Z

ZoomInfo Data Analyst Case Interview (Engineering): SQL-First GTM Analytics and Data Quality

What this covers: A 60-minute, SQL-forward case designed to mirror how ZoomInfo analysts diagnose and explain business problems using large B2B go-to-market datasets. Expect a live querying segment in a shared environment (on-screen SQL), followed by a concise business readout to a cross-functional stakeholder. The interview emphasizes: (1) writing correct and efficient SQL (joins, window functions, cohorting), (2) practical data hygiene and quality checks (nulls, deduplication, reasonableness tests), (3) funnel and product-usage analytics tied to revenue motions, and (4) crisp, bias-to-action communication aligned to ZoomInfo’s culture of being relentless, expert, innovative, entrepreneurial, and team-oriented. Candidates commonly report hands-on SQL/problem-solving and, in some teams, a short case or presentation component; difficulty varies by team and location. Focus areas the interviewer may probe: • Build a metric logic (e.g., conversion or engagement) from ambiguous, messy tables and defend trade-offs. • Investigate an anomaly after a pipeline/process change and propose next steps. • Frame insights for PM/RevOps/Go-To-Market stakeholders and outline a lightweight dashboard/QA plan. Why this is specific to ZoomInfo: public prep resources consistently highlight live SQL and analytics problem-solving for ZoomInfo’s data roles, and the culture rewards action-oriented, business-grounded storytelling alongside technical rigor. Sources: on-screen SQL and analytics emphasis in ZoomInfo interviews, including product/analyst tracks; case/presentation used by some teams; SQL depth tied to cleaning company/contact data; multi-round process with behavioral alignment; values (Relentless, Experts, Innovators, Entrepreneurs, We Are a Team); variability in difficulty noted in candidate reports. ([interviewquery.com](https://www.interviewquery.com/interview-guides/zoominfo-product-analyst?utm_source=chatgpt.com), [datalemur.com](https://datalemur.com/blog/zoominfo-sql-interview-questions?utm_source=chatgpt.com), [4dayweek.io](https://4dayweek.io/interview-process/zoominfo?utm_source=chatgpt.com), [linkedin.com](https://www.linkedin.com/pulse/why-i-ripped-up-our-company-values-started-from-scratch-henry-schuck-uazyc?utm_source=chatgpt.com), [comparably.com](https://www.comparably.com/companies/zoominfo?utm_source=chatgpt.com), [glassdoor.com](https://www.glassdoor.com/Interview/ZoomInfo-Data-Analyst-Interview-Questions-EI_IE22253.0%2C8_KO9%2C21.htm?utm_source=chatgpt.com), [glassdoor.co.in](https://www.glassdoor.co.in/Interview/ZoomInfo-Data-Analyst-Interview-Questions-EI_IE22253.0%2C8_KO9%2C21.htm?utm_source=chatgpt.com))

engineering

8 minutes

Practice with our AI-powered interview system to improve your skills.

About This Interview

Interview Type

PRODUCT SENSE

Difficulty Level

3/5

Interview Tips

• Research the company thoroughly

• Practice common questions

• Prepare your STAR method responses

• Dress appropriately for the role