SaaS B2B SQL & Python Interview Questions
B2B software companies live by SaaS metrics — MRR, ARR, churn, NRR, LTV, and customer health scores. These SQL and Python challenges are modeled after analytical work at Salesforce, Microsoft, Databricks, Snowflake, HubSpot, Atlassian, Datadog, Workday, ServiceNow, Mixpanel, Amplitude, and more. Build skills in subscription analytics, seat expansion tracking, revenue forecasting, product adoption metrics, and customer success analysis.
These practice problems are modeled after the kind of data and analytics challenges teams in this industry typically face.
Company names and logos are trademarks of their respective owners, used here only to describe the kind of data these companies work with. Let's Data Science is not affiliated with, endorsed by, or sponsored by any company shown. Practice problems are original works and are not real interview questions from these companies. Rights & takedowns.
Difficulty Distribution
Easy
22
18% of problems
Medium
50
42% of problems
Hard
42
35% of problems
Expert
5
4% of problems
What You'll Practice
Topics Covered
All Problems119 total
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119 SQL and Python challenges built from real saas b2b data. Graded instantly in your browser — no setup required.