The Role
Develop and maintain data marts, data models, dashboards, reports, and visualizations using SAP Analytics Cloud and other BI tools. Translate stakeholder requirements into analytical models, ensure data quality, automate analytics processes, and support SAP Business Data Cloud and digital transformation initiatives. Collaborate in agile project teams, communicate insights to management, and help advance the company’s data-driven strategy across SAP and broader analytics platforms.
Summary Generated by Built In
Responsibilities and key activities:
• Collaborate with business stakeholders and cross-functional/international teams to gather requirements and translate business needs into data driven steering instruments
• Design, develop, and maintain data marts and data models to support business reporting and analytics
• Design and develop interactive and high-performance dashboards, reports, and visualizations using SAP Analytics Cloud (SAC), and other BI tools such as Power BI
• Participate within the rollout of the SAP Business Data Cloud (BDC)
• Standardization and automation of processes in the Analytics & BI area
• Participate within the transition of a more traditional company into a data driven company – with thousands of potential internal customers for our services
• Ensure data quality and integrity by implementing data validation
• Stay up-to-date with emerging trends and technologies in business intelligence and data analytics
• Communicate the results of your work to various stakeholders, management and top Management
• Build the bridge to the data analytics / science with tools like MS Azure / Data Bricks / SAP Joule / SAP Business Data Cloud
• Participate within the digital transformation of Jungheinrich – accompany the implementation of SAP S4, SAP C4C, IFS etc. - up to a complete new Business Intelligence (BW/4HANA) and Analytics Toolset
Being part of virtual project teams with agile methods and instruments like JIRA/confluence etc.
Qualifications:
Education : University/Masters’/Bachelors’ Degree in engineering, computer science, statistics, econometrics or a related field
Specialized knowledge : Excellent knowledge of data warehousing, database technologies (ETL) and data modelling, SAP SAC scripting would be an advantage
Skills : Experiences within agile working methods, Strong experience with BI, query design and tools, like SAP BW 4/HANA, SAP Analytics Cloud, Eclipse, PowerBI, SAP BDC / Datasphere would be a plus/but no requirement
Personal requirements:
• Excellent communication skills
• Self-starter, Analytical problem solver, team worker
• Strong analytical competencies, highly structured way of thinking, curiosity and pioneering spirit to explore new correlations
• Ability to translate business requirements into use cases and analytical models
• High customer orientation
Fluent in English
Skills Required
- University, master's, or bachelor's degree in engineering, computer science, statistics, econometrics, or a related field
- Excellent knowledge of data warehousing, database technologies, ETL, and data modeling
- Strong experience with business intelligence, query design, and BI tools
- Experience with agile working methods
- Experience with SAP BW/4HANA, SAP Analytics Cloud, Eclipse, and Power BI
- Knowledge of SAP Business Data Cloud or SAP Datasphere
- SAP Analytics Cloud scripting experience
- Excellent communication skills
- Analytical problem-solving skills and a structured approach
- Ability to translate business requirements into use cases and analytical models
- Fluent English
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The Company
What We Do
Jungheinrich is an international, family-owned manufacturer and provider of intralogistics solutions. It designs, manufactures, and sells a wide range of material-handling equipment, including forklifts, serving businesses that need efficient systems for the movement, storage, and handling of goods. Founded in Hamburg in 1953, the company combines industrial equipment manufacturing with logistics expertise and operates as an international provider for warehouse and supply-chain needs.
