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Top 22 Business Analyst Interview Questions + Guide (Updated in 2025)

Top 22 Business Analyst Interview Questions + Guide (Updated in 2025)

Overview

Most problems inside an organization are deep-rooted. Identifying the causes and intricacies and providing high-level solutions require more than just domain knowledge. Business analysts tackle these challenges daily — and business analyst behavioral interview questions and other business analyst interview questions help identify the best candidates.

This module covers two crucial parts for acing the business analytics interview.

First, you should deeply understand the role of a business analyst. Second, you must be prepared for the tools and skillsets required, especially potential business analyst interview questions, including business analyst behavioral interview questions.

Let’s start by understanding the role.

What is a Business Analyst?

At a high level, business analysts bridge the gap between an organization’s IT and business domains. Business analysts are “problem solvers” to meet an organization’s processes, goals, and strategies.

For example, suppose you work as the Director of Operations for Wacky Donald’s fast-food restaurant chain. Over the last six months, Wacky Donald’s has seen a decline in overall sales despite lowering prices during a high inflation period.

With stiff competition, declining sales figures, and higher costs, Wacky Donald’s will struggle without any action. As the Director of Operations, it’s your task to hire the right people— a business analyst, to assess how to fix issues.

The Business Analyst Interview Process

The interview process for a business analyst is straightforward, functional, complex, and multi-faceted, depending on the company.

When we pivot to examine an industry giant like Google, their process for hiring a business analyst is known for its depth and thoroughness. As an example, let’s delve into the specifics of Google’s Business Analyst interview process.

1. Technical Assessment: At Google, interviewers evaluate your technical knowledge and experience with relevant tools and systems. This includes discussing how you’ve utilized specific technologies in past roles and your ability to adapt to new tools. For example, the interviewer might ask you to calculate the cumulative sales of each product.

2. Understanding of Role and Responsibilities: Questions are designed to gauge your understanding of the business analyst role. This part of the interview process often involves discussing how you would handle typical tasks and responsibilities associated with the position.

Google’s interviewers might ask questions such as “When dealing with a logistics problem caused by delayed invoices, what department should you approach first? The accounts payable or the logistics department? Why?”.

3. Behavioral and Situational Analysis: The process includes situational and behavioral questions to assess your problem-solving abilities, decision-making skills, and how you handle various work-related scenarios, especially in challenging situations or when dealing with changes in project scope.

At Google, business analytics behavioral questions don’t necessarily have to be related to business analytics. For example, some interviewers might ask how you might deal with team conflicts or how clashing ideas might be resolved.

What Kinds of Questions Get Asked For a Business Analyst Role?

Like most interviews, business analyst interview questions are loosely based on what business analysts do daily.

Business analysts are often concerned with cross-functional collaboration, problem-solving, and leveraging business tools to formulate solutions, identifying and querying business data sources, and knowing the proper toolkits for data manipulation and presentation.

When do you get technical questions vs non-technical ones?

Business analyst positions have vastly different job descriptions, and the role is definitely non-uniform throughout different industries. For example, some business analyst roles might focus more on data analysis to solve and identify business problems. These are common for positions in large companies (think Google and Amazon) where data (both from operations and internal) are abundant and ripe for analysis. For these companies, technical questions are of greater importance.

On the other hand, for startups and smaller organizations, there might not be enough data for insight, so most business analysts work with simpler tools such as Excel or PowerBI. In such cases, business analyst roles play more into making a seamless cross-team collaboration platform, identifying and formulating solutions affecting multiple teams. In such instances, having robust interpersonal skills is a big plus, making non-technical, behavioral questions a common category of interview questions in these roles.

The role of a business analyst can vary significantly between different organizations. This variation is due to factors such as industry, company size, and project specifics— even company culture plays a role. To address how job descriptions differ from company to company, let’s look at how industry leaders define the business analyst’s role and assess how technical and non-technical questions come up.

Amazon

Amazon’s Business Analyst interviews focus on technical and behavioral aspects. Interviewees should anticipate questions on SQL, data modeling, and other technical skills alongside behavioral questions aligned with Amazon’s leadership principles. SQL questions might cover joins, aggregations, and basic data manipulations, while behavioral questions aim to gauge the candidate’s fit with Amazon’s culture and problem-solving approach.

Preparation should include practicing SQL, understanding Amazon’s leadership principles, and being ready to discuss past experiences in data analysis.

Google

Google evaluates Business Analyst candidates through a mixture of technical, case, and behavioral questions. The technical portion often encompasses SQL and data analysis, while case questions explore problem-solving and business acumen.

Behavioral questions, on the other hand, assess how candidates align with Google’s culture and values. Preparing for a Business Analyst role at Google entails brushing up on SQL, data structures, practicing case studies, and understanding Googleyness and showcasing a passion for the role.

Meta (Facebook):

The interview process at Meta requires candidates to understand the necessary skills for Business Analyst roles and practice real interview questions. It’s important to research the company, review job requirements, and be ready to work with business intelligence solutions like Power BI and Tableau. Meta values effective communication and problem-solving skills, which are often assessed through behavioral questions.

Microsoft

Microsoft’s interview process includes a series of interviews for Business Analyst roles. Initial interviews analyze communication skills and alignment with the role, followed by technical interviews covering programs and analytical skills.

The interview process might also include a review of financial statements and contracts. Candidates should demonstrate how they meet the job qualifications by sharing specific examples or ideas on accomplishing tasks.

Apple

Interviews at Apple encompass a basic conversation with recruitment, technical assessments on forecasting, Excel, SQL, and evaluations, followed by further discussions on background and interest in the role with team leads and managers.

The interview process is known to be competitive and thorough, aiming to evaluate a candidate’s skills and knowledge and determine if they fit with Apple’s culture and values. Discussing business models and presenting ideas to Apple representatives are part of the process.

Business Analyst Behavioral Interview Questions

Business analyst behavioral interview questions play strong with the first narrative of what business analysts do daily — “cross-functional collaboration.” At its core, business analyst behavioral interview questions test an applicant’s ability to communicate effectively.

As mentioned earlier, business analysts must collect primary and structured data. Primary data collection is what we refer to as interviews and surveys. To be able to do proper primary data collection, a business analyst must have strong social skills. Here are the most often asked business analyst behavioral interview questions to test your social skills.

Question
Topics
Difficulty
Ask Chance
Pandas
Easy
Very High
Pandas
Medium
Very High
A/B Testing
Medium
High
Zxgzdw Mvhgvo
Analytics
Hard
Medium
Cnmcltx Olxebtl Bhup
Machine Learning
Medium
Medium
Ppwys Lcxxvyzu
Machine Learning
Easy
Very High
Rkihip Opepo Akgbxry Txadomhx
Machine Learning
Hard
Very High
Xmtnymg Jxqt
SQL
Medium
Very High
Xgajgflm Reeejg Haocjpsx
SQL
Hard
High
Iatsgl Ganuvjnt
Machine Learning
Easy
Low
Tjpill Cdacluf Ygpywd Yohdcnk
SQL
Medium
Very High
Pkqayog Iudxq Xnud Hirakp Oodn
Analytics
Easy
High
Tmkcj Vqxksup Afqxlfhn
Machine Learning
Hard
Medium
Xell Tbeqo
Machine Learning
Medium
Medium
Shcpqyz Cmjr Edsft Vnuzwb Ntyepfsc
SQL
Medium
Very High
Doby Flxx Lxjfijw Fzpbmpvv Vqditvs
Analytics
Hard
Very High
Fmwmo Ifjzoa Reexwr Neswcepx
Machine Learning
Medium
Medium
Oahuiqz Lonagmp Zpfud
SQL
Hard
Very High
Ialmhsx Xxny Ntfm Qbufb
SQL
Easy
High
Mrqdivam Uebohjbc Shipm Mkmozf Quxmjep
Analytics
Medium
High
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1. Describe a project where you successfully collaborated with a team.

This question aims to assess a candidate’s teamwork and collaboration skills. In their answer, the interviewee should demonstrate their ability to work effectively with others, communicate their ideas, and possibly even lead a team towards a shared goal. This question also offers insights into how candidates navigate group dynamics.

As a business analyst, it’s your task to build a bridge between the technical and business departments. Knowing how to collaborate between teams is an essential skill.

2. Can you recall a situation when you had to explain complex data findings to a non-technical audience?

This question focuses on the candidate’s communication skills, particularly their ability to simplify and convey complex information. A competent business analyst should be able to translate complex data findings into clear, actionable insights that stakeholders from various backgrounds can understand and act upon.

3. Tell me about a project that didn’t go as planned. How did you handle it?

Here, the focus is on a candidate’s problem-solving and adaptability skills. Projects often face unforeseen challenges, and knowing how to navigate these setbacks is crucial. Business analysts often speak to stakeholders and relay the issues to the relevant people. By discussing a challenging project, candidates can highlight their approach to troubleshooting, adapting, and possibly even turning the situation around.

4. Describe a time when you had to manage conflicting requirements from multiple stakeholders.

Handling conflicting requirements is a common challenge in the business analyst role. Translating client requests to technical requirements is already tough, which can be more stressful with conflicting requests. This question examines the candidate’s negotiation, prioritization, and interpersonal skills. The candidate’s response should highlight how they negotiated and ultimately prioritized requirements based on the project’s goals and constraints.

5. Tell us about an experience where you had to make a crucial decision based on incomplete data. What was the outcome?

This question delves deep into a candidate’s analytical and decision-making abilities. More often than not, you’re given incomplete data, and it’s your job as the business analyst to figure out what the client needs and wants. Because some stakeholders may not fully understand a project’s full scope and potential, it’s important to demonstrate that you can recognize gaps in requirements and fill them in.

In a dynamic business environment, waiting for complete data might not always be an option. A seasoned business analyst should be able to discuss their method for evaluating available data, gauge risks, and make informed decisions even with missing information. The outcome– positive or negative– offers further discussion points on adaptability.

6. What are your three biggest strengths and weaknesses you have identified in yourself?

When discussing strengths, first ask yourself, “What sets me apart from others?”. Focus on those strengths you can back up with examples using the STAR method, showing how your strength solved a business issue. If you have no prior full-time work experience, feel free to mention takeaways or projects from classes you have taken or initiatives from past part-time jobs.

For your weaknesses, the point of the question is to identify that you can recognize your limits and develop effective strategies to manage the weaknesses’ effect on your performance and the business.

7. Tell me about a project where you had to clean and organize a large dataset.

A good clarifying question would be: “What do you consider a large dataset?” This won’t necessarily change your answer, but it will show that you’re detail-oriented.

If you haven’t worked with a “large” dataset, choose a project with a smaller dataset requiring much data cleaning and describe how you might scale what you learned to a larger dataset.

Business Analyst Case Study Interview Questions

In a nutshell, all of the problems business analysts face daily are case studies, with the organization as the context. Case studies play with the second narrative of what business analysts do daily: “problem-solving and leveraging business tools to formulate solutions.”

Here are some of the best case study interview questions to explore if you want to ace your business analyst interview.

Question
Topics
Difficulty
Ask Chance
Pandas
Medium
Very High
Pandas
Easy
Very High
A/B Testing
Medium
High
Eggwsjmd Fnwbecy Xnid
SQL
Medium
Very High
Kfrrdi Geoiste Juhby Thicfv Muzyfzvp
Analytics
Hard
Medium
Tcmldx Tzrtks
SQL
Medium
Medium
Nfsckv Eyuors
Analytics
Easy
Low
Fbyrkjn Jbnrt
Analytics
Easy
Low
Gurmct Adpsq Hlht
Machine Learning
Easy
Medium
Ckog Fqowwmmu
Analytics
Hard
Medium
Benxqc Eldi Ptwj Vydcjt
SQL
Hard
Very High
Cepvh Gyysngx Yrmsl
Analytics
Easy
High
Nvjwuhyg Jzoox Qwvcd Gpap Lutdiy
Analytics
Medium
Medium
Tmymky Hqvrj Hkvkw Czrknu
Machine Learning
Easy
High
Qmemmkr Cosnbda
Analytics
Medium
Medium
Qqoqcvne Otvuhz
Analytics
Hard
Very High
Lndaonmk Qesb Henxjy Vdke
Machine Learning
Medium
Medium
Hsomumum Ulkuzc
Analytics
Easy
High
Wmpgei Wfzsoxct Uokxwuaj
Machine Learning
Hard
Very High
Rtvrwv Inkueeh
SQL
Easy
Very High
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8. Goodwater Capital Case Study: How would you evaluate a new e-commerce startup?

This analytical challenge requires you to understand quantitative data and interpret the qualitative nuances behind the numbers. With the given datasets, can you build a predictive model to forecast sales, evaluate the potential success of a new e-commerce entity, and pinpoint any gaps in the provided data? Your insights should be cohesive and well-structured to present to a data-savvy audience.

9. Determine whether adding a feature identical to Instagram Stories to Meta is a good idea.

Consider different user groups on the platform and how engagement varies across these groups. How would this help you decide whether to add a new Stories feature?

10. How would you measure the success of acquiring new users through a free trial?

Let’s say we offer a subscription where customers can enroll for a 30-day free trial at Netflix. After 30 days, customers will be automatically charged based on the package selected.

How can we measure acquisition success, and what metrics can we use to measure the success of the free trial?

11. How would you promote the Instagram app on Meta?

Let’s say you work on the growth team at Meta and are tasked with promoting Instagram from within the Meta app.

Where and how could you promote Instagram through Meta?

Note: Like typical product questions where we’re analyzing a problem and coming up with a solution with data, we have to do the same with growth, except our solutions are in the form of growth ideas and provide data points for how they might support our hypothesis.

For example, we can explore network effects to see how the presence of relevant users (such as friends or people with mutual interests) adds value to a product for an individual.

12. How would you set up a forecast model of a company’s revenue for the coming year?

Let’s say you work on the revenue forecasting team at a company like Meta.

An executive comes to you asking about how much revenue Meta will make in the coming year.

How would you forecast revenue for the next year?

Highly Technical: Business Analyst SQL Interview Questions

Let’s refer again to what was mentioned earlier: “Business analysts need to collect primary and structured data.” When we say structured data, we often refer to data from an organization’s database pool. Returning to the narratives of what business analysts do daily, the third point mentions that they must know how to “identify and query business data sources.”

Most organizations use databases that follow the relational model, and to access these databases, business analysts must know Structured Query Language (SQL). Here are some of the most common SQL questions business analysts encounter.

Question
Topics
Difficulty
Ask Chance
Pandas
Medium
Very High
Pandas
Easy
Very High
Product Metrics
Hard
High
Myskmagp Onodnj
Analytics
Medium
Medium
Wjiuhc Ldovymr
Machine Learning
Hard
Medium
Gennmbl Psaxcs
SQL
Hard
Medium
Pxnh Ljfp Dhkywaf Bcosbv Mgkiz
Machine Learning
Hard
High
Jpwrqx Qtro Ayfyaeeh
Machine Learning
Easy
Medium
Eyjs Maar Stvmfkrv Izouow Ejcbswro
SQL
Hard
Very High
Zywgands Mhxd
Machine Learning
Hard
Medium
Cqbk Tqmqiw Cuitdsyv Yfww
Machine Learning
Easy
High
Zmmxikr Nubk
Machine Learning
Medium
Low
Dxqnok Wajga Csonca Wvhshcfm
SQL
Easy
Very High
Zrllxadf Ovjbnnwn
SQL
Medium
Very High
Ioxbqr Ruht Ccgcer Fdtsb Vrnwl
Machine Learning
Hard
Medium
Oqqyv Xkdmptv Iqdgw
Machine Learning
Hard
Medium
Riuaj Dgez Ezlaimy Ehvgoc
Machine Learning
Hard
Medium
Jeukctgc Roohb Utcbl Qgtjrere Wpgxmo
Machine Learning
Easy
High
Rfomhrbo Ohphszb
SQL
Hard
Low
Kwre Ipszjso Hwtv Vipykbb
SQL
Hard
Low
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13. Find the number of customers who were able to send and receive more than $100 in their first month.

You’re given two tables: payments and users. The payments table holds all payments between users, with the payment_state column consisting of either "success" or "failed".

How many customers who signed up in January 2020 had a combined (successful) sending and receiving volume greater than $100 in their first 30 days?

Note: The sender_id and recipient_id both represent the user_id.

14. Calculate the t-value and degrees of freedom for a test comparing the average price of different products.

Let’s say you are managing products for an eCommerce store. You think products from category 9 have a lower average price than those in all other categories. Calculate the t-value and degrees of freedom for such a test. You do not need to calculate the p-value of the test.

15. Find the total amount spent on each item by Costco users in a specific year.

Let’s say you work at Costco. Costco has a database with two tables. The first is users, which is composed of user information, including their registration date, and the second is purchases, which has the entire item purchase history (if any) for those users. Write a query to get the total amount spent on each item in the ‘purchases’ table by users registered in 2022.

16. Write a query to get the Top 5 users with the longest continuous streak of site visits.

Given a table with event logs, find the Top 5 users with the longest continuous streak of visiting the platform in 2020. A continuous streak counts if the user visits the platform at least once per day on consecutive days.

17. Determine the Top 5 paired products that the same users purchase.

Let’s say we have two tables, transactions and products. Hypothetically, the transactions table has over a billion rows of user purchases.

We’re trying to find paired products often purchased by the same user, such as wine and bottle openers, chips and beer, etc.

Write a query to find the Top 5 paired products and their names.

Highly Technical: Business Analyst Python Interview Questions

Now, you have the data collected, aggregated, and prepared. You have digitized and analyzed interview reports; what will you do with it now?

Business analysts are not known to delve into the intricacies of software engineering despite working heavily with IT teams. However, as mentioned in the fourth narrative, Python programming plays an important role in data preparation and presentation.

Business analysts need to know how to present data in a way that is comprehendible, even with non-technical peers. Here are some of the common Python interview questions you might encounter in your next business analyst interview.

18. Write a function cheese_median to impute the median price of the selected California cheeses.

You’re given a dataframe df_cheeses containing a list of the price of various kinds of cheese from California. The dataframe has missing values in the price column.

Write a function cheese_median to impute the median price of the selected California cheeses in place of the missing values. You may assume at least one cheese is not missing its price.

19. Write a code function in Pandas called `bucket_test_scores to return the cumulative percentage.

Let’s say you’re given a dataframe of standardized test scores from grades 9 to 12 high schoolers called df_grades.

Given the dataset, write a code function in Pandas called bucket_test_scores to return the cumulative percentage of students that received scores within the buckets of <50, <75, <90, <100.

20. Write a function to fill the NaN values in the value column with the previous non-NaN value from the same client_id ranked in ascending order.

Given a dataframe with three columns:

  • client_id
  • ranking
  • value

Write a function to fill the NaN values in the value column with the previous non-NaN value from the same client_id ranked in ascending order.

If a previous client_id doesn’t exist, then return the previous value.

21. Write a function to return a dataframe containing every transaction with a total value of over $100. Include the total value of the transaction as a new column in the dataframe.

You’re given two dataframes: transactions and products.

The transactions dataframe contains transaction IDs, product IDs, and the total amount of each product sold.

The product dataframe contains product IDs and prices.

Write a function to return a dataframe containing every transaction with a total value of over $100. Include the total value of the transaction as a new column in the dataframe.

22. Write a function named grades_colors to select only the rows where the student’s favorite color is green or red and their grade is above 90.

You’re given a dataframe of students named students_df:

students_df table

name age favorite_color grade
Tim Voss 19 red 91
Nicole Johnson 20 yellow 95
Elsa Williams 21 green 82
John James 20 blue 75
Catherine Jones 23 green 93

Write a function named grades_colors to select only the rows where the student’s favorite color is green or red and their grade is above 90.

Question
Topics
Difficulty
Ask Chance
Pandas
Easy
Very High
Pandas
Medium
Very High
A/B Testing
Medium
High
Qxpw Szmm Lvsjlpo Apox
Machine Learning
Easy
Medium
Zjmcm Ucnruylu Crcsadpv
Machine Learning
Medium
Very High
Rfeiyu Ojowozke Ntkkbxe
Analytics
Hard
Very High
Zdfwt Cntwnb Bzubpgj Hxytm
Analytics
Easy
Low
Anpmv Ttqqxamo Usubah
SQL
Hard
Medium
Sqofvr Xzqwj
Machine Learning
Hard
High
Xphnjv Qtqxbaxk Pknp Pvpp
Analytics
Hard
Low
Momfsft Tvlhidvx Juqsduz Kwzo Rqchsea
Analytics
Easy
High
Sixnos Tegzotka
SQL
Hard
Medium
Knxhcmxj Zoovr Itelbd Gbsqdyu
Machine Learning
Hard
Very High
Sgkysrva Vbiamv Rdriv Cddwtaji
Analytics
Medium
High
Xrqowd Nggng Nedd
Analytics
Medium
Medium
Htbxxeyd Vrpka Cjlwbxfv Ykhxnytn
Machine Learning
Hard
High
Bkwwxqf Aafadvva
SQL
Hard
High
Memtn Zhyrn Bzxayyk Mhpwmii Dvdkmf
SQL
Easy
Medium
Kayti Tzgpdhc Yriwh Eoaxabhn Pdtkf
Machine Learning
Medium
High
Mwvbpucn Lwsubpo
Machine Learning
Medium
Medium
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Conclusion

Now that you have a better idea of the top business analyst questions you may answer during an interview, let Interview Query continue to help you prepare. We also provide learning paths, coaching, and mock interview resources.

Please check out our company interview guide section for ideas on which companies are best for hiring business analysts.