Real, anonymous reports from people who interviewed for Business Analyst at Tiger Analytics, newest first and distilled into what to expect across the loop.
I only made it as far as an online assessment. It took about an hour total, and it felt mostly geared toward SQL and basic aptitude rather than a long, multi-round grilling. The test included aptitude-style questions, plus SQL that was relatively straightforward for me, alongside a couple of coding tasks. One coding problem was easy and another was in the medium range, so the overall difficulty stayed in the easy-to-medium band.
My process followed a pretty classic sequence: a technical screen first, then a deeper technical round, and finally an HR conversation. The first round was a combined DSA + SQL style interview where I solved LeetCode-level questions on the easy side, with SQL alongside it. The goal felt like confirming I could write and reason about queries while handling basic problem-solving.
The interview process typically begins with an online assessment that includes aptitude questions, SQL queries, and coding tasks. Candidates should expect a mix of easy to medium difficulty questions that assess practical problem-solving skills rather than theoretical knowledge.
Following the assessment, candidates will engage in multiple technical interviews focusing on coding, machine learning concepts, and project discussions. These interviews often require candidates to demonstrate their understanding of core concepts and apply them to real-world scenarios.
The final stage usually consists of an HR interview that assesses cultural fit, communication skills, and compensation discussions. This round is generally lighter compared to the technical interviews and serves to gauge alignment with the company's values.
Throughout the interview process, there is a strong emphasis on practical application of skills, particularly in SQL, Python, and data visualization tools. Candidates should be prepared to explain their thought processes and how they would approach real business problems.
The overall difficulty of the interviews is often described as average to medium, with some candidates noting specific rounds that felt more challenging, particularly those involving machine learning and statistical reasoning. The tone of the interviews tends to be supportive, allowing candidates to think through problems.
Some candidates experienced challenges with scheduling and communication throughout the interview process, which added stress to their overall experience. Clear communication and structured coordination are important for a smoother interview journey.