are given two sentences as strings. Create a function that returns a list of all words that are not in both sentences.

14. You notice that the credit card payment amount per transaction has decreased. How would you investigate what happened?

15. Due to an ETL error, the employees table did an insert instead. How would you write a query to get the current salary for each employee?

16. Given two lists, write a function fund_return to calculate the total profit gained from investing in the index from the start to the end date. 

17. Talk about a time when you had trouble communicating with stakeholders. How were you able to overcome it?

18. How comfortable are you presenting your insights?

19. What projects did you work on in your previous position that will prepare you for this role?

20. How do you clean and organize a large dataset?

To ace the data analyst interview at Wells Fargo, you’ll need to highlight your technical expertise, analytical thinking, and good communication skills. Here’s a structured plan to help you prepare for the interview:

Understand the Role and Company

Familiarize yourself with the specific responsibilities of a Data Analyst at Wells Fargo. This might include data analysis, data visualization, and reporting. Review the job description to identify key skills and qualifications. Understanding Wells Fargo’s values and culture will also help you align your responses during the interview.

Practice Python and Quant Interview Questions

Given that Wells Fargo is a financial institution, it’s important to prepare for Quant interview questions that may assess your familiarity and experience with finance. As reported, Python is frequently asked during the technical rounds, so it’s important to refine your coding skills. Additionally, be sure to practice SQL, as it may also be part of the interview.

Given that Wells Fargo is a financial institution, it’s important to prepare for Quant interview questions that may assess your familiarity and experience with finance. As reported, Python is frequently asked during the technical rounds, so it’s important to refine your coding skills. Additionally, be sure to practice SQL, as it may also be part of the interview.

Don’t Forget to Practice Behavioral Interview Questions

Prepare to answer data analyst behavioral questions using the STAR (Situation, Task, Action, Result) framework. They may ask you about your experience working with different teams, dealing with difficult stakeholders, and prioritizing multiple deadlines.

Don’t Forget to Practice Behavioral Interview Questions

Getting real-time feedback is something you’ll need whenever you prep for an interview. Use our P2P Mock Interview Portal or AI Interviewer to receive personalized feedback on your answers making you well-equipped for your upcoming Wells Fargo data analyst interview.

What’s the average annual salary for a Data Analyst at Wells Fargo?

The salary for Wells Fargo data analysts ranges between $91k to $146K, with an average of $114k, depending on location and job role.

What other companies are hiring data analysts besides Wells Fargo?

Numerous companies are hiring data analysts across various industries. Some well-known examples include Meta, JPMorgan Chase, and Amazon

Does Interview Query have job postings for Wells Fargo data analyst role?

Be sure to check out our Job Board to check out current opportunities.

Preparing for the data analyst role at Wells Fargo can be challenging, but we hope this guide has provided you with valuable insights and strategies to help you succeed.

As you get ready for your interview, remember to be confident in your skills and experiences, and don’t hesitate to highlight your unique perspective. Best of luck on your interview journey!