7shifts connector
Set up the 7shifts connector in Kaivo: authentication, configuration, the 12 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 7shifts 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 7shifts connector
Sync your 7shifts scheduling and time data into BigQuery with Kaivo to analyse labour cost, hours worked, and staffing across your locations.
Getting started with the 7shifts connector
- Sign up for Kaivo and create a workspace.
- Connect your 7shifts 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 7shifts
Authenticate with your Access Token.
Configuring the 7shifts connector
When you set up the connector, you provide:
Tables and columns synced from 7shifts
Kaivo syncs 12 tables from 7shifts into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
assignments (3 columns)
assignments (3 columns)
Subtable: assignments__departments
Subtable: assignments__locations
Subtable: assignments__roles
companies (27 columns)
companies (27 columns)
department_assignments (7 columns)
department_assignments (7 columns)
departments (9 columns)
departments (9 columns)
location_assignments (5 columns)
location_assignments (5 columns)
locations (35 columns)
locations (35 columns)
role_assignments (10 columns)
role_assignments (10 columns)
roles (13 columns)
roles (13 columns)
Subtable: roles__stations
shifts (29 columns)
shifts (29 columns)
Subtable: shifts__breaks
time_punches (22 columns)
time_punches (22 columns)
Subtable: time_punches__breaks
users (37 columns)
users (37 columns)
wages (3 columns)
wages (3 columns)
Subtable: wages__current_wages
Subtable: wages__upcoming_wages
How the 7shifts sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where 7shifts 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 7shifts?
It depends on how much history is in your 7shifts 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 7shifts'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 7shifts, 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 7shifts 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 7shifts connector in Kaivo and all of its synced data is deleted with it.
Common use cases for 7shifts data
Labour cost tracking
Join shifts and wages by location and role to see scheduled labour cost and compare it against your sales.
Hours and overtime
Use time_punches against scheduled shifts to spot overtime, late clock-ins, and gaps between planned and actual hours.
Staffing by location
Break down assignments and shifts by location and department to see where you are over or understaffed.
Team reporting
Combine users, roles, and departments to report on headcount and staffing mix across the business.
Use 7shifts data in your AI and BI tools
Once 7shifts 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 7shifts 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 7shifts 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.
- Ashby: Sync Ashby to BigQuery.
- BambooHR: Sync BambooHR to BigQuery.
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