PayAnalytics - March 2026 feature release notes
This article lists the updates made available to users in the PayAnalytics application in March 2026.
Category of worker - Automatic prepopulation across analyses & reports
EU Pay Transparency Directive (EUPTD) reporting requires pay gap analysis (article 9) and employee right to information reporting (article 7) to be segmented by worker category. Until now, users had to manually re-select the category field in every feature, increasing the risk of inconsistent or missed segmentation.
This month, we introduced in PayAnalytics a new capability that take this manual task off the hands of global/Local Rewards users configuring datasets and running analyses and Data admins setting up the dataset configuration (if not the Rewards teams themselves).
When a 'Category of Worker' field is set in the dataset configuration, it now automatically prepopulates as the default selection in three places:
The Close Pay Gaps by Groups feature
The EU Pay Gap Report wizard
The Pay Transparency Reports (including Employee Pay Transparency Report and the Pay Explainability reports).
Worker category interface
To use the feature, proceed as follows:
Open Dataset Configuration and go to the ID and Group section.
Check the Use worker category box and select the field that represents the worker category (e.g. job grade or job family).
Save the dataset configuration.
When running Close Pay Gaps by Groups, configuring an EU Pay Gap Report, or generating a Pay Transparency Report, the Category of Worker field will already be selected by default — override it if needed.
If the Category of Worker field is cleared from the dataset configuration, all three features revert to using the main employee characterization field as the default.
Automatic data retention cleanup for uploaded datasets
Many organizations are subject to data retention policies that limit how long personal compensation data can be stored. Manual cleanup is error-prone and easy to overlook.
A new feature, targeted at admins responsible for data governance and compliance, will facilitate and streamline this work.
Organizations with a data retention policy enabled will now have uploaded datasets automatically removed once they exceed the configured retention period (minimum 365 days).
When a data retention policy is enabled for your organization, no action is required from end users, cleanup runs automatically on a daily basis once enabled.
Retention actions in the employee datasets