Manager Sustainability Data & Analytics (m/f/d) Limited To 2 Years
KION ITS / Linde Material Handling
Compensation according to ig-metall collective agr...
Hybrid
Csrd and esrs compliance expertise
Esg data pipeline automation
Etl process implementation
The Manager Sustainability Data & Analytics position at KION ITS (Linde Material Handling) focuses on ESG reporting and data management within an international industrial context. The role requires expertise in data architecture and system management, ensuring compliance with reporting standards while fostering a culture of respect and responsibility
Job Summary
This role combines ESG reporting expertise, data architecture ownership, and systems leadership within a complex international industrial organization.
The position ensures sustainability data is accurate, auditable, automated, and compliant with CSRD/ESRS requirements to enable high-quality external reporting.
Candidates will benefit from an attractive compensation package including collective agreement payments, performance bonuses, and a company pension scheme.
Matching Summary
Match Score: 85
The Manager Sustainability Data & Analytics position at KION ITS (Linde Material Handling) focuses on ESG reporting and data management within an international industrial context. The role requires expertise in data architecture and system management, ensuring compliance with reporting standards while fostering a culture of respect and responsibility.
Salary
Compensation according to IG-Metall collective agreement; Company performance-related annual bonus; Employer-financed company pension scheme
Skills & Requirements
Must-have
CSRD and ESRS compliance expertise
ESG data pipeline automation
ETL process implementation
Data validation and quality controls
System configuration for ESG tools
Nice-to-have
Strong stakeholder coordination skills
Experience with CDP reporting
S&P Global CSA familiarity
Clear technical communication abilities
Key Requirements
5-8 years experience in data platforms or ESG systems
Degree in Data Science or Information Management
Proven experience with data integrations and ETL processes