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Business Intelligence Data Analyst
vor 2 Monaten
We are a pioneering company in the field of reusable packaging, offering intelligent solutions to reduce waste and promote sustainability. Our mission is to make reusability the standard, and we're looking for talented individuals to join our team.
Job DescriptionWe are seeking a highly skilled Business Intelligence Engineer to lead and execute strategic analytical and data engineering projects. As a key member of our team, you will be responsible for:
Key Responsibilities- Designing and implementing self-service BI infrastructure to support business intelligence and analytics needs.
- Extracting, transforming, and analyzing large transactional datasets to gain insights into customer behavior and market trends.
- Developing and maintaining scalable data solutions, including ETL pipelines, data warehouses, and reporting tools.
- Creating and optimizing dashboards, reports, and visualizations using a BI tool to meet business requirements.
- Championing best practices in data management, reporting, and analysis to ensure data integrity and efficient test design.
- Proven experience in data modeling, data warehousing, and building robust ETL pipelines.
- Strong proficiency in SQL for data extraction and manipulation, along with knowledge of database systems such as PostgreSQL or similar.
- Scripting experience in Python for data processing, automation, and analysis.
- Hands-on experience with data visualization tools such as Grafana, Tableau, or Power BI.
- A degree in a quantitative field such as Economics, Statistics, Mathematics, Computer Science, Engineering, or Physics.
- Business proficiency in German.
- Fundamental understanding of key business metrics related to finance, operations/supply chain management, and marketing.
- Familiarity with lower-level programming languages such as C#.
- A dynamic and highly motivated team environment.
- Flexible working hours and mobile working options.
- Personal and professional development opportunities.
- Attractive benefits that reflect our company values, including a sustainable corporate culture and opportunities for remote work.
We welcome applications from individuals who share our passion for sustainability and data-driven decision making. If you're interested in joining our team, please submit your application and we'll be in touch to discuss further.
