Wells Fargo || Technology Summer Analyst 2026 || On-Campus

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· Technology Summer Analyst 2026· On-Campus
May 26, 2025 · 86 reads

Summary

I experienced an interview process for the Technology Summer Analyst 2026 role at Wells Fargo, which included an online assessment, two technical rounds covering DSA, OOPs, DBMS, projects, and a final HR/managerial round. The process primarily focused on my problem-solving skills, technical knowledge, and behavioral attributes.

Full Experience

📍 Online Assessment (OA) : The OA consisted of multiple sections with no backtracking (i.e., once a question is opened, you can't revisit it). The structure was:

GenAI-based questions (10): Conceptual and scenario-based questions related to AI and its applications.

Data Interpretation:

Pie charts, bar graphs, and table-based questions

Verbal English section (2 comprehension passages with related MCQs)

DSA Coding (3 Questions):

Easy: Array-based question on computing the square root of a number.

Medium: Longest Common Prefix from a vector/array of strings (return as a string).

Hard: Graph-based question – find an Euler path such that all nodes are visited.

💻 Technical Interview Round 1 (40 -45 Minutes) : Introductory discussion followed by core CS and DSA topics. OOPs Concepts: Inheritance and other basic principles.

DSA Questions: Count frequency of elements in an array. Compare two dates in "dd/mm/yyyy" format and identify the later one.

DSA Theory Questions: What is a HashMap? Is it faster than an array? If yes, why?

DBMS concepts:

Types of Joins Given a scenario, write an SQL Query Design a database and explain keys and their differences Projects & Internship: Questions about your Flutter + Firebase projects Asked how you resolved technical challenges Tools/Technologies used Asked about Java and Spring Boot (I clarified these were not in my resume, and the interviewer was fine with that)

💻 Technical Interview Round 2 (25 -30 Minutes) : Focused on Resume-based Discussion: Projects, internship role, and problem-solving approach Tech stack used: Flutter, Firebase, MongoDB Concepts in JavaScript (especially filters) Play Store Deployment process

DBMS: Indexing: types and real-life use cases What is Flutter? Why use it? Flutter UI (widgets, layouts, responsiveness)

💬 HR + Managerial Round Behavioral and situational questions

Focus on: Team collaboration Handling failure Decision-making in critical scenarios

Interview Questions (13)

1.

Compute Square Root

Data Structures & Algorithms·Easy

An array-based question on computing the square root of a number.

2.

Longest Common Prefix

Data Structures & Algorithms·Medium

Find the longest common prefix from a vector/array of strings and return it as a string.

3.

Find Euler Path to Visit All Nodes

Data Structures & Algorithms·Hard

A graph-based question to find an Euler path such that all nodes are visited.

4.

Count Element Frequencies in Array

Data Structures & Algorithms

Count the frequency of elements in a given array.

5.

Compare Dates

Data Structures & Algorithms

Compare two dates provided in "dd/mm/yyyy" format and identify which one is later.

6.

HashMap vs Array Performance

Data Structures & Algorithms

Explain what a HashMap is. Discuss if it is faster than an array, and if so, explain why.

7.

Database Join Types

Other

Explain different types of Joins in DBMS.

8.

Write SQL Query for a Scenario

Other

Given a specific scenario, write an appropriate SQL Query.

9.

Database Design and Keys

System Design

Design a database and explain various types of keys and their differences.

10.

Database Indexing Types and Use Cases

Other

Explain different types of indexing in databases and their real-life use cases.

11.

Team Collaboration Scenario

Behavioral

Behavioral question focusing on experiences and approaches to team collaboration.

12.

Handling Failure Scenario

Behavioral

Behavioral question focusing on experiences and approaches to handling failure.

13.

Decision-Making in Critical Scenarios

Behavioral

Behavioral question focusing on experiences and approaches to decision-making in critical scenarios.

Preparation Tips

🔑 Tips: Prepare DBMS deeply: Especially joins, indexing, and keys Be thorough with OOPs concepts Practice easy- medium-level DSA Know your resume inside-out – be honest about what you’ve worked on Your project and techstack related questions.

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