Paycor connector

Use your Paycor data for reporting, automation and AI.

Data Panda pulls your Paycor employee records, payroll runs, time entries, benefits enrollments and applicant data into the same warehouse as your finance, sales and operations data. From one place we turn it into dashboards, automations, AI workflows and custom apps that HR, finance and operations leads use during the month, not only on the morning of a board meeting.

About Paycor

A US payroll and HCM suite built for small and mid-market employers, now part of Paychex.

Paycor was founded in 1990 in Cincinnati, Ohio by Bob Coughlin to run payroll for businesses in the local market, and grew over three decades into a national HCM suite covering payroll, HRIS, benefits administration, time and labor, talent management, recruiting, learning and compensation. The company listed on NASDAQ as PYCR in July 2021 and now serves more than forty thousand businesses, mostly in the US small-to-mid-market band where one platform replaces a payroll bureau, a benefits broker portal, a time clock and a separate ATS. Paychex announced the acquisition of Paycor in January 2025 and closed it in April 2025; Paycor continues as a standalone business unit, with customers staying on the Paycor platform and keeping their existing service team relationships.

Inside the platform the records that matter for downstream reporting are the employee register with assignment and pay rate history, payroll runs with earning, deduction and tax detail per check, time entries from the clock and scheduling modules, benefits enrollments per plan and dependent, applicant and requisition data from the recruiting module, and performance review and learning records on the talent side. Pulled into a warehouse next to the GL, the CRM and the operations system, the Paycor record finally answers questions a Paycor report on its own does not: labor cost per store and shift against revenue, overtime concentration that predicts which managers will blow the next monthly budget, benefits-plan adoption against the broker contract assumptions, and offer-acceptance rates per recruiter and role family.

Ideas

What you can automate with Paycor.

Pair with Salesforce

Tie Salesforce quota coverage to the Paycor-staffed seller roster

Active sellers, hire dates and territory assignments from Paycor keep the Salesforce quota-coverage view in sync with the headcount on payroll per region. Revenue leaders see when a region falls below coverage because two AE roles hired in Paycor have not yet been assigned a Salesforce territory, or because two terminations posted in Paycor still own open opportunities. Joined to closed-won ARR per owner, the staffing line becomes a number per rep tied to the revenue they closed.

Pair with HubSpot

Match HubSpot recruiting campaigns to Paycor offer-acceptance per role

Applicants, requisitions and offer outcomes from the Paycor recruiting module land next to HubSpot career-site form fills, ad spend and email engagement on the same campaign key. Talent acquisition sees which sourcing channels produce accepted offers per role family and location, instead of which ones produce the most applicants. Cost-per-hire per channel comes out of the warehouse with the offer-acceptance rate already factored in.

Pair with Slack

Drive Paycor joiner, leaver and overtime moments into Slack

Joiner records in Paycor post a welcome message in the team channel on day one and ping the manager when an onboarding step has been waiting longer than the agreed window per location. Leaver records do the reverse: a manager ping when access revoke has not closed within the policy window, plus an HR-channel summary of the cases that drifted past policy. A weekly digest names the locations where overtime hours crossed the threshold the operations team set, before the payroll run locks the cost in.

Pair with monday.com

Match monday.com project hours to Paycor labor cost per project

Time entries and pay rates from Paycor join monday.com tasks, project codes and assignees on the same employee key in the warehouse. Project leads and finance see the actual loaded labor cost per project, per phase and per client, instead of approximating from a flat hourly rate. Projects that quietly run over budget because two senior people logged the bulk of the hours stop hiding inside the totals.

Pair with HiBob

Run a single people record across HiBob and Paycor for groups straddling the EU and US

Groups with HiBob (Bob) on the EU side and Paycor on the US side end up running two people records, two onboarding flows and two reporting layers. The warehouse holds one. Bob employee, site and time-off data joins Paycor employee, payroll and time data on a shared worker key, so group HR and finance see global headcount per legal entity, comp-band drift between the two regions and time-to-fully-onboarded that compares Brussels and Cincinnati on the same scale, instead of two HRIS exports stapled together.

Pair with Exact Online

Push Paycor payroll output into Exact Online per legal entity

Payroll-run output from Paycor (gross-to-net, employer taxes, benefits-vendor splits) lands in Exact Online as journal entries per legal entity and cost centre, instead of being keyed in from a PDF run summary. Group close stops waiting on a US payroll export to land in the controller's inbox, and the personnel-cost line on the management report ties back to the Paycor run it came from. Variance against the headcount plan reads the moment the run posts, not on the morning of the board meeting.

Your existing tools

Your data lands in a warehouse. Your BI tools read from it.

You keep the reporting tool you already have. We connect it to the warehouse where your Paycor data lives.

Power BI Microsoft

Fabric Microsoft

Snowflake Data warehouse

BigQuery Google

Tableau Visualisation

Excel Sheets & pivots

Three steps

From Paycor to answers in three steps.

Connect securely

OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.

Land in your warehouse

Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.

Reporting, automation, AI

We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.

Two ways to work with us

Pick the track that fits how you work.

Track 01

Self-serve

We set up the foundation. Your team builds on top.

Paycor connector configured and running
Warehouse set up in your cloud account
Clean access for your Power BI, Fabric or Tableau team
Documentation on what's in the data model
Sync monitoring so you're warned before reports break

Best fit Teams that already have a BI analyst or data engineer and want to own the build.

Track 02

Done for you

We build the whole thing, end to end.

Everything in Self-serve
Dashboards built to the questions your team actually asks
Automations between your systems
AI workflows scoped to real tasks your team runs
Custom apps where a dashboard does not cut it
Ongoing delivery at a pace that fits your team

Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.

Before you book

Frequently asked questions.

Who owns the data?

You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.

How fresh is the data?

Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.

Do I need a warehouse already?

No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.

GDPR-compliant

Data stays in the EU

You own the warehouse

A first deliverable live in four to six weeks.

We review your Paycor setup and the systems around it. Together we pick the first thing worth building.

Book a call See our other connectors