Data Analyst / Controller (Business Intelligence & Data Modeling)

Founded in 1953, Jungheinrich ranks among the leading solutions providers for the intralogistics sector, with revenue of over €4 billion and more than 19,000 employees worldwide. Our goal is to be the No. 1 choice in intralogistics worldwide. The Group strategy is driven towards growing profitably and creating value sustainably.

As part of this strategy, a unique Global Business Services Center has been established in Brasov, in 2022, working together with all Jungheinrich entities worldwide, providing support in their day-to-day operations.

We are a young organization, in full grow, and we are proud to say that we already proved our capabilities – all our internal customers are very satisfied with the way we work, and our people created strong relationship that makes the team function at its best.

Therefore, a successful candidate would be responsible for:

• Analyze business requirements and translate them into efficient data models and reporting solutions.
• Design, develop, and maintain data models to support business intelligence and management reporting.
• Collaborate closely with business stakeholders to understand analytical and controlling requirements.
• Develop and optimize BI solutions, dashboards, and analytical reports.
• Ensure data quality, consistency, and governance across reporting solutions.
• Work with source systems and integrate data from various SAP and non-SAP environments.
• Support data-driven decision-making by providing meaningful analyses and insights.
• Contribute to the further development of the company's BI and analytics landscape.

Therefore, a successful candidate would have:

• Bachelor's or Master's degree in Economics, Business Administration, Mathematics, Computer Science, Data Science, or a related field.
• 2–5 years of professional experience as a Data Analyst, BI Analyst, Controller, or in a comparable analytical role.
• Strong expertise in SAP BW, SAP Datasphere, or comparable data warehouse technologies.
• Solid experience in data modeling, business intelligence, and analytical reporting.
• Good understanding of manufacturing/operations controlling and/or procurement controlling.
• Experience with SAP ERP (R/3) and/or SAP S/4HANA source systems is an advantage.
• Knowledge of Microsoft Azure, Azure Data Services, and/or Databricks is highly desirable.
• Data science and advanced analytical skills are considered a plus.
• Strong analytical thinking and problem-solving abilities.
• Ability to communicate effectively with both technical and business stakeholders.
• Excellent English language skills (written and spoken).
• Experience with cloud-based data platforms and modern BI architectures.
• Understanding of ETL/ELT processes and data integration concepts.
• Familiarity with reporting and visualization tools (e.g., Power BI, SAP Analytics Cloud, Tableau) is an advantage.

In case we will agree to start working together, you will find here:

• A great team, supporting newcomers to adapt fast and to achieve professional excellence very quickly.
• Excellent working set-up, with flexible schedule and hybrid program, allowing you to maintain a balanced life-work style.
• Professional development opportunities through quality training, constant guidance, and support.
• An attractive compensation package adapted to the market conditions.
• Friendly and cozy work environment.