KION Group

Manager Sustainability Data & Analytics (m/f/d) limited to 2 years

Aschaffenburg, Germany Full time
As Manager Sustainability Data & Analytics (m/f/d) at KION ITS you will be part of an unbeatable team. Your future working day will be characterized by respect, variety and responsibility. Exciting challenges await you every day

This role combines ESG reporting expertise, data architecture ownership, and systems leadership in a complex international industrial organization. As Manager Sustainability Data & Analytics you ensure that sustainability data is accurate, auditable, automated, and compliant with CSRD / ESRS and internal control (ICS) requirements, enabling high quality external reporting and management decision making.

We offer:

Linde Material Handling is a leading global manufacturer of industrial trucks and a provider of services and solutions for intralogistics. With a sales and service network in more than 100 countries, Linde is represented in all major regions of the world. More than around 13,000 people work on the future of intralogistics at Linde Material Handling worldwide. You too can become part of the team!

Your benefits:

  • Attractive compensation package: Compensation according to the collective agreement of IG-Metall with special payments (Christmas/holiday pay, ...) as well as a company performance-related annual bonus and an employer-financed company pension scheme

  • Diverse flexibility: Individual arrangement of your working hours and the opportunity for regular mobile working from home depending on the activity as well as a collectively agreed vacation entitlement of 30 days plus additional compensatory days through a flexible working time account

  • Exciting future perspectives: wide range of personnel development measures with diverse career opportunities

  • Our basics: job bike, subsidy to Deutschland-Ticket, access to LinkedIn Learning Employee Assistance, state-of-the-art IT equipment, parking, company restaurant, employee discounts with external provider

Tasks and Qualifications:

Your tasks:

  • Take end‑to‑end ownership of ESG data and reporting systems, ensuring a future‑proof ESG reporting landscape

  • Administer and continuously optimize ESG reporting tools, including configuration, user management, training, and documentation

  • Define, maintain, and further develop the ESG data and reporting architecture, ensuring compliance with mandatory (CSRD/ESRS, ICS) and voluntary (e.g. CDP, S&P Global CSA) reporting requirements

  • Design and harmonize data integrations and automated data pipelines across ESG and enterprise systems

  • Implement and maintain automated data pipelines, covering ETL processes, data validation, and data quality controls

  • Ensure ESG data is traceable, consistent, and audit‑ready across all reporting cycles and disclosures

  • Translate ESG reporting and business requirements into clear technical specifications and collaborate closely with internal interface functions and external auditors, while driving ESG digitalization, automation, and reporting efficiency initiatives

Your qualifications:

  • Degree in Data Science, Data/Information Management, or a related field, combined with 5–8 years of experience in data platforms, system administration, or integration within ESG/HSE or Finance BI.

  • Proven experience with data integrations, ETL processes, data pipelines, or ESG/HSE systems.

  • Strong ability to translate reporting and business needs into clear technical requirements.

  • Solid understanding of system configuration, data models, and the ability to manage high complexity under time pressure.

  • Clear and structured communication skills, strong stakeholder coordination abilities, and solid Excel proficiency.

Help us create the magic of supply chain solutions. Join our team - Push it forward.

We look forward to getting to know you! Corinna will be happy to answer any initial questions by phone at +49 6021 997266.

See for yourself how many good reasons there are to choose Linde Material Handling and apply online.