Data and Analytics Manager

Role Overview

The Data and Analytics Manager is responsible for providing data-driven process optimization, business intelligence, analytics, and digital solutions along the entire value chain. They support and advise employees, managers, and process partners in data-driven decisions and the use of modern analysis and reporting solutions.

What You Will Do

The Data and Analytics Manager will be responsible for conceiving, developing, and implementing data-based solutions for process optimization, efficiency increase, and transparency creation. They will identify data potential along the process chain, analyze complex relationships, and derive concrete action recommendations for sustainable improvement of quality, costs, and throughput times.

Why It Might Be a Fit

The ideal candidate will have experience in data analytics, business intelligence, data management, or digital transformation, and will be able to drive digitalization forward and develop meaningful key figure systems, dashboards, and data models for the control of operational and strategic measures.

Requirements

• Completed studies in business informatics, computer science, data science, business engineering, or a comparable qualification
• Several years of professional experience in the field of data analytics, business intelligence, data management, or digital transformation
• Experience in the conception and implementation of data-driven solutions and the introduction of reporting and analysis platforms
• Profound knowledge in data preparation, modeling, and analysis
• Very good knowledge in SQL and experience with modern BI and analytics tools (e.g. Power BI, Tableau, SAC)
• Experience in handling large data sets and developing meaningful key figure and control systems
• Knowledge in the areas of automation, data pipelines, and data integration desirable
• Experience with cloud platforms and data platforms (e.g. Azure, Databricks, Snowflake or comparable)
• Ideally, knowledge in the use of artificial intelligence, machine learning, or generative AI for process and efficiency optimization
• Understanding of business processes in logistics, supply chain management, or production is an advantage
• Knowledge in data governance, data protection, and information security
• Strong analytical skills and a structured and solution-oriented way of working
• High team and communication skills and the ability to present complex issues in a clear and understandable way for different target groups
• Initiative, innovation enthusiasm, and enthusiasm for data-driven decisions and digital transformation

Benefits

• Flexible working hours
• Attractive employee discounts
• Individual further education opportunities
• Disability insurance
• Company pension scheme
• Individual working time accounts