LEADING EMPLOYERS 2026: AXA Konzern AG Ranks Among Germany’s TOP 1% of Employers.

AXA Konzern AG has been recognised as one of Germany’s TOP 1% of employers through its inclusion in LEADING EMPLOYERS 2026 – one of the most comprehensive employer quality certifications in the world.

LEADING EMPLOYERS 2026 stands as a testament to excellence in employer performance. It is more than just a label, but a scientifically grounded, data-driven meta-analysis carried out by the independent Institute of Research & Data Aggregation. It provides a uniquely broad and objective perspective on employer quality.

The certification evaluates companies using over 300 independent data sources, assessing up to 600 data points per organisation across 150 evaluation criteria.  

It reflects performance in nine essential dimensions of contemporary employer excellence:

Attractiveness & Image, Employee Experience, Work-Life-Quality, Compensation & Benefits, Prosperity & Leadership, Culture & Values, Diversity, Equity & Inclusion (DEI), ESG (Environment, Social, Governance) sowie Recruiting Performance.

A broad range of data sources are included in the study, such as:

Employee and applicant feedback, audits, HR and jury-based awards, social media analytics, SEO assessments, career pages and job advertisements, HR benchmarks and academic studies as well as voluntary corporate declarations.

Advantages of the Meta-Analytical Methodology:

• Cross-validation of data reveals patterns and inconsistencies

• Collective intelligence from diverse perspectives

• No bias from self-reporting or marketing input

• Consideration of both quantitative and qualitative factors

• Fully GDPR-compliant, with certifications from institutions such as PwC, Harvard, BCG, and Accenture

Each year, hundreds of thousands of companies are analysed, but only the TOP 1% meet the criteria required to be named a LEADING EMPLOYER. The certification is 100% independent: the selection process is carried out without application, cost, or influence from the organisations evaluated.

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