How to Connect Employment Hero Payroll to Power BI: Your Complete 2026 Guide

Your finance team exports Employment Hero payroll reports to CSV, manually imports them to Excel, then copy-pastes into Power BI, and you want to know how to connect Employment Hero Payroll to Power BI without custom code or manual exports. Month-end close takes over 10 days. You need automated Employment Hero Payroll data flowing directly into Power BI with zero manual exports.

You connect Employment Hero Payroll to Power BI via a middleware layer that stages data in SQL, then use Power BI’s native database connector. In the service, scheduled refresh supports up to 8 refreshes/day on Pro and 48 on Premium/PPU/Fabric, delivering dependable, near real-time reporting without manual CSVs. Many teams report materially faster reporting cycles once payroll flows automatically into dashboards; results vary by process and scope.

Why Direct Employment Hero API Connections to Power BI Fail

Many finance teams attempt to connect directly to Employment Hero Payroll’s API in Power BI and encounter immediate roadblocks. Users in the Microsoft Fabric Community report spending days troubleshooting with minimal support from either Employment Hero or Microsoft.

The technical reality:

• Employment Hero’s API wasn’t designed for direct integration with BI tools.
• Cross-entity queries require joining data across multiple API endpoints.
• Power BI’s Web/REST connector doesn’t support DirectQuery, and cross-endpoint joins via imports are often slow or brittle at scale. A SQL staging layer avoids these performance and reliability issues.

One user summarised the experience: “Both support teams are directing me to contact the other for support, and I feel this is going nowhere.”

Employment Hero Payroll provides a REST/JSON API with OAuth 2.0 authentication. API availability and limits vary by plan – confirm current access with Employment Hero before you proceed. Contact Employment Hero for current technical specifications. Most finance teams lack the developer resources to build and maintain a custom integration that handles these constraints.

Three Ways to Connect Employment Hero Payroll to Power BI

Direct API connections don’t work for most finance teams. Here are the three practical methods that do work, ranked from most automated to most manual.

Method 1: SQL Database Middleware (Recommended)

This approach solves the API limitation by staging Employment Hero data in a SQL database first. Platforms extract data via Employment Hero’s API, normalise it into a relational structure, then provide Power BI with database credentials for direct connection.

dataSights follows this architecture:

• Employment Hero API → Dedicated Azure SQL Database → Power BI.
• Your payroll data syncs automatically on your schedule.
• Power BI connects using its native SQL connector.
• No manual exports.
• No CSV files.
• No copy-paste workflows.

The SQL staging layer provides what direct API cannot:

• Complex joins across multiple endpoints
• Historical trend analysis
• Filtered queries
• Aggregations.

You build dashboards once. They update automatically.

Method 2: Employment Hero’s Official Integration

Employment Hero provides Power BI integration options through its platform and partner ecosystem. These solutions typically stage data in a SQL database and offer scheduled refresh. Specific schedules and setup processes vary by provider.

This method delivers scheduled (near real-time) payroll visualisation. Reports update automatically post-payroll processing. The platform handles API authentication, rate limiting, and data transformation. You focus on building dashboards instead of wrestling with technical configuration. For scenarios needing fresher data than a scheduled import can provide, consider DirectQuery, hybrid tables, or Direct Lake, with the trade-offs Microsoft documents.

Limitations:

• Most Employment Hero partner integrations, including SyncEzy, refresh on fixed intervals (commonly every 2 hours). Actual frequency varies by plan, ranging from 1-hour to 4-hour intervals depending on your subscription level.
• Pricing varies by company size and support requirements.
• Setup requires working with SyncEzy’s implementation team rather than configuring it yourself.

Method 3: Manual CSV Export via SharePoint

When automated solutions aren’t immediately available, many teams use this workaround:

• Generate custom reports in Employment Hero
• Export to CSV
• Store in SharePoint
• Configure Power BI to refresh from SharePoint files.

Microsoft recommends landing and shaping data in a staging layer (e.g., dataflows) before reporting in Power BI. One Microsoft community user explained their process: “We now have custom reports that extract almost all the information from Employment Hero. We then copy and paste the content into a CSV file stored on a SharePoint site and use it to build Power BI dashboards. Very old school and manual, but it works.”

Manual CSV Export Method

Benefits:

• No API access required
• No additional subscriptions
• Works immediately

Limitations:

• Manual export and file replacement required each payroll period
• Historical data requires archiving multiple files
• Version control becomes messy
• Month-end close extends while waiting for manual exports before dashboards refresh

Setting Up Employment Hero to Power BI Through dataSights

dataSights automates the entire connection process. Here’s what happens:

Step 1: Connect Employment Hero Payroll

• Log in to your dataSights account.
• Select Employment Hero Payroll (formerly KeyPay) from the connector library.
• Authenticate using your Employment Hero credentials.

dataSights begins syncing your historical payroll data immediately.

Step 2: Data Stages in Your Dedicated SQL Database

dataSights creates a secure, dedicated Azure SQL database exclusively for your organisation. This isn’t a shared cloud environment – it’s your own database instance. Your Employment Hero data flows into normalised tables:

• Employees
• Pay runs
• Leave balances
• Timesheets
• Payroll journals.

All relationships maintained. All history preserved.

The platform checks for changes on your configured schedule.

• New pay runs sync automatically.
• Leave approvals sync on your schedule (near real-time depending on refresh frequency and capacity).
• You never manually export data again.

Step 3: Connect Power BI to Your Database

Open Power BI Desktop.

• Select “Get Data” → “SQL Server”.
• Enter your dataSights database credentials (provided in your dashboard).
• Choose the tables you need.
• Build your reports.

Every time you refresh your Power BI report, it pulls the latest data from your dataSights database.

• Your Employment Hero changes flow through automatically.
• No configuration maintenance.
• No API rate limit management.
• No manual file updates.

What Payroll Data Syncs from Employment Hero to Power BI

Employment Hero Payroll contains comprehensive workforce and financial data. When connected to Power BI through automated middleware, you gain access to:

Employee Data

• Full employee records with hire dates, departments, job titles and editable history logs
• Active and terminated employee status tracking for real-time workforce visibility
• Employee demographics for equity analysis, supported through structured diversity and equity reporting tools
• Training and certification records, tracked via employee profiles when HR modules are enabled
• Performance review scores across focus areas, managed through the platform’s dedicated review and reporting functionalities

Advanced tracking of training and certification is available when HR modules are activated; payroll alone covers core employee data, status, and demographics.

Payroll Processing Data

• Complete pay run history with gross pay, deductions, net pay
• Payroll costing by department and cost centre
• Superannuation contributions and tracking
• Tax withholding and reporting
• Overtime and allowance calculations

Leave Management

• Leave balances by type (annual, sick, long service)
• Leave requests and approval workflows
• Upcoming absences for capacity planning
• Leave patterns and trends for well-being analysis

Timesheet Data

• Hours worked by employee, department, project
• Shift patterns and roster adherence
• Billable vs non-billable time allocation
• Labour cost tracking across business units

Building Employment Hero Payroll Dashboards in Power BI

Once Employment Hero data flows into Power BI, you can create dashboards that answer specific business questions.

Payroll Cost Analysis Dashboard

• Track total payroll by month, quarter, and year.
• Break down costs by department, location, and employee type.
• Compare actual payroll spend against the budget.
• Identify cost trends requiring investigation.

Power BI’s drill-down capabilities let executives view high-level payroll totals, then click through to departmental breakdowns, and then individual employee details. The entire chain from summary to transaction detail in one dashboard.

Workforce Composition Dashboard

• Visualise headcount trends over time.
• Segment by full-time, part-time, and casual.
• Track gender and diversity composition for equity reporting.
• Monitor attrition rates by department.
• Identify hiring patterns and gaps.

Integrate Employment Hero data with other systems to deliver comprehensive workforce analytics. Merge payroll data with Xero financial data to analyse labour costs as a percentage of revenue.

Leave and Absence Dashboard

• Monitor upcoming absences for capacity planning.
• Track leave liability by employee and department.
• Identify leave balance outliers requiring attention.
• Analyse leave request patterns to spot potential well-being issues.

Near real-time updates (on your refresh schedule) mean managers see current availability without waiting for monthly HR reports. Teams proactively plan coverage rather than reacting to unexpected absences.

Payroll Compliance Dashboard

• Ensure superannuation contributions meet regulatory requirements.
• Track tax withholding accuracy.
• Monitor award compliance across employee classifications.
• Generate audit-ready reports for regulatory reviews.

Automated data flows mean compliance dashboards update automatically with each pay run. No manual data collection for regulatory reporting periods.

Common Employment Hero to Power BI Connection Issues

Even with automated middleware, finance teams occasionally encounter connection issues. Here are the four most common problems and their solutions.

Issue: “API Key Authentication Failing”

Symptom: Connection attempts return authentication errors despite correct credentials.

Cause: Employment Hero uses OAuth2 authentication for its API with 15-minute access token lifetimes. Direct API connections require refresh token management.

Solution: Middleware platforms manage OAuth2 token refresh automatically. You never handle API keys or tokens.

Issue: “Data Not Updating in Power BI”

Symptom: Power BI reports show stale data despite recent payroll changes in Employment Hero.

Cause: Power BI refresh schedule not aligned with data sync timing, or manual refresh required.

Solution: Configure Power BI dataset refresh to run after your Employment Hero data sync completes. With dataSights scheduled syncs, set Power BI refresh to run 30 minutes after sync completion time. This ensures Power BI pulls the latest data.

Issue: “Missing Historical Payroll Data”

Symptom: Power BI reports show only recent pay runs, not the full employment history.

Cause: Initial sync may take longer for large historical datasets, or API access limitations may limit historical data retrieval.

Solution: Check your middleware platform’s sync status dashboard. Most platforms perform incremental retrieval of historical data. dataSights syncs full historical Employment Hero data on initial connection, with progress visible in your dashboard. Allow 24-48 hours for complete historical sync on organisations with extensive payroll history.

Issue: “Cross-Entity Reporting Not Working”

Symptom: Cannot combine data from multiple Employment Hero business entities in single Power BI report.

Cause: Cross-entity joins over APIs are generally unsuitable for BI due to DirectQuery performance and connector limits. Microsoft recommends modelling for performance and using staging (e.g., dataflows) before reporting.

Solution: SQL database staging solves this completely. Platforms like dataSights sync all connected Employment Hero entities to your database in separate schemas. Power BI queries the consolidated database using standard SQL joins across schemas. You build reports combining all entities without performance issues.

The Cost of Manual Employment Hero Reporting vs Automation

Finance teams manually exporting Employment Hero data to CSV, then importing to Power BI invest 2-4 hours weekly on data updates alone. That’s 104-208 hours annually just maintaining data flows before analysing anything.

Teams commonly report saving 2-4 hours per week on manual updates – about $7,800 – $15,600 per year at a $75/hour internal rate. In our experience, that often means sub-quarter payback, depending on scope and team size.

Automated Employment Hero to Power BI connections through platforms like dataSights eliminate these labour hours entirely.

• Data flows automatically.
• Dashboards update on schedule.
• Finance teams analyse trends rather than copying files.

Payback period: Teams commonly report a sub-quarter payback once manual exports are eliminated, depending on process scope and reporting frequency. The time saved in just one quarter pays for annual automation costs. Every subsequent quarter represents pure efficiency gain.

Beyond direct labour costs, automated data flows improve decision quality. Real-time payroll visibility means managers identify cost overruns before month-end, not after. Leave planning happens proactively rather than reactively. Compliance gaps surface immediately, not during audit.

Three methods connect Employment Hero Payroll to Power BI: SQL middleware (automated, scalable), Employment Hero’s official SyncEzy integration (2-hour refresh), or manual CSV exports via SharePoint (immediate but unsustainable). Direct API connections are rarely practical for finance teams due to OAuth2 complexity and cross-entity query limitations. SQL middleware eliminates these technical barriers while automating data flows that manual processes cannot maintain. Your finance team’s time investment in reporting drops from hours weekly to minutes monthly when Employment Hero data flows automatically into Power BI dashboards.