Teams that already run dashboards on Google Cloud often ask the same thing: can interview results join the rest of our data in BigQuery? They can. This page covers what the NTRVSTA BigQuery integration is for, the reports teams build on it, and how setup works.
What the BigQuery integration does
NTRVSTA's BigQuery integration brings interview data into your BigQuery project so you can use it for hiring analytics. Your analysts query it with the SQL they already use and put it in the same dashboards that show headcount, attrition or sales capacity.
For talent leaders, the benefit is fewer one-off exports. When the CFO asks how many engineers made it through the first round last quarter, or why a sales role has been open for two months, the answer can come from one place instead of a recruiter's spreadsheet.
How teams use NTRVSTA with BigQuery
- Hiring capacity dashboards. Show interviews completed, pass rates and time in each stage by team, so leaders can see where hiring plans are on track.
- Technical vs non-technical comparisons. NTRVSTA runs adaptive interviews for engineering roles (with an exam library covering Java, Python, C++, JavaScript and more) and for roles like sales or support, so you can compare funnels across both.
- Cost reporting. Pair interview volume with your recruiting spend to track cost per hire over time.
- Language and region views. Interviews can run in multiple languages, so global teams can break results out by location and language to spot where candidates drop off.
- Looker and BI reports. Analysts can put interview metrics in the business intelligence tools that already read from BigQuery, so hiring sits on the same screen as other operating metrics.
Start small. A first dashboard with interviews completed, average score by role and days from interview to offer answers most leadership questions. Once recruiters trust those numbers, add deeper views such as score breakdowns by skill area or comparisons of resume scores with interview results.
Setting it up
We set up the BigQuery connection with your data team. Most teams finish within a few days, depending on customization. Plan for a Google Cloud admin on your side to grant access and choose where the data lands.
Want to talk through a dashboard you have in mind? Book a demo and bring the question you most want answered.
About BigQuery
BigQuery is Google Cloud's data warehouse. Google describes it as "the autonomous data to AI platform," which it says automates the data life cycle from ingestion to AI-driven insights. Google also says teams can train, evaluate and deploy predictive models directly in BigQuery using SQL.
Related integrations
- NTRVSTA + Snowflake for another cloud warehouse option.
- NTRVSTA + Databricks for data and AI platforms.
- NTRVSTA + Google Sheets for lighter reporting.
- NTRVSTA + Google Workspace for scheduling and email.
- Background reading: how AI interviews are scored.
Questions
Does NTRVSTA work with BigQuery?
Yes. NTRVSTA integrates with Google BigQuery, so interview data can be brought into your warehouse for reporting. We set it up together with your data team. It fits teams that already use Google Cloud and Google Workspace for the rest of their operations.
How long does BigQuery setup take?
A few days for most teams, depending on customization. Someone who administers your Google Cloud project needs to grant access and pick the destination. It helps to have your first dashboard question ready, since that shapes what data the setup needs to cover.
Do candidates need a Google account to be interviewed?
No. Candidates take the AI interview from a link, with no Google sign-in. BigQuery is only for your internal reporting. Their interview runs the same way whether or not the results are later used in a report.
Before you build the dashboard, see the interview that feeds it. Book a 20-minute demo, or run a sample interview yourself.
