MicroStrategy Architect

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Data Meaning

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

B2B • Enterprise • SaaS

Data Meaning is a company that specializes in accelerating analytical workloads for businesses, helping them to increase productivity and focus on high-value tasks. They offer managed services, expert-on-demand solutions, and enablement & training programs to help organizations handle increased workloads and embrace new technologies effectively. With over 20 years of experience and more than 800 projects completed, Data Meaning provides expertise in data governance and strategy, aligning data initiatives with business objectives. They target bottlenecks in productivity and offer solutions in sectors like public sector and other industries to improve efficiency and compliance. Their services are designed to help businesses outsource mundane tasks, increase team engagement, and boost work efficiency through specialized skills and frameworks.

📋 Description

• Design and architect enterprise-level BI solutions using MicroStrategy. • Develop and maintain MicroStrategy metadata, schemas, cubes, reports, dossiers, and dashboards. • Define BI architecture standards, best practices, and governance processes. • Optimize report performance, SQL generation, caching, and overall platform efficiency. • Collaborate with Data Engineers and Architects on data warehouse and semantic layer design. • Support enterprise reporting environments, security configurations, and user access management. • Lead troubleshooting and root cause analysis for platform or reporting issues. • Participate in requirement gathering sessions with business and technical stakeholders. • Ensure scalability, maintainability, and reliability of BI solutions. • Mentor developers and provide technical leadership to the BI team.

🎯 Requirements

• 5+ years of experience working with MicroStrategy. • Strong experience with MicroStrategy Architecture, Intelligence Server, and administration. • Hands-on experience with: Dossiers, Intelligent Cubes, Schema Objects, Report Services, Attributes, Facts, Metrics, and Transformations. • Strong SQL skills and understanding of relational databases. • Experience with data warehousing concepts and dimensional modeling. • Experience troubleshooting performance and scalability issues. • Strong understanding of BI governance and enterprise analytics environments. • Ability to communicate effectively with both technical and business teams. • Advanced English communication skills.

🏖️ Benefits

• N/A