Your question is Modeling Requirements into Queryable Schemas. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
When you analyze system requirements, your data model determines whether downstream reporting in TEKsystems analytics workflows is accurate, maintainable, and easy to query. Interviewers want to see that you can connect business rules to table design and then retrieve the right data with SQL.
Explain how you would approach data modeling and database querying when analyzing system requirements. Walk through how you identify entities, relationships, keys, and normalization trade-offs, and how those choices affect the SQL you write later. You should also explain how you validate data integrity and how you would structure joins and aggregations to answer reporting questions.
Keep your answer practical rather than theoretical. A strong response should describe a repeatable process: how you move from requirements to schema design, how you decide what belongs in fact-like versus reference tables, and how you ensure the resulting PostgreSQL queries produce reliable business outputs.