Business Analyst Interview Questions

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

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

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

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

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

Maryam G. - "At one of my project, I worked on a project where we needed to collect data from different sections of a large factory and deliver it to a third-party company responsible for predictive analytics on product quality and production levels. The challenge was that each department had different data types and structures, and in many cases, direct connections were restricted due to strict security policies. My responsibility was to design and implement a solution that could gather all these heterogene"See full answer

Katherine B. - "If we’re using an A/B test we have a few decision criteria that we can use to measure success. If our primary metric has been shown to be statistically significant (and our confidence interval does not cross 0), and the gaurdrail metrics that we created have not been negatively affected, we should consider shipping. If the our p-value is not significant we can still consider shipping beta if the guardrail metrics have not been negatively affected, and we weigh the opportunity cost of not shippin"See full answer

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

Katherine B. - "For ROI for strategic bets, we want to evaluate short term and long-term returns on our investment as well as ensuring we have quantitative and qualitative milestones to measure progress towards the long-term goal. For quantitative evaluation, I would first outline resource investment from upfront capital investment, infrastructure resourcing and clearly capture the opportunity cost of the investment. Then I would set leading success indicators, and business metrics over the timeline of the inv"See full answer

Katherine B. - "We have detailed monitoring and meetings dedicated to discussing the health of the conversion business. When I’ve seen drops in the conversion rate, the first thing I do to diagnose the issue is to work backwards through the conversion funnel. For example, if I see a drop in user adoption rates, I will evaluate if there are any product experiments that could be negatively affecting adoption. Likewise, was there a technical outage that could have caused a drop? Segmentation and cohorting is also"See full answer