Amazon Business Analyst Interview Questions and Answers

I conducted a thorough analysis of customer feedback to identify key pain points and improve product features.

• Analyzed customer feedback data from surveys and support tickets to identify recurring issues.

• Utilized data visualization tools to present findings to stakeholders, highlighting trends and patterns.

• Collaborated with the product team to prioritize feature enhancements based on customer needs.

• Implemented A/B...read more

Faced a complex data integration issue that required collaboration and innovative problem-solving to resolve.

• Identified the problem: Data from multiple sources was inconsistent, leading to analysis errors.

• Collaborated with IT: Worked closely with the IT team to understand the data architecture and pinpoint discrepancies.

• Conducted a root cause analysis: Used tools like SQL to trace data lineage and identify where t...read more

Understanding advanced SQL functions like RANK and ROW_NUMBER is crucial for data analysis and reporting.

• RANK() assigns a unique rank to each row within a partition of a result set, with gaps in ranking for ties. Example: RANK() OVER (PARTITION BY department ORDER BY salary DESC).

• ROW_NUMBER() assigns a unique sequential integer to rows within a partition, with no gaps. Example: ROW_NUMBER() OVER (PARTITION BY depa...read more

There are 303 prime numbers between 0 and 2000, including 2, 3, 5, and 1999.

• A prime number is a natural number greater than 1 that cannot be formed by multiplying two smaller natural numbers.

• The first few prime numbers are 2, 3, 5, 7, 11, 13, 17, 19, 23, and 29.

• The largest prime number less than 2000 is 1999.

• To find prime numbers, one can use methods like the Sieve of Eratosthenes.

SQL's GROUP BY clause aggregates data based on specified columns, enabling summary statistics and insights.

• GROUP BY is used to arrange identical data into groups.

• Example: SELECT department, COUNT(*) FROM employees GROUP BY department; - counts employees per department.

• You can use aggregate functions like SUM, AVG, MAX, MIN with GROUP BY.

• Example: SELECT department, AVG(salary) FROM employees GROUP BY department; - ...read more

Utilized STAR methodology to address a project involving data analysis for improving customer satisfaction.

• Situation: Faced declining customer satisfaction scores in Q1.

• Task: Analyze customer feedback data to identify key pain points.

• Action: Conducted surveys and interviews, then used data visualization tools to present findings.

• Result: Implemented changes based on insights, leading to a 20% increase in satisfacti...read more

Using Window Function, Date and Time in a complex SQL query

• Use ROW_NUMBER() to assign a unique number to each row within a partition

• Use PARTITION BY to divide the result set into partitions

• Use ORDER BY to specify the order of rows within each partition

• Utilize functions like LAG(), LEAD(), SUM(), AVG(), etc. within the window frame

SQL window functions allow for advanced data analysis by performing calculations across a set of table rows related to the current row.

• Window functions operate on a set of rows defined by an OVER() clause.

• Common window functions include ROW_NUMBER(), RANK(), DENSE_RANK(), SUM(), AVG(), etc.

• Example: SELECT employee_id, salary, RANK() OVER (ORDER BY salary DESC) AS salary_rank FROM employees;

• Window functions can be ...read more