Intuit Data Analyst Interview Questions + Guide 2024

Intuit is a global financial software company known for products like QuickBooks, TurboTax, and Mint, which help millions of customers manage their finances, streamline their accounting processes, and maximize tax returns. Intuit’s mission is centered around powering prosperity through innovative and user-friendly financial solutions.

The Data Analyst position at Intuit focuses on leveraging data to drive business insights and support strategic decision-making. This role involves significant analytical expertise, proficiency in SQL, Python, or other scripting languages, and the ability to communicate data-driven narratives effectively. Successful candidates will collaborate with various teams to improve performance, develop advanced reporting, and influence key company metrics.

If you’re aiming to join Intuit as a Data Analyst, this guide is designed for you. We’ll walk you through the interview process, reveal common questions, and provide invaluable tips to help you succeed in landing a role at this dynamic company.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Intuit as a data analyst. Whether you were contacted by an Intuit 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 is shortlisted, a recruiter from the Intuit 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 Intuit data analyst 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.

Online Data Test

Applicants often start with an online data test that includes SQL and data set manipulation tasks. This assessment usually consists of multiple-choice questions and coding questions specifically focused on SQL. Getting a high score on this test is crucial for progressing further in the interview process.

Technical Virtual Interview

If you pass the initial assessment, you will be invited for a virtual technical interview. This 1-hour interview usually involves questions revolving around Intuit’s data systems, SQL queries, and your daily role of processing data. Additional questions about general statistics, probability, and data visualization might also be discussed.

Virtual 1-on-1 Interview with Hiring Manager

In this round, you will have a 20-minute interview with the hiring manager, discussing your current role, why you think you’re a good fit for the role, and your five-year plan. This is followed by another 45-minute interview with a manager, where they delve deeper into your past job experiences and technical skills.

Onsite Interview Rounds

After successfully navigating through previous rounds, you will be invited for an onsite interview loop. This involves multiple interview rounds over about four hours, where your technical prowess, including programming skills and data modeling capabilities, is evaluated.

Intuit calls this stage “Assessing for Awesomeness” (A4A). It will likely include scenario-based questions related to business problems, SQL, Python, large datasets, and a presentation on a provided use-case to demonstrate your analytical skills.

After all the onsite rounds, they might make you an offer, which you will typically have to accept within 24-48 hours.

Tips For Intuit Data Analyst Interviews

• Be Prepared for a Rigorous Process: Intuit’s hiring process can be extensive, often involving multiple stages including online tests, virtual interviews, and onsite evaluations.
• Highlight Your Analytical Skills: Use data-driven examples in your past experiences to demonstrate your problem-solving skills, particularly in SQL, data visualization, and large datasets.
• Cultural Fit: Show that you understand Intuit’s culture, which includes a high percentage of contractors. Be prepared to discuss how you might fit into that environment and work collaboratively.

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

• What are the drawbacks of the given data layouts, 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 and suggest formatting changes to make the data more useful for analysis. Additionally, describe common problems seen in “messy” datasets.

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• Write a function to merge two sorted lists into one sorted list. Given two sorted lists, write a function to merge them into one sorted list. Bonus: What’s the time complexity?

• Write a function missing_number to find the missing number in an array. You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of (O(n)) required.

• Write a function precision_recall to calculate precision and recall metrics from a 2-D matrix. Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics. Return the ordered pair (precision, recall).

• Write a function to search for a target value in a rotated sorted array. Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand. You are given a target value to search. If the value is in the array, then return its index; otherwise, return -1. Bonus: Your algorithm’s runtime complexity should be in the order of (O(\log n)).

• What are the drawbacks of having student test scores organized in the given layouts? Assume you have data on student test scores in two different layouts. Identify the drawbacks of these layouts and suggest formatting changes to make the data more useful for analysis. Additionally, describe common problems seen in “messy” datasets.

• What could be the cause of the decrease in overall capital approval rates? Capital approval rates dropped from 85% to 82% this week, a statistically significant reduction. Individual product approval rates either stayed flat or increased. Analyze potential causes for the overall decrease.

• What is the total distance the dog covers once the man reaches the end of the field? A man and a dog start running towards each other on a 100-foot-long football field. The man runs at (x) ft/s, and the dog runs at twice the man’s speed. Each time the dog reaches the man, it runs back to its starting end and repeats. Calculate the total distance the dog covers by the time the man reaches the end of the field.

• - How would you combat overfitting when building tree-based models? If you’re training a classification model, how would you address overfitting issues specifically in tree-based models?

What is the average salary for a Data Analyst at Intuit?

Q: What is the interview process for the Data Analyst position at Intuit? The interview process at Intuit typically consists of multiple stages: an initial phone or video screening by a recruiter, an online technical test (usually focused on SQL and data manipulation), followed by one-on-one interviews with hiring managers and potential team members. These interviews often include behavioral questions, technical assessments, and case studies.

Q: What technical skills are required for a Data Analyst role at Intuit? Candidates should have strong proficiency in SQL, data visualization tools like Tableau, and experience with statistical analysis and scripting/programming languages such as Python or R. Familiarity with big data technologies and cloud platforms (e.g., Google BigQuery, Redshift) is also preferred.

Q: What is Intuit’s company culture like, particularly in the data department? Intuit values creativity, collaboration, and diversity. While there has been feedback about hiring a significant number of contractors, the company aims to foster a dynamic, inclusive environment that encourages innovation and continuous learning.

Q: How can I prepare for an interview at Intuit? To prepare for an Intuit interview, research the company thoroughly, practice SQL and database manipulation problems, review statistical concepts, and familiarize yourself with behavioral interview questions. Utilize resources like Interview Query to practice common interview questions and scenarios.

Q: What responsibilities can I expect as a Data Analyst at Intuit? As a Data Analyst at Intuit, you will be responsible for driving business results through data-driven insights, developing and maintaining dashboards, optimizing product performance, and collaborating with cross-functional teams to improve customer experiences. You will also work on automating data processes and presenting insights to senior leadership.

Preparing for a Data Analyst position at Intuit involves rigorous steps and strategic planning. While the interview process may seem daunting, understanding the company’s culture and the tools they use can give you a substantial edge. It’s vital to be well-prepared in SQL, data manipulation, statistical analysis, and data visualization tools like Tableau and PowerBI, as these are commonly assessed in their interviews.

If you want more insights about the company, check out our main Intuit Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as Quickbooks Marketing Analytics and Mailchimp Analytics, where you can learn more about Intuit’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 Intuit data analyst 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!