Business Intelligence & Data Quality Clerk (m/f/d)

KNDS Germany develops, manufactures and maintains a wide-spread product portfolio as a system house. These include combat tanks, highly protected wheel vehicles, artillery systems, military bridges, customer service and training solutions. As part of the KNDS Group, we stand for the start of the consolidation of the industry for military land systems in Europe. We offer highly interesting, complex and challenging activities in a collegial environment. Our employees appreciate this, whether in development, production or administration. We successfully combine innovative capability with tradition and many years of experience.

Ensuring the data quality in the Data Mart by monitoring the completeness, consistency and plausibility of the data provided. Technical examination, addition and correction of BOM/Stücklisten structures as well as configuration levels to ensure the correctness and completeness of the content. Processing and provision of data from the DWH layer and the CSV landing zone for evaluations and dashboards. Maintenance of the mapping and harmonisation logic based on technical specifications in coordination with the modeling officers as well as a perspective acquisition of tasks in the data mart modeling (table structures, relationships and history). care of the semantic layer and documentation and management of technically defined key figures, including their derivation from the raw data; Maintenance of a central metric and data catalogue as a reference for the departments. Participation in the history of professional data stands (e.g. construction and master data stands) as a basis for comprehensible and reproducible evaluations as well as AI applications. Development and maintenance of central BI dashboards with focus on performance, reusability and professional correctness. Technical preparation and testing of OPUS10 data deliveries.

Completed commercial or technical training, study of (economic) informatics, economics, mathematics or comparable qualifications. First professional experience in business intelligence, data management, data management or database administration. Good SQL knowledge and practical experience with relational databases. Experience in the development and maintenance of BI dashboards with focus on performance and reusability. Methodological understanding of KPI definitions, semantic layers as well as basics of dimensional modeling and of ETL/ELT processes with the willingness to specialise. Basic knowledge of Python is advantageous as a basis for further development in machine learning and artificial intelligence. Experience in handling piece list, design and configuration data as well as knowledge in SAP modules is of advantage. Very good knowledge of German and good English.

Secure employer Attractive payment by IG metal tariff contract Kita grant Christmas and holiday money Development 30 days off Staff parking Bike leasing Fitness & Health Services Occupational pension Canteen Flexible sliding time controls Grant for the Deutschlandticket Company doctor Corporate Benefits