Data Analyst Interview Questions

Jayveer S. - "WITH suspicious_transactions AS ( SELECT c.first_name, c.last_name, t.receipt_number, COUNT(t.receiptnumber) OVER (PARTITION BY c.customerid) AS noofoffences FROM customers c JOIN transactions t ON c.customerid = t.customerid WHERE t.receipt_number LIKE '%999%' OR t.receipt_number LIKE '%1234%' OR t.receipt_number LIKE '%XYZ%' ) SELECT first_name, last_name, receipt_number, noofoffences FROM suspicious_transactions WHERE noofoffences >= 2;"See full answer

Alina G. - "SELECT upsellcampaignid, COUNT(DISTINCT trans.userid) AS eligibleusers FROM campaign JOIN "transaction" AS trans ON transactiondate BETWEEN datestart AND date_end JOIN user ON trans.userid = user.userid WHERE iseligibleforupsellcampaign = 1 GROUP BY upsellcampaignid `"See full answer

Himanshu G. - "First, I would start by defining what growth means in the context of this new feature whether it's user acquisition, engagement, retention, or revenue. Next, I’d identify clear KPIs that directly align with that growth goal. For example, if the feature aims to improve engagement, I’d track metrics like daily active users, session duration, or feature adoption rate. Once the KPIs are in place, I’d run an A/B test comparing user behavior with and without the feature. This would be followed by de"See full answer

Anonymous Eagle - "I generate insights through stakeholder requirements and the data I have in hand"See full answer

Priyanka D. - "Target Consumers: corporate clients - for business meetings students (in school, college) aspirants who want to take competitive exams/tests Identify underserved customer needs: re-application leads to post-it's not being sticky enough space crunch so user needs to be precise post-its need to stick from all 4 corners for it to be readable and so it folds less writing with pen, marker gets imprinted on next page Define Value Proposition: a small piece of paper with concise list of"See full answer

Dhruv M. - "Thankyou for asking me this answer. What makes me unique in data analytics is my ability to blend technical skills with a strong business mindset. I don’t just focus on building dashboards or running analyses-I always tie the insights back to real business impact. During my internship at Quantara Analytics, for example, I didn’t just track supplier KPI's. I redesigned the reporting process, which cut manual work by 60% and improved decision-making. I’m also proactive about learning tools like Po"See full answer

Himanshu G. - "First, I’d start by checking the alignment of each idea with our core business goals. If any idea doesn't directly contribute to those goals, I’d deprioritize or eliminate it upfront. Next, I’d use a scoring model like RICE (Reach, Impact, Confidence, Effort), especially because effort is a critical factor when resources are limited. This gives us a structured and quantifiable way to rank the ideas. Once we have a prioritized list based on scores, I’d take it a step further and evaluate key as"See full answer

Suhas P. - "Implementing the anomaly Machine learning using some algorithm like Isolation Forest algorithm DBscan algorithm and local data point find algorithm."See full answer