Lever connector
Set up the Lever connector in Kaivo: authentication, configuration, the 7 BigQuery tables it syncs, and answers to common questions.
Written By Lauri Raivio
Last updated 16 days ago
Kaivo is a fully managed data platform that syncs your Lever data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your HR data instead of moving it.
What is the Lever connector
Sync your Lever recruiting data into BigQuery with Kaivo to measure hiring funnel, sourcing, and time to hire across your open roles.
Getting started with the Lever connector
- Sign up for Kaivo and create a workspace.
- Connect your Lever account.
- Choose which tables to sync.
- Wait for the initial sync to finish.
- Query your data in BigQuery or your favourite AI or BI tool.
Authenticating Lever
Authenticate with your API Key.
Configuring the Lever connector
When you set up the connector, you provide:
Tables and columns synced from Lever
Kaivo syncs 7 tables from Lever into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
applications (15 columns)
applications (15 columns)
Subtable: applications__links
Subtable: applications__custom_questions
interviews (17 columns)
interviews (17 columns)
Subtable: interviews__interviewers
Subtable: interviews__feedback_forms
Subtable: interviews__postings
notes (9 columns)
notes (9 columns)
Subtable: notes__fields
offers (10 columns)
offers (10 columns)
Subtable: offers__fields
opportunities (19 columns)
opportunities (19 columns)
Subtable: opportunities__phones
Subtable: opportunities__emails
Subtable: opportunities__links
Subtable: opportunities__tags
Subtable: opportunities__sources
Subtable: opportunities__stage_changes
Subtable: opportunities__followers
Subtable: opportunities__applications
referrals (12 columns)
referrals (12 columns)
Subtable: referrals__fields
users (13 columns)
users (13 columns)
Subtable: users__linked_contact_ids
How the Lever sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Lever supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.
Frequently asked questions
How long does the initial sync take for Lever?
It depends on how much history is in your Lever account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.
Can I sync only some tables or columns?
Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.
What happens when Lever's schema changes?
New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Lever, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.
How do I handle GDPR or data deletion requests?
Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Lever instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Lever connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Lever data
Funnel reporting
Track opportunities and applications to see conversion at each hiring stage.
Sourcing analysis
Use referrals and applications to see which channels bring the strongest candidates.
Interview load
Join interviews with users to balance interviewer workload across roles.
Offer tracking
Use offers to measure offer acceptance and time from application to hire.
Use Lever data in your AI and BI tools
Once Lever data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Lever data.
Claude
Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →
Power BI
Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →
Data Studio
Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →
Tableau
The premium analytics standard, with native BigQuery integration. Setup guide →
Google Sheets
Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →
Excel
Connect via Power Query's BigQuery connector. Setup guide →
Metabase
Open-source BI tool with strong BigQuery support. Setup guide →
See our pricing page for Lever connector pricing and plan details.
Related connectors
- Greenhouse: Sync Greenhouse to BigQuery.
- Kellokortti: Sync Kellokortti to BigQuery.
- Nepton: Sync Nepton to BigQuery.
- Teamtailor: Sync Teamtailor to BigQuery.
- 7shifts: Sync 7shifts to BigQuery.
- Ashby: Sync Ashby to BigQuery.
Was this helpful?
Still need help? Share an idea