
Senior Consultant, Data Warehouse Design / Senior Data Analyst
MID GmbH
full-time
Posted on:
Location Type: Hybrid
Location: Nürnberg • Germany
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Job Level
About the role
- Varied and challenging responsibilities across the entire software development lifecycle in client project assignments
- Independent coordination of diverse requirement specifications with our clients and business departments
- Analysis and conceptualization of data preparation processes from the interface to the KPI
- Development and implementation of relational and multidimensional databases
- Optimization of existing system solutions in the context of Data Warehouse
- Design of the architecture and schema of the Data Warehouse and development of modern solutions for a data model
Requirements
- Degree in (Business) Informatics or another degree program with an IT and/or computer science focus
- At least 5 years of professional experience in agile Business Intelligence or Data Warehouse projects
- Implementation of GDPR-compliant data warehouse solutions
- Professional experience in designing ETL processes and data structures
- Confident use of SQL and experience handling large volumes of data
- Experience designing interfaces to the Data Warehouse and, ideally, designing event-based interfaces with Apache Kafka
- Business-fluent German
- Strong conceptual skills and analytical thinking
Benefits
- Opportunity to focus on client project assignments based on your expertise and talents
- In addition to client projects, the chance to help shape our future topics and support their market rollout
- Attractive compensation package (e.g., bonus, occupational pension scheme, and more)
- Numerous benefits (e.g., JobRad (company bike scheme), sports groups, sabbatical, and more)
- Personal and professional development, tailored onboarding concepts and further training, as well as project responsibility
- Hybrid working models with mobile office, flexible working hours with contracts between 32–40 hours per week
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLETL processesdata structuresrelational databasesmultidimensional databasesdata modelingdata preparationData WarehouseGDPR complianceApache Kafka
Soft Skills
analytical thinkingconceptual skillsindependent coordinationcommunicationclient interaction