10+ Product Business Analyst Interview Questions and Answers

Describing day-to-day activities, A/B testing, Tata cars in India, and difference between rank functions for Product Business Analyst role.

• Day-to-day activities include gathering and analyzing data, creating reports, identifying trends, and collaborating with cross-functional teams.

• A/B testing involves comparing two versions of a product or feature to determine which performs better.

• As of 2021, Tata Motors has sold over 4 million cars in India.

• Rank, dense_rank, and row_number...read more

Answers to SQL-related questions for Product Business Analyst position

• Truncate is a DDL command that removes all rows from a table without logging the individual row deletions, while delete is a DML command that removes specific rows from a table and logs each deletion

• Drop is a DDL command that removes an entire table from the database

• Union combines the results of two or more SELECT statements into a single result set, while Union All includes all rows from each SELECT statem...read more

I effectively managed sprints by prioritizing tasks, maintaining clear communication, and adapting to stakeholder feedback.

• Prioritized backlog items based on stakeholder feedback to ensure alignment with business goals.

• Conducted regular sprint reviews to showcase progress and gather input, leading to adjustments in future sprints.

• Facilitated daily stand-ups to address any blockers and keep the team focused on meeting stakeholder expectations.

• Implemented a feedback loop with s...read more

Criteria for finalizing a 3PL include cost, reliability, technology capabilities, geographic coverage, and customer service.

• Cost: Evaluate pricing structure and compare with competitors.

• Reliability: Check track record for on-time deliveries and accuracy.

• Technology capabilities: Ensure compatibility with your systems and ability to provide real-time tracking.

• Geographic coverage: Consider locations served and proximity to your facilities.

• Customer service: Assess responsiveness,...read more

Key performance indicators (KPIs) for improving supply chain performance include inventory turnover, on-time delivery, lead time, and supplier performance.

• Inventory turnover: measures how quickly inventory is sold and replaced

• On-time delivery: tracks the percentage of orders delivered on time

• Lead time: measures the time it takes for an order to be fulfilled

• Supplier performance: evaluates the reliability and quality of suppliers

SQL query for customer retention rates calculates the percentage of returning customers over a specific period.

• Identify the time period for retention analysis (e.g., monthly, quarterly).

• Use COUNT to find total customers and returning customers.

• Example query: SELECT COUNT(DISTINCT customer_id) AS total_customers FROM orders WHERE order_date BETWEEN '2023-01-01' AND '2023-01-31';

• Example query for returning customers: SELECT COUNT(DISTINCT customer_id) AS returning_customers FRO...read more

Scrum ceremonies are structured meetings that facilitate collaboration and progress in Agile project management.

• Sprint Planning: Teams define the work to be done in the upcoming sprint, e.g., selecting user stories from the backlog.

• Daily Stand-up: A brief daily meeting where team members share updates, e.g., what they did yesterday, what they'll do today.

• Sprint Review: At the end of a sprint, the team demonstrates completed work to stakeholders for feedback.

• Sprint Retrospecti...read more

A rolling sum for sales calculates the cumulative total of sales over a specified period of time.

• Calculate the sum of sales for each day and add it to the previous day's total

• Use a loop to iterate through the sales data and update the rolling sum

• Consider the time period for the rolling sum, such as weekly or monthly totals

SQL problem-solving involves querying databases to extract, manipulate, and analyze data effectively.

• Understand the database schema: Know the tables, relationships, and data types.

• Use SELECT statements to retrieve data: Example: SELECT * FROM users WHERE age > 30;

• Apply JOINs to combine data from multiple tables: Example: SELECT orders.id, users.name FROM orders JOIN users ON orders.user_id = users.id;

• Utilize aggregate functions for analysis: Example: SELECT COUNT(*) FROM sale...read more

Conduct Root Cause Analysis (RCA) to identify reasons for decrease in conversions.

• Review website analytics to identify drop-off points in the conversion funnel.

• Analyze A/B test results to see if recent changes have impacted conversions.

• Interview customers to gather feedback on potential issues with the product or website.

• Check for technical issues such as slow loading times or broken links that may be affecting conversions.