DatriseAI-first ETL

Zenefits to Looker Studio Integration

AI-first ETL from Zenefits into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Zenefits into Looker Studio

Datrise syncs Zenefits's employees, departments, employments, time off requests, benefits enrollments, and compensation records into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

Zenefits: HR, benefits, and payroll administration.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Zenefits entities map to Looker Studio

Zenefits entityLooker Studio objectNotes
employeeszenefits_employeesid PK · custom fields → flattened columns for chart fields
departmentszenefits_departmentsid PK · linked to zenefits_employees
employmentszenefits_employmentsid PK · linked to zenefits_employees
time off requestszenefits_time_off_requestsid PK · linked to zenefits_employees

FAQ

How does Datrise handle Zenefits's custom fields in Looker Studio?

Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.

How does the Zenefits to Looker Studio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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