Statistical Depth
Methodologically sound models rather than superficial metrics – from descriptive pay gaps to regression analysis.
Behind the Pay Transparency Assistant stands expertise in statistics, HR, and labor law – with a clear goal: making fair compensation traceable and verifiable.
The EU Pay Transparency Directive requires companies to disclose and explain pay differences. In practice, this often fails at one point: the data exists, but the statistical analysis is complex, error-prone, and difficult to communicate.
This is exactly where the Pay Transparency Assistant comes in. We translate sophisticated methods – from descriptive pay gaps to regression analysis – into reports that HR teams can understand, verify, and submit.
Our goal is simple: make fair compensation traceable and verifiable – for companies that see transparency not as an obligation, but as an opportunity.
Three convictions that shape every analysis and every feature.
Methodologically sound models rather than superficial metrics – from descriptive pay gaps to regression analysis.
Sensitive pay data deserves the highest protection – GDPR-compliant, encrypted, and processed in the EU.
Complex results presented clearly – so HR teams can communicate them confidently and act on them.

Data Analytics & Data Science in HR · Pay Equity Expertise
Julia combines solid statistical knowledge with extensive experience in Data Analytics and Data Science in HR. In her work on pay equity analyses – gender and nationality pay gaps – she makes complex pay differences measurable, traceable, and verifiable.
Her claim: statistical depth that actually lands in HR teams' day-to-day work – transparent, robust, and EU-compliant.
Then get in touch with me – via LinkedIn or by email.
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