Business Analyst Interview Questions

Aishwarya J. - "Analytics as a career route was to problem solve and think out of the box , where I would be able to inculcate a data-driven thinking to finding solutions. Establishing a foundation and end to end analytical methodologies for giving recommendations for actionable outcomes useful for internal and external teams relying on these observations. Learning the procedure of how to source unstructured data and clean, impute, introduce variables to build impactful inferences."See full answer

Anonymous Giraffe - "this is not a helpful interview, she seems so unprepared, confusing, unable to netting it out :("See full answer

Dhruvin S. - "Clarifying questions, Establish problem, Factors to take into account. Dive in with the numbers request specific numbers based on follow up questions, Calculate based on the numbers and Final Recommendation"See full answer

Himanshu G. - "To model ROI for a product launch, the first step is to define the timeline you're targeting Example 6 months post-launch, 1 year, or even 5 years. Tip: Start with a 1-year ROI projection to estimate near-term returns, and build a 3-year projection to evaluate growth and scalability. ROI is essentially the net return over that period: Profit=Revenue (within timeline)−Total Cost (from project start) Total Cost includes both fixed and variable costs incurred since t"See full answer

Seth W. - "As always, I'd start this discussion by asking a couple clarifying questions. In particular, I'd like to learn more from the interviewer about what "not pulling as hard" looks like. Does it mean: lower code output relative to the rest of the team lower velocity per sprint in terms of story points less participation in code reviews minimal participation in meetings and ceremonies Or perhaps it's a combination of these. As others have pointed out, I'd also want to confirm that I am not ma"See full answer

Amparo L. - "I'm currently a School Bus Monitor at First Student, I make sure that the students on the bus are seated down, making sure they are safe during the bus ride. Sometimes depending on the day they may need me to help do a wheelchair so I sometimes help the driver out with making sure the wheelchair is safely secure, hooking up the 4 hooks on the wheelchair, putting the lap belt on the student and also making sure the student feels comfortable during the bus ride. After we finished dropping off our"See full answer

Harish K. - "Swiggy could implement to increase the average order value (AOV) on its platform: 1. Smart Recommendations and Upselling: Personalized suggestions: Leverage data to recommend items based on past orders, popular choices, and trending items in the user's area. Upselling prompts: When a user adds an item to their cart, suggest related or higher-value items (e.g., "Would you like to add a side of fries with that?" or "Upgrade to a large for just ₹X more"). Bundle deals: Offer c"See full answer

Catherine T. - "We want sales to grow, in order to have a growth in revenue. And customer usage as well as it allows to see if our product lead more engagement from our users. So to be able to see this overall evolution I would make a line chart for both : Sales : with month on x-axis and sales revenue on y-axis Customer Usage : with month on x-axis and a KPI allowing to measure customer usage (nblogins or nbsessions or nbgamesplayed, ... depending on the industry) on y-axis Moreover, after knowing th"See full answer

Aaron W. - "Clarification questions What is the purpose of connecting the DB? Do we expect high-volumes of traffic to hit the DB Do we have scalability or reliability concerns? Format Code -> DB Code -> Cache -> DB API -> Cache -> DB - APIs are built for a purpose and have a specified protocol (GET, POST, DELETE) to speak to the DB. APIs can also use a contract to retrieve information from a DB much faster than code. Load balanced APIs -> Cache -> DB **Aut"See full answer

Kusheta K. - "“I once worked with a dataset that had missing and inconsistent tracking. I first evaluated data quality, cleaned what was reliable, and documented assumptions. Then I collaborated with engineers to implement improved event tracking. This ensured more accurate analysis in the future and improved decision-making.”"See full answer

Kevin T. - "When a stakeholder’s request is ambiguous, I start by clarifying the goal and defining what “success” looks like. I ask targeted questions to understand the business problem, the timeframe, the scope/location, and who the analysis is for. Then I confirm definitions (metrics, segments, filters), agree on the expected output format, and restate the request back to them in one sentence before I begin."See full answer

Tim F. - "One project that stands out involved building a customer segmentation dashboard for our marketing team using Power BI. The goal was to help them target campaigns more effectively by segmenting customers based on purchase behavior and demographics. Early in the project, I noticed significant data quality issues in the source tables coming from our CRM system. There were missing values in key fields like customer age and region, duplicate customer IDs, and inconsistencies in how product categories"See full answer

Katherine B. - "We want to use rigorous framework for evaluating shipping a new feature — ideally an A/B test. If an A/B test is not available, we first evaluate quantitative data; we look at feature adoption metrics, time-to-use, retention and frequency of visitation. What does the business impact of the feature on conversion rates, revenue per users and LTV, and secondarily evaluate any error rates that could be occurring after the launch of the new feature. It’s important for this analysis to perform segmen"See full answer

Alex C. - "I would have been destroyed on this."See full answer