Lead complex requirements analysis and solution design for enterprise data warehousing, integration, and business intelligence initiatives, developing functional and technical specifications, user stories, acceptance criteria, and source-to-target mappings.
Compensation
Salary Range: $110,000-$140,000
Responsibilities
Lead complex requirements analysis and solution design for enterprise data warehousing, integration, and business intelligence initiatives
Partner with business stakeholders, data engineers, and architects to evaluate solution alternatives and recommend scalable approaches aligned with enterprise architecture and data governance standards
Independently facilitate cross-functional discovery and design discussions, resolve conflicting requirements, assess technical feasibility, and build stakeholder alignment
Drive analysis and coordination of complex initiatives from intake through delivery, leveraging AI-enabled tools to enhance efficiency, identify risks and dependencies, and recommend adjustments to support roadmap execution
Use advanced SQL and analytical techniques to investigate complex data issues, evaluate source systems, validate transformations, and recommend data quality and integration improvements
Requirements
Bachelor’s degree in Computer Science, Information Systems, Business, Engineering, or a related field, or equivalent practical experience
Nice to have: ETL
Nice to have: enterprise data modeling
Nice to have: source-to-target mappings
Nice to have: complex data integration architectures
As a Solution Analyst on the Data Warehousing team, you will play a key role in the analysis, design, and delivery of complex enterprise data warehousing and business intelligence solutions.
Lead complex requirements analysis and solution design for enterprise data warehousing, integration, and business intelligence initiatives, developing functional and technical specifications, user stories, acceptance criteria, and source-to-target mappings.
Partner with business stakeholders, data engineers, and architects to evaluate solution alternatives and recommend scalable approaches aligned with enterprise architecture and data governance standards.
Independently facilitate cross-functional discovery and design discussions, resolve conflicting requirements, assess technical feasibility, and build stakeholder alignment.
Drive analysis and coordination of complex initiatives from intake through delivery, leveraging AI-enabled tools to enhance efficiency, identify risks and dependencies, and recommend adjustments to support roadmap execution.
Use advanced SQL and analytical techniques to investigate complex data issues, evaluate source systems, validate transformations, and recommend data quality and integration improvements.
Requirements
Bachelor’s degree in Computer Science, Information Systems, Business, Engineering, or a related field, or equivalent practical experience
You will play a key role in feasibility studies, transformation initiatives and implementation projects, translating business requirements into technical solutions.
Compensation
A competitive and performance-related salary dependent on your professional and personal qualifications is granted - we are obliged by law to quote the minimum wage of EUR 3000,- gross per month for this full time position.
Responsibilities
Conduct feasibility studies and transformation initiatives
Translate business requirements into clear specifications for technical implementation
Analyse new data requirements and maintain data catalogues
Investigate issues, identify root causes and present solution options
Analyse business processes and identify opportunities to enhance efficiency