You will partner closely with business stakeholders across functions to understand their challenges, design analytical solutions, and communicate findings in ways that drive real outcomes. This is a high-impact, hands-on role suited for someone who is as comfortable building and deploying models as they are presenting insights to non-technical audiences.We offer:
Key Responsibilities
Develop, validate, and deploy machine learning and statistical models to support operational decision-making
Collaborate with business partners to frame problems, identify data needs, and translate analytical outputs into actionable recommendations
Work within a modern cloud-based data platform environment (including Databricks) to access, transform, and analyze data at scale
Contribute to the development of repeatable analytical frameworks, pipelines, and best practices as the team matures
Ensure data quality and discoverability across the analytics environment
Communicate complex findings clearly to both technical peers and non-technical stakeholders
Help build a data-driven culture by demonstrating the value of analytics through practical, high-visibility work
Skills & Capabilities
Proficiency in Python and/or R, with strong SQL skills for data access and manipulation
Demonstrated experience building and deploying ML models (regression, classification, clustering, forecasting)
Experience with cloud-based data platforms; familiarity with Databricks or similar tools (e.g., Snowflake, Azure ML) is a plus
Comfort working with large-scale distributed data in a cloud environment (Azure, AWS, or GCP)
Strong communication skills with the ability to translate analytical work into business impact
A self-starter mindset that is comfortable with some ambiguity and energized by the chance to build something meaningful
A collaborative, intellectually curious approach with a bias toward practical application over theoretical elegance
Skills Required
- Proficiency in Python and/or R
- Strong SQL skills for data access and manipulation
- Demonstrated experience building and deploying ML models (regression, classification, clustering, forecasting)
- Experience with cloud-based data platforms
- Familiarity with Databricks, Snowflake, or Azure ML
- Comfort working with large-scale distributed data in Azure, AWS, or GCP
- Strong communication skills; translate analytical work to business impact
- Self-starter mindset and collaborative approach
What We Do
Looking to make your move? Then you’ve come to the right place! We are the KION Group, and the world of intralogistics is our home. Our solutions ensure the smooth flow of materials and information in production plants, warehouses, and distribution centers in over 100 countries. We have around 41,000 employees who make a real difference, helping us to become who we are today: the biggest manufacturer of forklift trucks and warehouse handling equipment in Europe, and one of the world’s leading warehouse automation providers. Successful? We are, but it’s all down to the motivated, highly trained, and multi-talented people that work for us. Would you like to be part of an international, diverse team? We can offer you interesting jobs and exciting career opportunities in an innovative, rapidly-growing, and forward-looking industry. With us, you benefit from numerous development opportunities in a globally active group, including the possibility of working at one of our locations abroad on a temporary basis. No matter which of our sites you work at, the KION values—integrity, collaboration, courage, and excellence—shape our individual action and our collaboration with colleagues, managers, customers, suppliers, and applicants both nationally and internationally. Who makes up the KION Group? With our international brands Linde Material Handling, STILL, and Baoli, as well as regional brands Fenwick and OM, we stand for exceptional technology and service expertise for forklift trucks and warehouse handling equipment around the world. Dematic expands the portfolio with its automated material handling solutions for intralogistics processes in warehouses, production, and sales
